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Vendor Name : IBM
Exam Code : P2090-032
Exam Name : IBM Big Data Fundamentals Technical Mastery Test v1
Questions and Answers : 34 Q & A
Updated On : February 15, 2019
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P2090-032 exam Dumps Source : IBM Big Data Fundamentals Technical Mastery Test v1

Test Code : P2090-032
Test Name : IBM Big Data Fundamentals Technical Mastery Test v1
Vendor Name : IBM
Q&A : 34 Real Questions

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IBM IBM Big Data Fundamentals

IBM cloud lands huge purchasers within the energy sector | killexams.com Real Questions and Pass4sure dumps

IBM Corp. could no longer raise the same variety of clout in the public cloud as rivals comparable to Amazon internet capabilities Inc. and Microsoft Corp., but it surely’s managing to compete in particular area of interest industries where its unique artificial intelligence and statistics analytics capabilities can make all the change.

Such is the case with sensible energy Water, which has simply agreed a multimillion-dollar deal to circulation some of its most crucial workloads to IBM’s cloud from a further leading cloud platform. SEW, which offers consumer engagement, workforce engagement and big records analytics features to energy and utilities groups, talked about it’s relocating to IBM’s cloud with a purpose to take competencies of huge Blue’s highly really expert AI, facts analytics and “internet of issues” capabilities.

The conception is that it may possibly faucet into these services to be able to assist its shoppers make certain that the energy they supply is used more effectively. To do this, SWE offers services to support agencies manage their energy grids extra with ease. It additionally sells sensible meter equipment that help buyers to preserve tabs on their own power use more effectively.

IBM reckons its talents is effective to power sector companies like SEW because many are struggling to movement functions and workloads from on-premises environments to the clouds. That’s because the energy trade is likely one of the most heavily regulated on the earth, and most organizations quite simply don’t be aware of where to start, it referred to.

IBM’s claims are backed via the colossal number of energy establishments with which it has recently partnered. for example, it’s working with TenneT protecting B.V.’s subsidiary TenneT power, which provides vigour to purchasers in Germany and the Netherlands. IBM is assisting TenneT to build a blockchain platform on its cloud that might be able to manipulate the company’s electrical energy grid greater conveniently, assisting it to reduce the cost of providing power from fluctuating renewable energy sources.

different IBM partners in the power trade consist of Ista UK solutions Ltd., which makes use of its cloud to host an interactive power metering and billing platform. There’s also Hydro Ottawa maintaining Inc., which relied on IBM’s skills to abide with the aid of industry regulations when migrating to its cloud platform.

thus far this year, IBM has signed more than $three billion price of latest cloud contracts, together with new clients equivalent to BNP Paribas S.A., Juniper Networks Inc. and the bank of the Philippine Islands.

picture: SEW/fb for the reason that you’re here …

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Taking A Fresche strategy To IBM i-Watson schooling | killexams.com Real Questions and Pass4sure dumps

February 4, 2019 Alex Woodie

there's a large information analytics revolution taking region that threatens to separate the AI haves from the have-nots. businesses that run the IBM i server want to get in on the analytics motion identical to everybody else, but AI discussions frequently stray faraway from IBM i. Now Fresche options is working to close that disconnect with a series of educational classes centered squarely on the intersection of IBM i and Watson.

closing yr, Fresche options labored with IBM last 12 months to put collectively a sequence of onsite training seminars geared toward giving IBM i specialists the tutorial tools they deserve to put into effect Watson of their businesses. The onsite classes had been so a success that Fresche decided to parlay that content material into a collection of online courses that IBM i specialists can entry at their amusement via their internet browser.

Fresche produced a complete of six courses which are divided into two classes, which will also be purchased one at a time or as a part of a bundle. All courses mix a combination of lectures and demos, and are accessed remotely through Fresche’s training website at practicing.freschesolutions.com.

The instructor for the classes is Mike Pavlak, the Fresche IT strategist and IBM Champion. in keeping with Pavlak, the primary route, which is titled “Connecting IBM i purposes to Watson,” is geared towards utility builders, whereas the second path, titled “Connecting IBM i statistics to Watson,” is geared towards statistics engineers and records scientists.

the first path begins with a fundamental introduction to Watson, before entering into extra advanced subject matters in the 2nd segment, corresponding to the usage of soap and relaxation APIs to join IBM i applications to Watson. in the third segment, attendees get in-depth guideline on how to use open source analytics packages, comparable to Python, with Watson and their IBM i purposes.

The 2nd route begins with the basics of developing database connections between IBM i and Watson, in addition to getting access to audit journals and the use of Watson to investigate social media. The second phase offers builders extra superior directions on probably the most underlying HTTP and JSON options. The third section publications attendees in the course of the procedure of building a real-world software that includes facts marts, ETL, and Watson’s laptop learning tech.

Fresche is providing six classes about IBM i and Watson across two classes.

The name “IBM Watson” can also conjure up all types of concepts in individuals’s minds, however’s definitely not all that complex, based on Pavlak. “Watson is essentially an internet carrier,” he says. “It’s application as a provider. That’s it. That’s all it is.”

The service can do loads of issues, from primary pattern focus and facial attention to “full on records analytics,” Pavlak continues. “but it’s in basic terms a service-oriented offering — that means, if you want to use Watson, you’re going to have to push your information and ask it questions and then get a response lower back and parse that as you see fit.”

The classes are respectable for any one who wants greater suggestions on how Watson applied sciences can integrate with IBM i applications. but Pavlak desires to make sure that the expertise is relevant to other applied sciences, and is advantageous in other contexts, too.

“We’re going to through not simply RPG fundamentals in the category, however also the way to leverage Watson from open supply tech, and a few of these more recent applied sciences like Python, Hypertext Preprocessor, and so on,” he says. “There’s lots of Python that makes up the computing device discovering and deep researching space. Watson itself has Python components.”

“What I’m more involved is how i will leverage Python from my IBM i to leverage Watson. Or how can i use RPG or personal home page. What I want to make certain valued clientele have the knowing that they’re now not tied into a selected technology, they’re now not locked into ‘Oh my gosh, i can only use RPG for this or Python for that.’ you have got flexibility and alternatives obtainable.”

In setting up the curriculum, Fresche labored greatly with the IBM Cognitive crew, in addition to with IBM leaders from the Rochester lab, including DB2 for i enterprise architect Scott Forstie and Jesse Gorzinski, IBM i open source company architect. “They were instrumental in helping us,” says Fresche solutions senior director of advertising Christine McDowell.

The online lessons had been available given that early October, and Fresche is now ramping up the awareness campaign to generate demand. “We’re basically enthusiastic about this,” McDowell says. “here's every thing you need to find out about Watson.”

Watson can analyze information to identify tendencies and make predictions about a number of enterprise items, including the attrition charges of recent hires.

Alison Butterill, product offering supervisor for IBM i, says she’s extraordinarily completely satisfied to see the direction log on. “We’re working intently with Fresche and together we’re leveraging their global attain and wide accomplice network to make certain that each person knows how easy it's to use Watson on IBM i,” Butterill says.

Fresche, which bought BCD software, looksoftware, Databorough, and different prominent IBM i vendors, is essentially focused on promoting application used for application modernization. When Fresche engages customers in a modernization initiative, they regularly delivery with a discovery phase, which naturally results in strategy and product roadmap phases down the road.

“lots of times the dialog will turn to facts analytics,” McDowell says. “Our hobby is absolutely is making bound that we’re well-versed in what consumers can do with AI, and making sure that flows through in order that they can make choices for the longer term.”

offering working towards for IBM Watson is a natural evolution for Fresche, says Andy Kulakowski, the president and chief government officer of the Montreal, Quebec-based mostly company.

“We provide strategic IT suggestions for digital transformation enablement and application modernization options to support IBM i shoppers leverage their IT assets,” Kulakowski says. “Our consumers take potential of up to date technologies including AI, cloud, internet and cellular as equipment for achievement. We’re excited to carry training as a way to assist IBM i shoppers increase productiveness and supply sustainable increase for the future.”

each analytics engagement is exciting to a particular enterprise’s mannequin and its strategy. but early large information analytics and AI patterns have emerged, and practitioners are seeing typical subject matters, comparable to inspecting social media content, creating more suitable customer personalization, and optimizing give chain decisions. These are all areas which are ripe for disruption via AI.

“As corporations appear to modernize, they’re taking a look at operational efficiencies, they’re taking a look at offering on greater enterprise value, they’re looking at aggressive threats,” McDowell says. “They’re where they wish to be in five years. know-how is a massive a part of that. It’s an immense driver. And inspecting what analytics can do for them is a huge part of what we’re dealing with.”

Fresche’s two classes are available for $450 each and every, or a bundle with both will also be purchased for $799. For more advice, see training.freschesolutions.com.

linked reports

Fresche Takes $60 Million To gasoline increase, Consolidate Market

A Fresche Emphasis On functions

Fresche Makes daring stream In IBM i Modernization area


IBM can also Get a big enhance From Blockchain | killexams.com Real Questions and Pass4sure dumps

For many years, IBM (NYSE: IBM) has been a respectable, sluggish-increase addition to millions of americans funding portfolios.

Yet big Blue's inventory is mired in slightly of a stoop these days, standing at under $a hundred and seventy per share (besides the fact that children proposing a pleasant 3.7 p.c dividend) as IBM watchers continue to bemoan the know-how giant's so-called growth problem.

whereas IBM's share price is showing indications of existence, its long-term track listing is an additional story. in the past 5 years, the enterprise's share expense has declined by way of 13 percent. additionally, IBM stated a 4 % uptick in annual income increase in the fourth quarter of 2017. it's respectable news, except you be aware of that or not it's the enterprise's first quarter of plus-growth considering 2012 -- a 22-quarter drought.

nevertheless, there's as a minimum some proof that IBM has grew to become the corner, with income era of $22.5 billion within the fourth quarter of 2017, towards estimated analyst profits of $22.1 billion. IBM's strategic initiative philosophy, the place it dives deeper into the profitable (however combative) cloud computing and "large facts" analytics markets, may well be paying off, because the company launches a spearhead into the blockchain distributed ledger computing space.

[See: 7 of the Best Stocks to Buy for 2018.]

but is a brand new company philosophy the complete story as IBM heads into a new 12 months? now not completely, market watchers say.

where is IBM inventory headed? "At present valuations, IBM is a extremely beautiful stock," says Vahan Janigian, a portfolio supervisor for Interactive Brokers Asset management, a Boston-primarily based on-line investing enterprise, and CIO of Greenwich Wealth. "The enterprise has amazing cash flows, mighty income and a generous dividend. The best component it lacks is growth. increase plummeted as a result of administration was sluggish to recognize and make the most excessive-increase alternatives. however that looks to be changing."

Janigian views both the cloud computing and information analytics sectors as "excessive-boom" areas for IBM. "These initiatives now account for essentially half of the business's ordinary revenues and that they helped IBM publish year-over-year revenue growth for the first time in 23 quarters," he says.

That said, IBM's administration has loads of making as much as do before convincing traders that it be at last on the appropriate track.

"clearly, investors were annoyed with the inventory's terrible performance, in particular because the shares of other know-how stocks have soared," Janigian says. "moreover being sluggish to respect increase alternatives, administration spent too much cash purchasing lower back shares when the cost was nevertheless fairly dear."

"In hindsight, they may still have waited except the rate fell," he says. "IBM additionally suffered with employee turnover as some of the choicest employees moved on to improved alternatives."

[Read: The Best Bitcoin Wallet of 2018.]

One area of boom expertise is blockchain, and IBM is already plugging into the emerging disbursed ledger know-how that is been using the cryptocurrency craze world wide.

"In recent years, IBM has pivoted tough from hardware and widely wide-spread aim consulting to laser center of attention on IBM Watson," says Scott Amyx, founding father of ny-primarily based Amyx Ventures and a global expert in blockchain technology. "As a part of that initiative, the business is calling to pressure the enterprise in opposition t exponential applied sciences, like artificial intelligence, cyber web of things (IoT), blockchain, safety and quantum computing. Any authority in IoT would let you know that blockchain is not handiest appropriate however virtually necessary to agree with in a decentralized, networked IoT world."

IBM focuses on blockchain. Amyx says IBM is "forging forward aggressively" with its blockchain offering, specifically to business and executive shoppers. "as a result of the sophistication and complexity, for the foreseeable a couple of years, organizations will lean on IBM and others to support put into effect blockchain into their strategies, particularly where authentication and trust are essential," he says. "these areas may consist of gold, diamonds, chocolate, collectibles to wise contracts and returned-end reconciliations."

Some of those IBM initiatives are lengthy-time period bets, Amyx says, and Wall highway "may additionally not enhance the inventory except there are tangible lifts from these new business strains."

average, Wall road wealth managers see IBM trending upward in 2018, even as it takes time for its blockchain initiative to bear fruit.

Story continues

"I predict the shares to rally from current degrees," Janigian says. "administration projects working profits of $13.80 per share for 2018. If we see boom (even marginal boom) within the first or 2d quarters, it might be low-budget to predict IBM to promote for 14 to fifteen times 2018 anticipated income."

"that could provide the stock a price target of greater than $190 per share by way of year-end," he adds. "I suppose $one hundred eighty per share in six months is completely in your price range."

IBM's mighty dividend graphic and recent earnings boom are also captivating, says Eric Ervin, chief government officer at fact Shares, a San Diego-based mostly asset management enterprise.

"IBM is without doubt one of the more healthy dividend-starting to be, gigantic-cap stocks, and it has robust capabilities to continue increasing its dividend on a forward-searching foundation," he says. "For the primary time in 20-plus quarters, the enterprise just mentioned high quality salary boom, and the company is undervalued with superior salary first-class compared to its peers."

[See: 7 of the Best Dividend Stocks to Buy for 2018.]

The closing be aware on IBM inventory. For IBM buyers, sluggish growth is translating into a little bit faster boom in early 2018, with the opportunity of improved issues to include the enterprise's new cloud, records and blockchain strategic initiatives.

With a little endurance, IBM buyers may additionally view 2018 as a superb year to hold on to "huge Blue". in any case, it definitely can't be an awful lot worse than the remaining few years.

greater From US news & World record


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Guide to vendor-specific IT security certifications | killexams.com real questions and Pass4sure dumps

Despite the wide selection of vendor-specific information technology security certifications, identifying which...

ones best suit your educational or career needs is fairly straightforward.

This guide to vendor-specific IT security certifications includes an alphabetized table of security certification programs from various vendors, a brief description of each certification and advice for further details.

Introduction: Choosing vendor-specific information technology security certifications

The process of choosing the right vendor-specific information technology security certifications is much simpler than choosing vendor-neutral ones. In the vendor-neutral landscape, you must evaluate the pros and cons of various programs to select the best option. On the vendor-specific side, it's only necessary to follow these three steps:

  • Inventory your organization's security infrastructure and identify which vendors' products or services are present.
  • Check this guide (or vendor websites, for products not covered here) to determine whether a certification applies to the products or services in your organization.
  • Decide if spending the time and money to obtain such credentials (or to fund them for your employees) is worth the resulting benefits.
  • In an environment where qualified IT security professionals can choose from numerous job openings, the benefits of individual training and certifications can be hard to appraise.

    Many employers pay certification costs to develop and retain their employees, as well as to boost the organization's in-house expertise. Most see this as a win-win for employers and employees alike, though employers often require full or partial reimbursement for the related costs incurred if employees leave their jobs sooner than some specified payback period after certification.

    There have been quite a few changes since the last survey update in 2015. The Basic category saw a substantial jump in the number of available IT security certifications due to the addition of several Brainbench certifications, in addition to the Cisco Certified Network Associate (CCNA) Cyber Ops certification, the Fortinet Network Security Expert Program and new IBM certifications. 

    2017 IT security certification changes

    Certifications from AccessData, Check Point, IBM and Oracle were added to the Intermediate category, increasing the total number of certifications in that category, as well. However, the number of certifications in the Advanced category decreased, due to several IBM certifications being retired. 

    Vendor IT security certifications Basic information technology security certifications 

    Brainbench basic security certificationsBrainbench offers several basic-level information technology security certifications, each requiring the candidate to pass one exam. Brainbench security-related certifications include:

  • Backup Exec 11d (Symantec)
  • Check Point FireWall-1 Administration
  • Check Point Firewall-1 NG Administration
  • Cisco Security
  • Microsoft Security
  • NetBackup 6.5 (Symantec)
  • Source: Brainbench Information Security Administrator certifications

    CCNA Cyber OpsPrerequisites: None required; training is recommended.

    This associate-level certification prepares cybersecurity professionals for work as cybersecurity analysts responding to security incidents as part of a security operations center team in a large organization.

    The CCNA Cyber Ops certification requires candidates to pass two written exams.

    Source: Cisco Systems CCNA Cyber Ops

    CCNA SecurityPrerequisites: A valid Cisco CCNA Routing and Switching, Cisco Certified Entry Networking Technician or Cisco Certified Internetwork Expert (CCIE) certification.

    This credential validates that associate-level professionals are able to install, troubleshoot and monitor Cisco-routed and switched network devices for the purpose of protecting both the devices and networked data.

    A person with a CCNA Security certification can be expected to understand core security concepts, endpoint security, web and email content security, the management of secure access, and more. He should also be able to demonstrate skills for building a security infrastructure, identifying threats and vulnerabilities to networks, and mitigating security threats. CCNA credential holders also possess the technical skills and expertise necessary to manage protection mechanisms such as firewalls and intrusion prevention systems, network access, endpoint security solutions, and web and email security.

    The successful completion of one exam is required to obtain this credential.

    Source: Cisco Systems CCNA Security

    Check Point Certified Security Administrator (CCSA) R80Prerequisites: Basic knowledge of networking; CCSA training and six months to one year of experience with Check Point products are recommended.

    Check Point's foundation-level credential prepares individuals to install, configure and manage Check Point security system products and technologies, such as security gateways, firewalls and virtual private networks (VPNs). Credential holders also possess the skills necessary to secure network and internet communications, upgrade products, troubleshoot network connections, configure security policies, protect email and message content, defend networks from intrusions and other threats, analyze attacks, manage user access in a corporate LAN environment, and configure tunnels for remote access to corporate resources.

    Candidates must pass a single exam to obtain this credential.

    Source: Check Point CCSA Certification

    IBM Certified Associate -- Endpoint Manager V9.0Prerequisites: IBM suggests that candidates be highly familiar with the IBM Endpoint Manager V9.0 console. They should have experience taking actions; activating analyses; and using Fixlets, tasks and baselines in the environment. They should also understand patching, component services, client log files and troubleshooting within IBM Endpoint Manager.

    This credential recognizes professionals who use IBM Endpoint Manager V9.0 daily. Candidates for this certification should know the key concepts of Endpoint Manager, be able to describe the system's components and be able to use the console to perform routine tasks.

    Successful completion of one exam is required.

    Editor's note: IBM is retiring this certification as of May 31, 2017; there will be a follow-on test available as of April 2017 for IBM BigFix Compliance V9.5 Fundamental Administration, Test C2150-627.

    Source: IBM Certified Associate -- Endpoint Manager V9.0

    IBM Certified Associate -- Security Trusteer Fraud ProtectionPrerequisites: IBM recommends that candidates have experience with network data communications, network security, and the Windows and Mac operating systems.

    This credential pertains mainly to sales engineers who support the Trusteer Fraud product portfolio for web fraud management, and who can implement a Trusteer Fraud solution. Candidates must understand Trusteer product functionality, know how to deploy the product, and be able to troubleshoot the product and analyze the results.

    To obtain this certification, candidates must pass one exam.

    Source: IBM Certified Associate -- Security Trusteer Fraud Protection

    McAfee Product SpecialistPrerequisites: None required; completion of an associated training course is highly recommended.

    McAfee information technology security certification holders possess the knowledge and technical skills necessary to install, configure, manage and troubleshoot specific McAfee products, or, in some cases, a suite of products.

    Candidates should possess one to three years of direct experience with one of the specific product areas.

    The current products targeted by this credential include:

  • McAfee Advanced Threat Defense products
  • McAfee ePolicy Orchestrator and VirusScan products
  • McAfee Network Security Platform
  • McAfee Host Intrusion Prevention
  • McAfee Data Loss Prevention Endpoint products
  • McAfee Security Information and Event Management products
  • All credentials require passing one exam.

    Source: McAfee Certification Program

    Microsoft Technology Associate (MTA)Prerequisites: None; training recommended.

    This credential started as an academic-only credential for students, but Microsoft made it available to the general public in 2012.

    There are 10 different MTA credentials across three tracks (IT Infrastructure with five certs, Database with one and Development with four). The IT Infrastructure track includes a Security Fundamentals credential, and some of the other credentials include security components or topic areas.

    To earn each MTA certification, candidates must pass the corresponding exam. 

    Source: Microsoft MTA Certifications

    Fortinet Network Security Expert (NSE)Prerequisites: Vary by credential.

    The Fortinet NSE program has eight levels, each of which corresponds to a separate network security credential within the program. The credentials are:

  • NSE 1 -- Understand network security concepts.
  • NSE 2 -- Sell Fortinet gateway solutions.
  • NSE 3 (Associate) -- Sell Fortinet advanced security solutions.
  • NSE 4 (Professional) -- Configure and maintain FortiGate Unified Threat Management products.
  • NSE 5 (Analyst) -- Implement network security management and analytics.
  • NSE 6 (Specialist) – Understand advanced security technologies beyond the firewall.
  • NSE 7 (Troubleshooter) -- Troubleshoot internet security issues.
  • NSE 8 (Expert) -- Design, configure, install and troubleshoot a network security solution in a live environment.
  • NSE 1 is open to anyone, but is not required. The NSE 2 and NSE 3 information technology security certifications are available only to Fortinet employees and partners. Candidates for NSE 4 through NSE 8 should take the exams through Pearson VUE.

    Source: Fortinet NSE

    Symantec Certified Specialist (SCS)This security certification program focuses on data protection, high availability and security skills involving Symantec products.

    To become an SCS, candidates must select an area of focus and pass an exam. All the exams cover core elements, such as installation, configuration, product administration, day-to-day operation and troubleshooting for the selected focus area.

    As of this writing, the following exams are available:

  • Exam 250-215: Administration of Symantec Messaging Gateway 10.5
  • Exam 250-410: Administration of Symantec Control Compliance Suite 11.x
  • Exam 250-420: Administration of Symantec VIP
  • Exam 250-423: Administration of Symantec IT Management Suite 8.0
  • Exam 250-424: Administration of Data Loss Prevention 14.5
  • Exam 250-425: Administration of Symantec Cyber Security Services
  • Exam 250-426: Administration of Symantec Data Center Security -- Server Advanced 6.7
  • Exam 250-427: Administration of Symantec Advanced Threat Protection 2.0.2
  • Exam 250-428: Administration of Symantec Endpoint Protection 14
  • Exam 250-513: Administration of Symantec Data Loss Prevention 12
  • Source: Symantec Certification

    Intermediate information technology security certifications 

    AccessData Certified Examiner (ACE)Prerequisites: None required; the AccessData BootCamp and Advanced Forensic Toolkit (FTK) courses are recommended.

    This credential recognizes a professional's proficiency using AccessData's FTK, FTK Imager, Registry Viewer and Password Recovery Toolkit. However, candidates for the certification must also have moderate digital forensic knowledge and be able to interpret results gathered from AccessData tools.

    To obtain this certification, candidates must pass one online exam (which is free). Although a boot camp and advanced courses are available for a fee, AccessData provides a set of free exam preparation videos to help candidates who prefer to self-study.

    The certification is valid for two years, after which credential holders must take the current exam to maintain their certification.

    Source: Syntricate ACE Training

    Cisco Certified Network Professional (CCNP) Security Prerequisites: CCNA Security or any CCIE certification.

    This Cisco credential recognizes professionals who are responsible for router, switch, networking device and appliance security. Candidates must also know how to select, deploy, support and troubleshoot firewalls, VPNs and intrusion detection system/intrusion prevention system products in a networking environment.

    Successful completion of four exams is required.

    Source: Cisco Systems CCNP Security

    Check Point Certified Security Expert (CCSE)Prerequisite: CCSA certification R70 or later.

    This is an intermediate-level credential for security professionals seeking to demonstrate skills at maximizing the performance of security networks.

    A CCSE demonstrates a knowledge of strategies and advanced troubleshooting for Check Point's GAiA operating system, including installing and managing VPN implementations, advanced user management and firewall concepts, policies, and backing up and migrating security gateway and management servers, among other tasks. The CCSE focuses on Check Point's VPN, Security Gateway and Management Server systems.

    To acquire this credential, candidates must pass one exam.

    Source: Check Point CCSE program

    Cisco Cybersecurity SpecialistPrerequisites: None required; CCNA Security certification and an understanding of TCP/IP are strongly recommended.

    This Cisco credential targets IT security professionals who possess in-depth technical skills and knowledge in the field of threat detection and mitigation. The certification focuses on areas such as event monitoring, event analysis (traffic, alarm, security events) and incident response.

    One exam is required.

    Source: Cisco Systems Cybersecurity Specialist

    Certified SonicWall Security Administrator (CSSA)Prerequisites: None required; training is recommended.

    The CSSA exam covers basic administration of SonicWall appliances and the network and system security behind such appliances.

    Classroom training is available, but not required to earn the CSSA. Candidates must pass one exam to become certified.

    Source: SonicWall Certification programs

    EnCase Certified Examiner (EnCE)Prerequisites: Candidates must attend 64 hours of authorized training or have 12 months of computer forensic work experience. Completion of a formal application process is also required.

    Aimed at both private- and public-sector computer forensic specialists, this certification permits individuals to become certified in the use of Guidance Software's EnCase computer forensics tools and software.

    Individuals can gain this certification by passing a two-phase exam: a computer-based component and a practical component.

    Source: Guidance Software EnCE

    EnCase Certified eDiscovery Practitioner (EnCEP)Prerequisites: Candidates must attend one of two authorized training courses and have three months of experience in eDiscovery collection, processing and project management. A formal application process is also required.

    Aimed at both private- and public-sector computer forensic specialists, this certification permits individuals to become certified in the use of Guidance Software's EnCase eDiscovery software, and it recognizes their proficiency in eDiscovery planning, project management and best practices, from legal hold to file creation.

    EnCEP-certified professionals possess the technical skills necessary to manage e-discovery, including the search, collection, preservation and processing of electronically stored information in accordance with the Federal Rules of Civil Procedure.

    Individuals can gain this certification by passing a two-phase exam: a computer-based component and a scenario component.

    Source: Guidance Software EnCEP Certification Program

    IBM Certified Administrator -- Security Guardium V10.0Prerequisites: IBM recommends basic knowledge of operating systems and databases, hardware or virtual machines, networking and protocols, auditing and compliance, and information security guidelines.

    IBM Security Guardium is a suite of protection and monitoring tools designed to protect databases and big data sets. The IBM Certified Administrator -- Security Guardium credential is aimed at administrators who plan, install, configure and manage Guardium implementations. This may include monitoring the environment, including data; defining policy rules; and generating reports.

    Successful completion of one exam is required.

    Source: IBM Security Guardium Certification

    IBM Certified Administrator -- Security QRadar Risk Manager V7.2.6Prerequisites: IBM recommends a working knowledge of IBM Security QRadar SIEM Administration and IBM Security QRadar Risk Manager, as well as general knowledge of networking, risk management, system administration and network topology.

    QRadar Risk Manager automates the risk management process in enterprises by monitoring network device configurations and compliance. The IBM Certified Administrator -- Security QRadar Risk Manager V7.2.6 credential certifies administrators who use QRadar to manage security risks in their organization. Certification candidates must know how to review device configurations, manage devices, monitor policies, schedule tasks and generate reports.

    Successful completion of one exam is required.

    Source: IBM Security QRadar Risk Manager Certification

    IBM Certified Analyst -- Security SiteProtector System V3.1.1Prerequisites: IBM recommends a basic knowledge of the IBM Security Network Intrusion Prevention System (GX) V4.6.2, IBM Security Network Protection (XGS) V5.3.1, Microsoft SQL Server, Windows Server operating system administration and network security.

    The Security SiteProtector System enables organizations to centrally manage their network, server and endpoint security agents and appliances. The IBM Certified Analyst -- Security SiteProtector System V3.1.1 credential is designed to certify security analysts who use the SiteProtector System to monitor and manage events, monitor system health, optimize SiteProtector and generate reports.

    To obtain this certification, candidates must pass one exam.

    Source: IBM Security SiteProtector Certification

    Oracle Certified Expert, Oracle Solaris 10 Certified Security AdministratorPrerequisite: Oracle Certified Professional, Oracle Solaris 10 System Administrator.

    This credential aims to certify experienced Solaris 10 administrators with security interest and experience. It's a midrange credential that focuses on general security principles and features, installing systems securely, application and network security, principle of least privilege, cryptographic features, auditing, and zone security.

    A single exam -- geared toward the Solaris 10 operating system or the OpenSolaris environment -- is required to obtain this credential.

    Source: Oracle Solaris Certification

    Oracle Mobile SecurityPrerequisites: Oracle recommends that candidates understand enterprise mobility, mobile application management and mobile device management; have two years of experience implementing Oracle Access Management Suite Plus 11g; and have experience in at least one other Oracle product family.

    This credential recognizes professionals who create configuration designs and implement the Oracle Mobile Security Suite. Candidates must have a working knowledge of Oracle Mobile Security Suite Access Server, Oracle Mobile Security Suite Administrative Console, Oracle Mobile Security Suite Notification Server, Oracle Mobile Security Suite Containerization and Oracle Mobile Security Suite Provisioning and Policies. They must also know how to deploy the Oracle Mobile Security Suite.

    Although the certification is designed for Oracle PartnerNetwork members, it is available to any candidate. Successful completion of one exam is required.

    Source: Oracle Mobile Security Certification

    RSA Archer Certified Administrator (CA)Prerequisites: None required; Dell EMC highly recommends RSA training and two years of product experience as preparation for the RSA certification exams.

    Dell EMC offers this certification, which is designed for security professionals who manage, administer, maintain and troubleshoot the RSA Archer Governance, Risk and Compliance (GRC) platform.

    Candidates must pass one exam, which focuses on integration and configuration management, security administration, and the data presentation and communication features of the RSA Archer GRC product.

    Source: Dell EMC RSA Archer Certification

    RSA SecurID Certified Administrator (RSA Authentication Manager 8.0)Prerequisites: None required; Dell EMC highly recommends RSA training and two years of product experience as preparation for the RSA certification exams.

    Dell EMC offers this certification, which is designed for security professionals who manage, maintain and administer enterprise security systems based on RSA SecurID system products and RSA Authentication Manager 8.0.

    RSA SecurID CAs can operate and maintain RSA SecurID components within the context of their operational systems and environments; troubleshoot security and implementation problems; and work with updates, patches and fixes. They can also perform administrative functions and populate and manage users, set up and use software authenticators, and understand the configuration required for RSA Authentication Manager 8.0 system operations.

    Source: Dell EMC RSA Authentication Manager Certification

    RSA Security Analytics CAPrerequisites: None required; Dell EMC highly recommends RSA training and two years of product experience as preparation for the RSA certification exams.

    This Dell EMC certification is aimed at security professionals who configure, manage, administer and troubleshoot the RSA Security Analytics product. Knowledge of the product's features, as well the ability to use the product to identify security concerns, are required.

    Candidates must pass one exam, which focuses on RSA Security Analytics functions and capabilities, configuration, management, monitoring and troubleshooting.

    Source: Dell EMC RSA Security Analytics

    Advanced information technology security certifications 

    CCIE SecurityPrerequisites: None required; three to five years of professional working experience recommended.

    Arguably one of the most coveted certifications around, the CCIE is in a league of its own. Having been around since 2002, the CCIE Security track is unrivaled for those interested in dealing with information security topics, tools and technologies in networks built using or around Cisco products and platforms.

    The CCIE certifies that candidates possess expert technical skills and knowledge of security and VPN products; an understanding of Windows, Unix, Linux, network protocols and domain name systems; an understanding of identity management; an in-depth understanding of Layer 2 and 3 network infrastructures; and the ability to configure end-to-end secure networks, as well as to perform troubleshooting and threat mitigation.

    To achieve this certification, candidates must pass both a written and lab exam. The lab exam must be passed within 18 months of the successful completion of the written exam.

    Source: Cisco Systems CCIE Security Certification

    Check Point Certified Managed Security Expert (CCMSE)Prerequisites: CCSE certification R75 or later and 6 months to 1 year of experience with Check Point products.

    This advanced-level credential is aimed at those seeking to learn how to install, configure and troubleshoot Check Point's Multi-Domain Security Management with Virtual System Extension.

    Professionals are expected to know how to migrate physical firewalls to a virtualized environment, install and manage an MDM environment, configure high availability, implement global policies and perform troubleshooting.

    Source: Check Point CCMSE

    Check Point Certified Security Master (CCSM)Prerequisites: CCSE R70 or later and experience with Windows Server, Unix, TCP/IP, and networking and internet technologies.

    The CCSM is the most advanced Check Point certification available. This credential is aimed at security professionals who implement, manage and troubleshoot Check Point security products. Candidates are expected to be experts in perimeter, internal, web and endpoint security systems.

    To acquire this credential, candidates must pass a written exam.

    Source: Check Point CCSM Certification

    Certified SonicWall Security Professional (CCSP)Prerequisites: Attendance at an advanced administration training course.

    Those who achieve this certification have attained a high level of mastery of SonicWall products. In addition, credential holders should be able to deploy, optimize and troubleshoot all the associated product features.

    Earning a CSSP requires taking an advanced administration course that focuses on either network security or secure mobile access, and passing the associated certification exam.

    Source: SonicWall CSSP certification

    IBM Certified Administrator -- Tivoli Monitoring V6.3Prerequisites: Security-related requirements include basic knowledge of SSL, data encryption and system user accounts.

    Those who attain this certification are expected to be capable of planning, installing, configuring, upgrading and customizing workspaces, policies and more. In addition, credential holders should be able to troubleshoot, administer and maintain an IBM Tivoli Monitoring V6.3 environment.

    Candidates must successfully pass one exam.

    Source: IBM Tivoli Certified Administrator

    Master Certified SonicWall Security Administrator (CSSA)The Master CSSA is an intermediate between the base-level CSSA credential (itself an intermediate certification) and the CSSP.

    To qualify for Master CSSA, candidates must pass three (or more) CSSA exams, and then email training@sonicwall.com to request the designation. There are no other charges or requirements involved.

    Source: SonicWall Master CSSA

    Conclusion 

    Remember, when it comes to selecting vendor-specific information technology security certifications, your organization's existing or planned security product purchases should dictate your options. If your security infrastructure includes products from vendors not mentioned here, be sure to check with them to determine if training or certifications on such products are available.

    About the author:Ed Tittel is a 30-plus year IT veteran who's worked as a developer, networking consultant, technical trainer, writer and expert witness. Perhaps best known for creating the Exam Cram series, Ed has contributed to more than 100 books on many computing topics, including titles on information security, Windows OSes and HTML. Ed also blogs regularly for TechTarget (Windows Enterprise Desktop), Tom's IT Pro and GoCertify.


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    Creative AI: On the Democratisation & Escalation of Creativity | killexams.com real questions and Pass4sure dumps

    Chapter 01 by Roelof Pieters & Samim Winiger >>>> Find us at @CreativeDotAI <<<< Introduction

    We live in times, where science fiction authors are struggling to keep up with reality. In recent years, there has been an explosion of research and experiments that deal with creativity and A.I. Almost every week, there is a new bot that paints, writes stories, composes music, designs objects or builds houses: Artificial Intelligence systems performing creative tasks?

    Our research started by wondering about this phenomenon and playfully experimenting with it. This lead to an in-depth investigation, of what we call “CreativeAI”. This document is the first chapter of our adventure into CreativeAI, aiming at establishing a backstory and language we can use to talk about this intricate subject. Our initial intuition was, that creativity is a central force throughout human history — and is currently evolving in interesting ways. In our attempt to understand this phenomenon, we think about creativity and technology in a structured way. We focus on emerging creation patterns, Assisted Creation and Generative Creation, and argue that they are leading to the Democratization and Escalation of Creativity.

    The goal of this project is to find a set of guiding principles, metaphors and ideas that inform the development of a CreativeAI praxis, new theories, experiments, and applications. To explore this space, we investigate history and technology, construct a narrative and develop a vision for a future where CreativeAI helps us raise the human potential.

    INDEX
  • Creativity
  • Assisted Creation
  • Generative Creation
  • Conclusion
  • Authors & Acknowledgments
  • References
  • >>>> Subscribe to our Newsletter <<<<

    Interested to help out bringing AI to studios and agencies in creative industries around the world? We’re hiring at http://join.creative.ai/

    1. Creativity It is central to the human condition and takes many forms in our daily activities, yet defining creativity is challenging. This section provides a selective overview of historical, theoretical and technological metaphors for creativity, relevant for CreativeAI.

    Ancient cultures lacked our concept of creativity, including thinkers of Ancient Greece, China, and India [1]. They viewed creativity as a form of discovery. The rejection of creativity in favor of discovery would dominate the west until the Renaissance. By the 18th century, mention of creativity became more frequent, linked with the concept of imagination [2]. In late 19th century, theorists such as Walls, Wertheimer, Helmholtz and Poincaré [3] began to reflect on and publish their creative processes, pioneering the scientific study of creativity.

    The scientific study of creativity produced many theories, models and systems throughout the 20th century: philosophical, sociological, historical, technical and practical. While defining creativity in objective terms was and still is challenging, the systematic study of creativity and its enabling factors allowed industries such as advertising, architecture, design, fashion, film and music to adopt creative processes rapidly and reproduce them at scale.

    Science, technology and creativity have a long, intertwined history. Selecting which metaphors to explore is an important research decision. We explore three metaphors: Augmented Creativity, Computational Creativity and Creative Systems. Augmented Creativity

    In “As We May Think” (1949), Vannevar Bush imagines the “memex”, a desk-like device where people could search through a library of articles through a series of switches [4]. While entirely mechanical, Bush describes a device that features hyperlinked text, aggregated notes and bookmarks all extending human capacity to research and process information: The web.

    Vannevar Bush / Memex (1949)

    The article inspired a young Douglas Engelbart to quit his job and attend graduate school at UC Berkeley [5]. At Berkeley he wrote a paper, published in 1962 titled “Augmenting the Human Intellect: A Conceptual Framework”. In it, Engelbart, influenced by Bush’s memex concept, wrote about a “writing machine [that] would permit you to use a new process of composing text (..) You can integrate your new ideas more easily, and thus harness your creativity more continuously (..) This will probably allow you to devise and use even-more complex procedures to better harness your talents…” [6].

    Engelbart did not only provide a vision of interacting with a computer system but he had a guiding philosophy [7]. He believed that computers can be used to create an extension for the ways we do thinking, representation and association in our minds [8]. Engelbart’s vision was not just to automate processes but to multiply the power of people and collaborators by creating systems that augment our intellect, humanity and creativity. His goal was to raise the human potential [9].

    Sketchpad (1963) and First Virtual Reality Headset (1968) by Ivan Sutherland

    Ivan Sutherland, a student of Claude Shannon, who in turn was a student of Vannevar Bush, built a working system inspired by the Memex already in 1963. His seminal PhD project “Sketchpad” [10] is considered to be the ancestor of modern computer-aided design (CAD) programs [11]. It demonstrated the potential of interactive computer graphics for technical and creative purposes.

    Sketchpad (1963) and First Virtual Reality Headset (1968) by Ivan Sutherland

    Only a few years later, Engelbart’s Stanford Augmentation Research Center (ARC), invented a range of technologies, still widely used today. Among them, video conferencing and the mouse [12]. Simultaneously, John McCarthy had founded the Stanford Artificial Intelligence Laboratory (SAIL). McCarthy’s group wasn’t concerned with augmentation, but wanted to reproduce the human intelligence electronically [13]. Engelbart’s Center and McCarthy’s Laboratory brought together Ph.D.s, hardware and software hackers, and high school students, including Steve Wozniak and Steve Jobs [14], to experiment collectively.

    Xerox Parc Computers and GUI (1970s) Mass Market Video Chat (2005) / VR (2016)

    When Xerox (a paper company) decided to fund its Palo Alto Research Center (PARC) in 1970 [15], it quickly attracted ARC and SAIL veterans eager to work on personal computing, user interface design and graphics. This facility developed a number of innovations like ethernet and pioneered a new metaphor for doing creative work with computer systems: the Desktop. Soon after Xerox opened its center, a more informal but equally important outlet and movement emerged to explore computers: The Homebrew Computing Club. Homebrew attracted a mix of antiwar activists, makers and computer scientists. Ultimately, Dozens of companies, including Apple and Microsoft, and technologies such as the Personal Computer (PC) would come out the Homebrew movement [16].

    Apple Computer 1, by Apple Computer Company (1976) Computational Creativity

    Already in 1950, Claude Shannon was able to approximate proper English grammar and generate new sentences using computational methods [17]. Such early research in “computational creativity” lead to an interdisciplinary dialog, exploring the use of computational approaches for creative problems.

    IBM 7094 with IBM 7151 Console (1962) / Creative use of Computer Graphics by A. Michael Noll at Bell Labs (1962). Generative music video, by Raven Kwok (2015)

    Starting the early 1960s, researchers at Bell Labs were pioneering the use of computers for creativity. In a series of breakthrough experiments, they generate graphics, animations and art [18] with early computer systems. One of the most active researchers was Michael Noll. In 1970, he made a call to action: “What we really need is a new breed of artist-computer scientist” [19]. Noll’s call was soon echoed by artists and musicians, such as Brian Eno. Already in 1975, Eno was using algorithmic and generative principles to compose music — later describing his work as “using the technology that was invented to make replicas to make originals” [20].

    Backcover of Brian Eno’s Generative Music Album “Discreet Music” (1975) / Computer Generated Ballet — Michale Noll (1960s) Generating Music From Sport Data (2015) / Music Style Transfer (2015) / Machine Learning Drum Machine (2015)

    A further milestone was set in 1979 by Benoit Mandelbrot [21] with the discovery of the Mandelbrot set. He was the first to use computer graphics to display fractal geometric images. By doing so, he was able to show how visual complexity can be created from simple rules. Fractals had a profound effect on our perception of creativity and machine. It led many to ask “can a computer/algorithm be creative?” and inspired scientists, artists and engineers to experiment with creativity.

    Benoit Mandelbrot / Mandelbrot Fractal (1979) Generative Shoe Midsoles by Nervous System (2015) / Mandelbulb 3D Fractals (2009)

    Video games pioneered the industrial application of computational creativity. Around 1978, games started to make extensive use of procedural systems to define game maps and character behaviours [22]. Such methods allowed for the development of complex gameplay without having to spend excessive time creating games. Games such as Simcity [23] by Will Wright developed these concepts further with playful interactive simulations of complex systems.

    Procedural Games: Beneath Apple Manor (1978) / Akalabeth (1980) Procedural Game Universe — No Man’s Sky (2016)

    Since the 1980s, focused research in industry and academia has led to the formalisation of computational creativity as a scientific discipline [24]. At the same time, a wide range of fields — such as computer science, architecture and design — started intensely experimenting with computation creatively. Finding a single definition for computational creativity is challenging, yet many have tried. A currently often cited definition is: “create computations which — if they were made by humans — would be deemed creative” [25].

    DeepForger — Image Style Transfer with Deep Neural Networks (2016)

    Today, interest in creativity from an A.I perspective has begun to blossom, with yearly conferences, schools and PhD programs dedicated to computational creativity [26]. A steady surge of ideas and techniques, that are at least computationally creative in intention, have moved into the mainstream: A.I characters, artificial musicians, journalist bots, generative architecture and neural nets that “dream”. While such systems are nowhere near human capabilities, they are actively being used in culture, industry and academia to create outputs that are increasingly met with great curiosity by the public. In many areas, systems are making the leap from experimentation to production, leading to new creative processes and outputs.

    Woman working on ENIAC — The first electronic general-purpose computer (1940s). Creative Systems

    After World War II, the United States enjoyed a period of euphoria. The Allied Powers had triumphed — seemingly through science, technology and systems thinking. In this environment, the Josiah Macy Jr. Foundation organized a series of conferences from 1946 to 1953 “on the workings of the human mind” [27], later titled “Cybernetics”. The aim of the conferences was to promote meaningful communication across scientific disciplines and restore unity to science [28]. It included people like J.C.R. Licklider, Margaret Mead, Heinz von Foerster, John von Neumann, Claude Shannon and Norbert Wiener.

    Macy Conference attendees (1940s)

    Inspired by the conference, in 1948 Wiener published his seminal work “Cybernetics: or Control and Communication in the Animal and the Machine” [29] and Shannon published “A Mathematical Theory of Communication” [30]. Such works laid the foundation for today’s information age by providing a scientific theory for concepts such as “information”, “communication”, “feedback” and “control”.

    Wiener defined cybernetics as the science of adaptive, feedback-based control [31]. The name comes from the ancient greek word for steersman. Cybernetics takes the view that control in complex environments must be conversational. It requires not just action but also listening and adaptation: To steer a boat across a lake, you have to use your tiller and sails to adjust to changing winds and currents. The cybernetic model of control is circular, decisions depend not only on how well people carry out their intentions but also on how the environment responds.

    An early link between Cybernetics and Creativity was made in 1968 with the exhibition “Cybernetic Serendipity”, at the Institute of Contemporary Arts in London [32]. The show explored connections between creativity and technology. Artists such as Gordon Pask and Nam June Paik were using systems to generated music, poetry, movies, paintings and computer graphics [33].

    This new spirit of creation was addressed by Buckminster Fuller in his notion of the “comprehensive designer”, which he describes as “an emerging synthesis of artist, inventor, mechanic, objective economist and evolutionary strategist” [34].

    Cybernetic Serendipity Exhibition (1968) Cybernetics/Control Theory in action today: Robot, Boston Dynamics (2016), Robotic Painter (2013)

    In the following decades, cybernetic ideas would profoundly impact thinking in fields such as business, politics, art, design and architecture [35]. As Pask noted, “architects are first and foremost systems designers,” but they lack “an underpinning and unifying theory… Cybernetics is a discipline which fills the bill” [36]. By systematically integrating context and relationships, cybernetics pushed creation & design beyond its object-based approach.

    While cybernetics went out of fashion in the 1970s, its legacy lives on in fields such as Control Theory and Complex Systems Studies, Interaction Design and Design Thinking [37]. Today holistic approaches, that attempt to combine technological, human and social needs, are cited in many fields. Inspired by cybernetics, creative systems thinking has found “surprising” application in areas such as software (agile, open-source), management (Google 20% time), labour (Uber / Lyft) and resource allocation (algorithmic trading / amazon).

    Examples / Media The following a selection of projects from Augmented Creativity, Computational Creativity and Creative Systems research. The aim is to provide visual context and show progress over time.

    1. Computer Interaction Input Device (1968)2. Mouse — Mass market Input Device (1982)3. Touch Screen — Input Device (1982)4. Mass Market Voice Control (2011)5. Mass Market Virtual Reality Headset (2016)

    1. Sketchpad — Computer Aided Design (1963)2. Autocad — Mass market CAD Tools (1982)3. Maya — Mass Market 3D CAD (1998)4. Generative Bicycle — 3D Printed (2015)5. Generative Dress — 3D printed (2016)

    1. Tetris — Procedural Gameplay (1984)2. Simcity — Simulation of Complex Systems (1989)3. Spore — Procedural Game Characters (2008)4. Minecraft — Procedural 3D Worlds (2011)5. No Man’s Sky — Universe Simulation (2016)

    1. Hypercubes — Computer Graphics/Animation (1968)2. Fractals — Complexity from Simple Rules (1980)3. Mandelbulb — 3D Fractals(2009)4. DeepDream — Generative Painting (2015)5. NeuralPatch — Generative Style Transfer — (2016)

    — Intermission —

    In the previous section, we explored the long, intertwined history of science, technology and creativity. In this process we investigated three metaphors for creativity: Augmented Creativity, Computational Creativity and Creative Systems. In the following sections, we consider how these metaphors have developed further and extrapolate two main categories of activity today: Assisted Creation and Generative Creation.

    2. Assisted Creation

    Humans have used tools to extend their creative capabilities since the stone age — adapting to changing needs. While mastering creative skills used to be attainable only for few, assistive systems are making creativity more accessible. This section presents three generations of assisted creation systems and explores how they democratise and escalate creativity.

    Inspired by Engelbart’s vision from the 1960s, countless scientific papers and experiments explored how to assist humans to perform “creative” tasks — or as researcher Ben Shneiderman defined it, technologies that allow more people “to be more creative more of the time” [1]. Such research, coupled with the emerging PC revolution, allowed companies like Apple and Lotus to build early digital applications for creative tasks. Ultimately, this movement led to the founding of companies such as Autodesk (1979) [2] and Adobe (1982) [3], that exclusively focused on building tools and systems that enable creativity.

    Industry pioneered the development of first generation assisted creation systems in the 1980s: Photoshop, Autocad, Pro-Tools, Word and many more. First generation systems mimic analogue tools with digital means [4]. The human’s full attention is required to drive the creative process: Feedback is slow and assistance limited. Yet, such tools allowed expert and non-experts alike to be more creative, which lead to a flood of new creative processes and outputs.

    Adobe Photoshop 1.0 (1988) / Autodesk Autocad 1.0 (1982)

    The camera Autofocus, invented by Leica in 1976 [5], is an early example of a second generation assisted creation system. In these systems, humans and machines negotiate the creative process through tight action-feedback loops. The machine is provided with greater agency so control can be shared. Decisions are made collaboratively with the system. Second generation systems are ubiquitous today. They are being used in production across cultures and industries.

    Leica SLR Camera with Autofocus (1976) / Autocorrect (1991) / Autotune (1998)

    Autocorrect, invented in 1991 by Dean Hachamovitch at Microsoft [6], changed how millions of people write — Autotune, invented in 1998 by Andy Hildebrand at Exxon [7], transformed how music is made. The impact such systems had on creativity is hard to measure, yet clearly significant: By lowering the bar of mastery, assisted creation systems empowered experts and non-experts alike to shift their attention to higher level issues, perform complex creative tasks more reliably and experiment quickly. While such systems are not with out their risks and complications [8]- ultimately, they enable us to be more creative, more of the time.

    Assisted Creation 3.0

    Second generation systems are often limited and limiting: Negotiation for control is blunt and interactions not fine grained. Due to such limitation, widely used tools such as autocomplete have a mixed reputation. A set of new ideas and techniques, coming from diverse research disciplines, promise to overcome previous limitations. We define them as Third generation assisted creation systems (AC 3.0). A shared vision is to design systems that negotiate the creative process in fine-grained conversations, augment creative capabilities and accelerate the skill acquisition time, from novice to expert. Third generation assisted creation principles are finding practical use across an expanding range of creative tasks.

    To name a few examples:
  • Assisted Drawing helps illustrators to draw, by correcting strokes.
  • Assisted Writing helps authors to write, by improving text style.
  • Assisted Video helps directors to edit, by fine-tuning movie cuts.
  • Assisted Music helps musicians to make music, by suggesting ideas.
  • Assisted Photo Enhancement (2016) / Assisted User Gesture Map (2014) Assisted Freehand Drawing (2011)

    Describing the breadth of ongoing research in a few examples is challenging, as there are many ideas and domains to explore. To track assisted creation, we analyzed recent research publications across many organisations with the help of machine learning, graph theory and visualization. Judged on quantitative measures (publications and experiments), assisted creation research and use is on the rise across creative disciplines. Notably, Machine Learning (ML) and Human Computer Interaction (HCI) are contributing a steady stream of research, relevant for the design of assisted creation systems. Together, ML and HCI are providing us with a conceptual framework for machine intelligence in a human context.

    Already in 2011 Rebecca Anne Fiebrink, HCI/ML researcher at Goldsmith University, fittingly asked: “Can we find a use for machine learning algorithms in unconventional contexts, such as the support of human creativity and discovery?“ [9]. In the years since, Fiebrink’s call has been taken up by a multidisciplinary community: a wide range of new ideas, theories, experiments, approaches and products are being explored and developed. Ongoing HCI/ML research offer us new possibilities and metaphors for the design of assisted creation systems.

    Selection of graph analysis of ongoing HCI/ML research (AE, 2016) Democratisation and Escalation

    By researching Assisted Creation, we recognise emerging trends, with implications for creativity: 1. Assistive Creation Systems are making a wide range of creative skills more accessible. 2. Collaborative platforms, such as Online Video and Open Source, are making it easier to learn new creative skills. As these trends are increasingly converging, they are accelerating the skill acquisition time from novice to expert. This is leading to a phenomenon we have named “the democratisation of creativity”. We explore these trends further and extrapolate a vision.

    Assisted Handwriting Beautification (2013) / Assisted Fashion Style Selection (2015) / Assisted Animation with Webcam (2015) TREND 1: Creativity is becoming more accessible.

    While having a photo studio or music recording studio at home was but a dream for a 1980s creator, in today’s world it’s one click away. Such trends, observable for many creative tasks, are empowering non-experts and experts alike to be more creative, more of the time. One could say, the price of creation is falling. In this trajectory, a key challenge has been the “high barrier to entry” [10] for those without specific skills or talents. Today, Assisted creation systems are increasingly lowering this “high bar” by actively guiding creative processes and bootstrapping the learning of new skills.

    Assisted Reading (2015) / Assisted Hair Design from Photos (2015) / Assisted CV Writing (2015) TREND 2: Collaboration is becoming more accessible.

    Already in the 1960’s, Engelbart’s vision was not only about enhancing individuals: He wanted to augment the collective intelligence and creativity of groups, to improve collaboration and group problem-solving ability. With the rise of collaboration and social software, and a deeper theoretical understanding of how groups can use technology to self-organize and cooperate, systems are emerging that can make groups effectively more creative. A key notion is that creativity is a collective process that can be strengthened through technology, but goes beyond just technological means. Human capabilities and tool capabilities have to be raised in sync.

    The escalation of creativity

    By projecting these trends into the (near) future, we can start to imagine a scenario we call “the escalation of creativity”: a world where creativity is highly accessible and anyone can write at the level of Shakespeare, compose music on par with Bach, paint in the style of Van Gogh, be a master designer and discover new forms of creative expression. For a person who does not have a particular creative skill, gaining a new capability through assisted creation systems is highly empowering. If creative tasks can be master on-demand and access is democratically shared, age-old notions such as “expert” or “design” are bound to be redefined. Further, this escalation can lead us to scenarios such as using creativity as means of empathic communication — at scale.

    Assisted Drumming with Robotic Arm (2016) / Assisted Physical Table (2015)

    Even though such scenarios are currently fiction, thinking about the implications of the democratisation and escalation of creativity, influences today’s design decisions. Creating systems that are respectful of cultural practices, support different types of creativity, are responsive to human needs, provide feedback transparently and are ethically grounded is proving to be highly challenging already now.

    Automation or Augmentation

    A first question we should ask ourselves when talking about the democratisation and escalation of creativity is “Are we designing tools that empower us or autopilots that replace us?”. Such questions have been negotiated in a global discussion, starting over 5000 years ago with the use of oxen in agriculture [11]. History shows us that any technology has feedback dynamics and momentum, or in the words of Marshall McLuhan: “First we shape our tools, thereafter they shape us” [12]. Nonetheless, we see technology not as a primary force of nature: Human decisions and actions play a key role — negotiated through culture, politics & power.

    Collage of “Portrait of a Family in a Landscape” (1641) / Le Net — First convolutional neural network used to automatically read bank notes — (1989)

    A second question to address is “what does automation mean?”. Our current understanding of automation is heavily influenced by ideas from the industrial revolution: mass producing goods with mechanical butlers. While concerns about mass unemployment due to certain types of automation have to be taken serious, automation is not inherently bad; some “jobs” might be better left to machines, as they can be inhumane and wasteful of human potential. Shifting the discussion to one of human potential and capability — reflecting on our strengths and weaknesses, needs and dreams — allows us to reframe fears of automation as opportunities for augmentation.

    Augmentation is not the same as automation: Where automation promises to “free us from inhumane tasks”, augmentation aims at strengthening our capabilities. It is the notion of raising the collective human potential, not replacing it. To analyse this notion further, we refer to a framework introduced by NASA, for thinking about autonomy: The H-Metaphor [13]. It proposes to view our interactions with systems more as we do with horses, instead of butlers.

    Image from “The H-Metaphor” by NASA (2003)

    Think of a rider on a horse: If a rider uses deliberate movements, the horse follows exactly. As the control becomes vaguer, the horse resorts to familiar behaviour patterns and takes over control. Being able to “loosen or tighten the reins” leads to smooth ebb and flow of control between human and horse, rather than instructions and responses. Considering feedback and control is key.

    HCI/ML Researcher Roderick Murray-Smith suggests using the H-Metaphor and control theory when thinking about interface dynamics. He predicts:

    “Future devices will be able to sense much more on and around them, offering us more ways to interact. We can use this to let go sometimes and be casual about our interactions” [14]. First Film Recording of Race Horse by Eadweard Muybridge (1878)

    Having the ability to interact with systems casually, and let go of control at times, promises substantially improved forms of human-machine and human-human collaboration. By combining human intuition with machine intelligence, shared control principles lets us imagine new creative processes, not possible independently by either human or machine. Such principles promise to make creativity more accessible and raise our collective potential.

    While a range of dystopian outcomes can easily be imagined, we deliberately choose to explore a vision that focuses on opportunities, not fears. In order to prevent bleak future scenarios, complex metaphorical and ethical questions can not be an afterthought, but are an opportunity for collaborative exploration and a call to action for collective decision making.

    Examples / Media

    The following is a selective overview of ongoing assisted creation research, experiments and products, across a range of creative tasks / disciplines.

    Assisted Photography

    1. Assisted Photo Enhancement (2016) 2. Assisted prediction of photo memorability (2015).3. Assisted Categorisation and Tagging of Photos (2015).4. Auto Photo Colorisation (2016)5. Realtime Smile and Emotion Detection (2015).

    Assisted Drawing

    1. Assisted Handwriting Beautification (2013).2. Assisted Freehand Drawing with Real-time Guidance (2013).3. Autocomplete hand-drawn animations (2015).4. Animating drawings with face recognition (2015).5. Robotic Handwriting Assistance (2013).

    Assisted Read/Write

    1. Assisted CV text creation and optimisation (2015).2. Auto-respond to email (2015)3. User guided / Automatic summarization of text (2015).4. Text Style transfer from English to Shakespeare (2015).5. Word Processor with a Crowd Inside (2010).

    Assisted Music

    1.Music style and harmony transfer, genre to genre (2014).2. Composing Music with Augmented Drawing (2009).3. Assisted Musical Genre Recognition (2013).4. 909 Drum-machine that learns from behaviour (2015).5. Assisted Robo Guitarist (2013).

    Assisted Design

    1.Learning Visual Clothing Style (2015).2. Assisted Design of 3d models by merging shapes (2015)3. Learning Perceptual Shape Style Similarity (2015).4. Parsing Sewing Patterns into 3D Garments (2013).5. Shape Shifting Table (2015).

    Assisted Experiments

    1. Wearable Assisted Text-Reading Device (2015).2. Pain Visualization through patient text (2013).3. Hair Modeling with DB (2015).4. Assisted Ethical Decision Making, with a fan (2015).5. Text Entry for Novice2Expert Transitions (2014).

    Assisted Community

    1. Real Time video stream of creative processes (2015).2. Massive Open Course (2012) 3. Large scale Open Source Collaboration (2008).4. Creative Process Question Answer Sites (2010).5. Zero Cost Creative Content Distribution (2007).

    Assisted Culture

    1. Assisted drumming with third robot arm (2016).2. Assisted Vending, selects drinks based on looks (2016). 3. Computer Ballet (2016).4. Assisted Karaoke Singing with Face Swap (2016).5. Pingpong Assistant with AR Glasses (2015).

    3. Generative Creation

    Our abilities to represent complex creative problems is increasing. A fundamental shift in perspective is allowing us to revisit many creative problems. The following section presents generative creation and explores how it democratises and escalates creativity.

    Representation has played a pivotal role throughout human history. Ever more detailed representational systems have allowed us to communicate complex phenomena in understandable terms — to organise information, manage problems and make informed decisions. Since the invention of writing, representational strategies have evolved substantially. From the inclusion of measurement in the early 16th century [1], to the adoption of perspective drawing in the Renaissance [2]: New forms of representation have lead to revolutions in science and technology.

    Historic Representational Experiments

    Abstraction strategies, such as drawing and writing, try to represent big ideas with highly limited means. They force humans to keep all the moving parts in their heads. As Matt Jezyk (Autodesk) suggests, such tools were invented in the age of documentation, where the bandwidth to represent problems was low [3]. Jezyk describes the 20th century as the age of optimization: New techniques, such as simulation expanded our representational bandwidth significantly and allowed many disciplines and industries to adopt reproducible abstraction methods at scale.

    Early 20.Century Simulations

    Historically, the use of simulations were largely isolated in different fields. 20th century studies of systems theory and cybernetics combined with the proliferation of computers led to a more unified, systematic perspective: the age of models. A Model is a high-bandwidth, computational representation of reality. The model represents the system — its characteristics and behaviors — whereas the simulation represents the operation of the system over time. This new representational paradigm does not rely on abstraction methods but tries to make “things that behave like the thing they represent”.

    21st Century Digital Modeling

    Models give us an infrastructure for representing the overall problem. They help us to understand complex interconnected issues and develop a deeper understanding of inherent logic and relationships of parts. While modeling techniques go back till at least the early 1940s (Nuclear-bomb simulation) [4], it was the exclusive domain of experts and inhibitively expensive. Today, modeling and simulation methods are becoming highly accessible and cheap.

    We argue that accessible modeling techniques are allowing us to negotiate a wide range of creative problems from a higher level perspective and create differently. We explore this emerging pattern — culture, technology and implications — and name it the generative age.

    The Generative Age

    Already in the 1960s, Engelbart pointed to the impact digital technologies have on our representational ability: “We can represent information structures within the computer that will generally be far too complex to study directly” [5] . A conceptual link between these new representational abilities and creativity was made in the early 2000s by designers like Patrik Schumacher, co-founder of Zaha Hadid Architects. He describes an “ontological shift”, from the platonic ideal shapes of the past 5000 years, to new computational “primitives“ [6].

    What he was alluding to, is a fundamental shift in perspective, from 3D to nD: While the renaissance age gave us the ability to represent reality from a three dimensional perspective (3D), the generative age enables us to represent (model) complexity and see (infer) reality from a probabilistic, or high dimensional perspective (nD). Inspired by such ideas, influential design manifestos [7], books [8], and software [9] were published, laying the foundation for a new movement: Generative Design.

    Generative Column Design, created with digital manufacturing, by Michael Hansmeyer (2010) “Digital Grotesque”, by Michael Hansmeyer and Benjamin Dillenburger (2013)

    Michael Hansmeyer, an architect, describes Generative Design as “thinking about designing not the object but a process to generate objects” [10]. He is implying a shift from object to process — from certainty to probability — suggesting that instead of designing one “artefact”, we use computational models to design processes that generate infinite “artefacts”.

    “Housing Agency System: Mass-Customization System for Housing” by Autodesk (2012)

    Essentially, Generative Design is an umbrella term — describing ongoing research and developments in diverse fields, ranging from design, architecture, industrial design to machine learning. A shared vision is to empower human designers to explore a greater number of design possibilities from a new perspective and lower the time between intention and execution. In the generative age, the cost of creating diversity and complexity is falling. This allows us to create an order of magnitude more elaborate form and function. For example: bicycles that are mass-customizable to people’s individual taste, while using a fraction of the material traditionally required. While generative approaches are not constrained to any particular field, notably architecture and more recently design have been among the first disciplines to systematically take hold of these approaches, as illustrated in the following examples.

    Generative Dress: “Kinematics” by Nervous System (2014) / Generative Shoes: “Molecule-shoes” by Francis Bitonti (2014)/ Generative Shirts: “Processing Foundation” (2015) Generative Car: “Hack Rod” by Autodesk (2015) / Generative Bicycle: “Skeleton” by Gary Liao (2016) Generative Study “gaudism” by echonoise (2013) / Generative Architecture “Heydar Aliyev Centre” by Zaha Hadid (2012) / Generative Study by Designmorphine (2015) Generative Chair with “Dreamcatcher” by Autodesk (2015) / Generative Lamp “Hyphae” by Nervous System (2014) / Lamp made with 3d room scan by Hybrid Platform (2015) Generative Bow: “Tekina — Optimal Recurve Bow” by Aminimal Studio (2015) / Generative Motion Art by Raven Kwok (2015)

    While Generative Models have been used for creative applications since the 1970s (procedural game), recent research advances — driven notably by Machine Learning and Deep Learning — are leading to a quantitative and qualitative leap in generative modeling capabilities. Today, new models are released practically every week. Research projects with acronyms such as VAE [11], DRAW [12], VRNN [13], GAN [14], DCGAN [15], LAPGAN [16] and GRAN [17] are allowing us to model complexity with greater resolution and apply modelling techniques to a wider range of creative problems.

    Autoencoding images beyond pixels (2015)

    The application of generative machine learning models to creative tasks is a recent development, yet it is already leading to the discovery of new primitives for creation: Design building blocks that are applicable across many creative domains. Such creative generative models have been successfully used to generate fashion items, paintings, music, poems, song lyrics, journalistic news articles, furniture, image and video effects, industrial design, comics, illustrations and architecture, to name just a few of its applications. See “Examples” section for a selection of projects.

    “Semantic Shape Editing Using Deform Handles” (2015) / “Procedural Modeling Using Autoencoder Networks” (2015) “NeuralDoodle” — Semantic Image Style Transfer (2016) / Automatic Colorization of B/W images with neural nets (2016) / “Neural Image Analogies”(2001/2016) Deep Visual Analogy-Making (2015) / Generative Form Editor “Cindermedusae” (2015) / Exploratory Modeling with Collaborative Design (2012) Generated Street Sign Images (2015) / Generated Fake Chinese Characters (2015) / Generated Choreography and Animation (2016) RNN generated Super Mario Levels (2016) / RNN generated TED Talks (2015) / RNN generated Wikipedia Article (2015) Artist Agent: Reinforcement learning ink painting (2013) / BrainFM — Dynamic Generative Music for Relaxation (2015) / Jukedeck — Generative Music for Videos (2015)

    Generative models let us explore data in unprecedented ways. To give an example, imagine a chair: we can represent its characteristics, such as color, height or style, as dimensions in high-dimensional information spaces. This space can be filled with data about millions of chairs. Chairs with similar characteristics are mapped in vicinity of each other. This creates a chair model, which can be explored and visualized.

    “Joint Embeddings of Shapes and Images via CNN Image Purification” (2015)

    Such high-dimensional topologies allow us to easily retrieve information, explore data and ask questions about relationships, logic and meaning: e.g. “Show me all chairs that are red and tall”. Further, they allow us to make predictions and infer new characteristics: e.g. “Show me all chairs, that are similar to chair A and B but unlike chair C”. Finally, we can use high-dimensional spaces to generate new objects: e.g. “Make me a chair that resembles a car, and is comfortable to sit in”.

    Generative models invite designers to play with data and generated infinite imaginative variations and solutions to creative problems. By having powerful tools to explore, optimise and test creative design ideas rapidly, we computationally maximise the opportunity for serendipity. While generative models can be used to perform classical creative tasks efficiently, additionally they open up a range of new creative capabilities, incomparable with classical methods.

    Artificial Serendipity: Systems that maximise the opportunity for serendipity.

    Multi-Modal Network Diagram (2015) / Generating Stories about Images (2015)

    Recent advances in machine learning make it possible to include data from different “modalities” in a single model. It enables us to translate between modalities. The key insight is that all forms of information can be encoded in a shared information space. Early research into multimodality has lead to a set of widely adopted systems: “Auto Translate” [18] lets us translate from one language to another, “Speech2Text” [19] transcribes audio to text. Multi-modal machine learning is allowing for more complex scenarios, which go beyond simple translation of data: Generate Images from Text [20], Text from Videos [21], Music from Movement [22], 3D shapes from shopping data, etc. We call this:

    Artificial Synesthesia: Systems that enable inter-sensory experiences.

    Democratisation and Escalation

    The Generative age gives us a new canvas for creativity, which we have only just started to explore. While it is hard to predict where these developments will take us, emerging trends are worth investigating — as their impact can already be felt. By extrapolating these developments and thinking about their implications, we arrive at a scenario we call “the democratisation and escalation of creativity”.

    We explore this notion further and describe four trends: Image from Apollo 10 Space Mission (1969) Image from “Large-scale Image Memorability” (2015)

    1. Generative Perspective: For the first time in human history, we can create from a blended, or generative perspective — as it mixes elements of the collective human perspective, machine perspective and individual perspective. It gives us the ability to transcend creative constraints, such as habit, socialisation and education, and create objects which are altogether new.

    2. Generative Predictions: Take the concept of recommendation, personalization and customisation and apply it to the creative process. The vision is to have systems that suggest potential next “actions”, allow people to casually adjust aspects of designs according to personal needs and histories, and enable us to playfully discover creativity.

    Image from “Corporate Social Networking Platforms As Cognitive Factories” (2016) Image from “Generative strategies for welding” (2016)

    3. Generative Markets: In the future, generative models might be shared in an open collaborative model marketplace (OCMM). While current marketplaces allow us to trade artefacts/products, generative markets will facilitate the sharing of recipes to create unlimited new artefacts. In essence, think of it as GitHub for open-source creativity.

    4. Generative Manufacturing: Emerging digital manufacturing techniques, such as 3D printing, combined with generative systems used to create physical objects. Early signs of such trends can be observed in things such as Shapeways, Kickstarter and the “maker movement”. It’s starting to redefine the relationship between creation, production and consumption.

    Autodesk Project “Dreamcatcher” (2015)

    When projecting such scenarios even further into the future, we arrive at the realisation that Generative Creation has profound implications for fields like technology, manufacturing, resource allocation, economics and politics. Already today, Generative Creation methods are leading to the democratisation of creativity in many areas. By lowering the time between intention and realisation, Generative Creation is leading to an escalation of new “artefacts” — forms, functions and aesthetics. It allows us to explore what lies beyond the artefact.

    Combined with new manufacturing techniques, generative creation is redefining concepts such as production, consumption, labour and innovation. As current economic models are largely built around the notion of “artefacts”, a renegotiation of fundamentals is foreseeable. While predicting the future of the demo-cratisation and escalation of creativity is impossible, thinking about narrative, opportunities and implications, informs today’s decisions and visions. Or in the words of Robert Anton Wilson:

    Examples The following is a selective overview of generative creation research, experiments and products, across a range of creative tasks / disciplines. Generative Experiments

    1. Generating Flora and Fauna (2015).2. Generating Chairs, Tables and Cars (2015).3. Generative Font Design with Neural Networks (2015).4. Generative Manga Illustration (2015).5. Generating Faces with Manifold Traversal (2015).

    Generative Design

    1. Semantic Shape Editing Using Deform Handles (2015).2. Generative Motorcycle swingarm Design (2015).3. Generative airplane partition design (2015).4. Generative Data-Driven Shoe Midsole Design (2015).5. Generative Jewellery design (2015).

    Generative Text

    1. Generating Stories about Images (2015).2. Generating Sentences from a continuous space (2015).3. Generative Journalism (2010)4. Generating Cooking recipes with Watson (2015).5. Generating Clickbait Web content and site (2015).

    Generative Serendipity

    1. Exploratory Modeling with Collaborative Design (2015).2. Generative Music Score Composition with RNNs (2015).3. Messa di Voce, Generative Theater (2003).4. Generative Image Style Transfer (2015).5. Interactive Neural Net Hallucinations (2015).

    Generative Architecture

    1. Generative Columns Design and Manufacturing (2010).2. Generating House 3d Models with House agents (2012).3. Heydar Aliyev Center (2012).4. Generative Biological inspired form (2015).5. Francis Bitont on 3D printing (2015).

    Generative Design

    1. Generative strategies for welding (2015)2. Generative Car Chaise Design (2016).3. Generative mass customized knitwear (2016)4. Generative mass customized T-shirt and bags (2016)5. Generative Lampshade based on room 3D scan (2015).

    Generative Games

    1. Generative Creation of Universe (2014).2. Texture Synthesis (2015).3. Generative Character Controls (2012).4. Generative Game Map and Characters (2013).5. Generative enemy manager (2010).

    Generative Synesthesia

    1. Synesthesia Mask Lets You Smell Colors (2016).2.Cross-modal Sound Mapping Using ML (2013).3. Expressing Sequence of Images with Sentences (2015).4. Generative Graffiti, adapting to Music (2016).5. Music to 3d Game (2001).

    Conclusion

    Our research journey began with a series of experiments — playfully exploring the space between creativity and A.I. It led to an in-depth investigation into creativity, which reinforced our initial intuition that creativity is a central, evolving force throughout human history. New metaphors such as Augmented Creativity, Computational Creativity and Creative Systems allowed us to approach creativity from new perspectives and explore how it intersects with technology.

    During this journey, we have tried to think about creativity and technology in a structured way. This has allowed us to recognize, analyze and define emerging creation patterns. We focused on two general types: Assisted Creation and Generative Creation. Together, these patterns are leading to a vision we call the democratization and escalation of creativity: A world where creativity is highly accessible, through systems that empower us to create from new perspectives and raise the collective human potential. Through our research, we learned to appreciate creativity as an ever evolving, driving force of humanity and as a wide open frontier for interdisciplinary research and development.

    A primary goal of this research project was to find a set of guiding principles, metaphors and ideas, that inform the development of future theories, experiments, and applications. By combining different domains into one narrative, we formulate a new school, or praxis for creativity: CreativeAI. Its desire is to explore and celebrate creativity. Its goal is to develop systems that raise the human potential. Its belief is that addressing the “what” and “why” is as important as the “how”. Its conviction is that complex ethical questions are not an afterthought, but an opportunity to be creative collectively.

    Finally, CreativeAI is a question, rather than an answer. Its only demand is more collaboration and creativity. It is an invitation for play!

    “The creation of something new is not accomplished by the intellect but by the play instinct acting from inner necessity. The creative mind plays with the objects it loves” — Carl Jung



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