CO-CREATIVE INTELLIGENCE MITÄ IHMETTÄ SE MERKITSEE? Pauli Kuosmanen CTO DIGILE

Transcription

1 CO-CREATIVE INTELLIGENCE MITÄ IHMETTÄ SE MERKITSEE? Pauli Kuosmanen CTO DIGILE

2 Next Media Services program Internet of Things From Data to Intelligence Cloud Software STRATEGIC COMPETENCE FOCUS DEVELOPMENT Digital services in Internet economy Digital media Service design Big and open 2 data Internet of things Cloud computing Co-creative intelligence State of the art Computational and human intelligence & innovation with business development Telecom including mobile communication competences and business Challenger Computational including cloud computing and big data competences and business 1. From old paradigm to digital service paradigm ( ) 2. Accelerated business growth! (2012 ) 3. Definition of the new paradigm as one of the leaders! ( ) 2

3 Internet economy structure DIGILE RESEARCH PROGRAM PORTFOLIO 2Q/2015 Need for Speed (2/4) Mercury business F-Secure Speedy recovery (1/4) Seamless Healthcare GE + Local Tapiola Digital Services (4/4) Web of services Nokia Data to Intelligence (4/4) Acting on data Tieto Cyber Trust (1/4) Internet of Things (4/4) Trust infrastructure Internet everywhere EB Ericsson Networks Building blocks Services and solutions Business models Ecosystems New Paradigms 3

4 Internet economy structure DIGILE RESEARCH PROGRAM PORTFOLIO 2Q/2016 Innovation Automation Augmented Human Need for Speed (3/4) Mercury business F-Secure Speedy recovery (2/4) Seamless Healthcare GE + Local Tapiola Healthy urban living (1/4) Resilient City?? Service Co-creation (1/4) Co-creative computing?? Cyber Trust (2/4) Trust infrastructure EB Networks Building blocks Services and solutions Business models Ecosystems New Paradigms

5 CONTENT Ongoing funding activities N4S Cyber Trust Starting activities (Tampere leading) Visual and Decision Informatics (With NSF USA) New paradigm: Co-Creative Intelligence

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8 ROUTE TOWARDS CONTINUOUS DEPLOYMENT IS JUST THE BEGINNING Fast Cycle time CI CD IID Iterative and Incremental Development 1960-> Agile Individuals and interactions over processes and tools. Working software over comprehensive documentation. Customer collaboration over contract negotiation. Responding to change over following a plan > Continuous Integration In RD, merging all developer workspaces with a shared mainline several times a day. It was first named and proposed as part of extreme programming (XP) > Continuous Deployment In company level, software developed to a high standard and easily packaged and deployed to test environments, resulting in the ability to rapidly, reliably and repeatedly push out enhancements and bug fixes to customers at low risk and with minimal manual overhead > Integration level in the Company Vast

9 Cycle time Fast PARADIGM CHANGE REAL-TIME VALUE DELIVERY Real-time IID Agile CI CD Real-time Value Delivery Provide the technical infrastructure and capabilities to allow organizations to deliver new features and new minimum viable products and services significantly faster Deep Customer Insight Significantly improved business hit-rate by linking deep customer insight to the development. Systematic use of real-time feedback, market trends and behavior, analytics & visualization technologies. Develop a tool-based infrastructure for continuous experimentation and live customer feedback Mercury Business Defining and implementing active and continuous strategy and business models in pursuit of new emergent opportunities. Active portfolio and corporate business strategy management, continuous creation of strategic options, fast decision making. Redefinition of competences and capabilities how to move to business areas not currently company s core business. Integration level in the Company Vast

10 WORK PACKAGE STRUCTURE WP1: Delivering Value in Real Time Jari Partanen, Elektrobit WP2: Deep Customer Insight Joonas Lyytinen, Reaktor WP3: Mercury Business Ilona Nevalainen, Ericsson WP0: Program Coordination Tua Huomo, VTT WP4: Dissemination, Deployment & International Collaboration Ari Turunen, SA 10 10

11 NUMERICAL PLAN Budget plan TOTAL Industry Research TOTAL Partner plan Industry SME Research TOTAL

12 Cyber Trust

13 SRA VISION Finland will be a globally recognized hub for trusted and trust enhancing digital services based on top level cyber security solutions and services actively developed and maintained in international cooperation by leading experts and companies

14 PARADIGM CHANGE Cyber security as an Enabler rather than a barrier for trust Proactive model for security through enhanced design Gain new business through solid cooperation with stakeholders

15 RESEARCH THEMES Theme 1: Security technology Security technologies are technical means for fulfilling the recognized security requirements of the system, and for building resilient systems with dependable hardware and software that can also meet future security challenges Security technologies enable the technical protection of infrastructure, platforms, devices, services, and data The expected research results in this area include design patterns for secure system architectures, protocols and implementation as well as tools and platforms for secure system development and deployment Focus areas: Securing new network infrastructures Embedded, mobile and ubiquitous platform security Identification and privacy protection

16 RESEARCH THEMES Theme 2: Security management and governance The goal of this theme is to enable organizations to address both human and organizational aspects of information security These aspects include for example: Change of mentality (or culture) towards information security among all stakeholders, and especially in management level Provide methods and tools to understand and assist information security investments Focus areas: Security policy development and implementation Information security investment, incentives, and trade-offs

17 RESEARCH THEMES Theme 3: Situation awareness Cyber situation awareness is a key factor to prevent, identify and protect from the cyber incidents In a proactive operating mode, we seek to find the vulnerabilities before the attacker The target of the focus areas lie in understanding of the prevailing situation in networks, such as: unwanted data transfers anomaly detection for identifying and protecting against APTs and the development of early warning framework to count real time threat s risk probabilities and to enable sophisticated nation-wide defense against security breaches and threats Focus areas: Observations Analysis Visualization

18 RESEARCH THEMES Theme 4: Resiliency Resilience is about adapting to changing conditions, in the case of information security, based on run-time situation awareness and a prior risk analysis Novel resiliency techniques are needed to protect critical systems from APTs. Initially, six potential component techniques were identified: active and passive countermeasures managing the explosion of traffic techniques to improve resiliency of industrial control systems self-protection recovery dynamic policies that automatically ramp up security protections Focus areas: Active and passive countermeasures Unwanted content Improved resiliency of industrial control systems Self-protection and -healing

19 PROGRAM STRUCTURE Focus Area Director: Markku Korkiakoski, Elektrobit Academic Coordinator: Juha Röning, University of Oulu Program Coordinator: Tapio Frantti, University of Oulu WP1: Secure Services WP lead: Markus Sihvonen, MPY Academic coordinator: Martti Lehto, University of Jyväskylä WP4: Advanced Threats and Security Assurance WP lead: Alexey Kirichenko, F-Secure Academic Coordinator: Ville Leppänen, University of Turku WP5: H2020 Project and Co-operation Preparations WP lead: Jani Kaarlejärvi, Digile WP2: Secure Platforms WP lead: Raino Lintulampi, Elektrobit Academic Coordinator: Billy Brumley, Tampere University of Technology WP3: Security in New Network Technologies WP lead: Bengt Sahlin, Ericsson Academic Coordinator: Tuomas Aura, Aalto

20 NUMERICAL PLAN Budget plan Phase 1 Phase 2 Phase 3 Phase 4 TOTAL Industry Research TOTAL

21 Visual and Decision Informatics (With NSF USA)

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24 Co-Creative Intelligence

25 INTELLIGENCE Intelligence is the ability to learn about to learn from to understand about, and to interact with one s environment Intelligence is the faculty of understanding

26 HISTORY OF INTELLIGENCE Human intelligence - Developing - Slow improvements Human intelligence - Developing - Slow improvements Human intelligence - Developed - Slow improvements Crowd intelligence - Developing Machine intelligence - Raw - Slow improvements Machine intelligence - Developing - Slow improvements Now Time 26

27 FUTURE OF INTELLIGENCE Co-Creative Intelligence Human intelligence - Developed - Slow improvements Crowd intelligence - Developing Machine intelligence - Developing with high speed Co-Creative Intelligence Human intelligence - Developed - Slow improvements Crowd intelligence - Developed - Slow improvements Machine intelligence - Developing with extreme speed Now 2040?? Strong artificial intelligence - Developing with noncontrollable speed Time 27

28 ROLE OF MACHINE Tool Assistant Collaborator? Potential: huge Fear: overlord Design goal: moral entity

29 CO-CREATIVE INTELLIGENCE Mixture of intelligence categories in one way or other Dominant category of intelligence in the next 10- years DIGILE s question: What are the needed competencies to build growth and new jobs based on this development 29

30 CO-CREATIVE INTELLIGENCE Co-Creative Intelligence is about accessing the best intelligences of two worlds: Machines for speed and productivity Human For emotional intelligence, intuition, creativity, and handling-the-unknown

31 Value delivery BETTER TOGETHER Comp + human Comp alone Time

32 RELEVANT TECHONOGIES INCLUDE Artificial intelligence Machine learning Deep learning Cognitive computing Neuroscience Human-computer interaction Future computing platforms

33 Human Machine Humans and machines will work together to produce better results Each bringing their own superior skills to the partnership The machines will be more rational more analytic encyclopedic memories tremendous computational abilities understanding human behaviours, intents, and needs better People will provide judgment and morality intuition empathy human creativity sense of togetherness

34 MAIN RESEARCH QUESTIONS How to create optimal complementarity and efficiency in human-human and human-machine collaboration? What are the best combinations, markers and enablers of fruitful human and machine potential? What enabling technologies are needed for addressing the question?

35 MORE INFORMATION

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