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VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD AI capabilities and development needs in companies FIIF Jam Session ’Artificial Intelligence’ 29.3. 2017 Dr. Heli Helaakoski, Principal Scientist, VTT 29/03/2017 2 Artificial Intelligence definition? “Artificial intelligence is that activity devoted to making machines intelligent, and intelligence is that quality that enables an entity to function appropriately and with foresight in its environment.” “Artificial intelligence is technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogs with people, enhancing human cognitive performance (also known as cognitive computing) or replacing people on execution of nonroutine tasks.” [1] Nils J. Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achievements (Cambridge, UK: Cambridge University Press, 2010). [2] Gartner Ai definition 29/03/2017 3 Hot areas of AI research Technologies • Computer vision • Audio processing SENSE AI COMPREHEND ACT 29/03/2017 Solutions • • • • • • • • Deep learning Natural Language Processing Collaborative systems Crowdsourcing and human computation Internet of Things (IoT) Robotics Large-scale machine learning Reinforcement learning Virtual agents Identity analytics Cognitive robotics Recommendation systems Data visualisation 4 29/03/2017 TechRadarTM: Artificial Intelligence Technologies; Q1 ’17 5 29/03/2017 6 AI at companies AI solutions = Data + Tools + Application Application framework AI + application Autonumous machines in industry sites Self parking cars Drones with vision 29/03/2017 Tool framework First shown up in academic research, business find the way to apply these to specific problems Deep learning, recommendation methods, neural networks 7 Cabilities needed when developing AI solutions End users IT experts Business/domain experts AI experts 29/03/2017 8 AI R&D strategy #1 Make long-term investments in AI research. #2 Develop effective methods for human-AI collaboration. #3 Understand and address the ethical, legal, and societal implications of AI. #4 Ensure the safety and security of AI systems. #5 Develop shared public datasets and environments for AI training and testing. #6 Measure and evaluate AI technologies through standards and benchmarks. #7 Better understand the national AI R&D workforce needs. [3] THE NATIONAL ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT STRATEGIC PLAN, U.S. Government, Office of Science and Technology Policy, October 2016, USA 29/03/2017 9 How we can help you ? Application in mind ? Bottleneck in process or production ? Interested in AI technologies ? Looking for AI possibilities in business ? Welcome to discuss with us at round table Tekoäly koneissa, 6.4.2017 kello 12.00-16.00 Tampere http://www.vtt.fi/palvelut/palvelut-pk-yrityksille/pkprojektilähdöt/tekoäly-koneissa 29/03/2017 10 Contact information Heli Helaakoski VTT [email protected] GSM 040 510 8619 29/03/2017 11 TECHNOLOGY FOR BUSINESS