Christian Guttmann
Affiliated to research
About me
Christian was recently named Top 100 Global AI leader by DKA. And he is Professor (Adj. Assoc., UNSW).
Follow Christian's Linkedin and Twitter to be updated on the latest news regarding Artificial Intelligence, Machine Learning, Natural Language Understanding, and AI Ethics.
My Schedule for Invited Speaker and Panel Engagements 2020
Royal Society of Medicine, London - February 24 Digital Web Seeds "Extreme", Svalbard, Norway - June 25 Almedalen Week, Sweden - July 1 The Responsible AI Forum, Technical University Munich, Germany - November 4Previous Schedule and Invited Speaker (Selected)
AI Business Summit, Sweden - January 30 IoT Think Tank, Spain - February 25 Partner Summit, Spain - February 26 Mobile World Congress, Spain - February 27 Tieto Pune, Mumbai and Pune, India, March 11 - 15 Stockholm Talent Summit, Sweden, March 21 CCEA Change, Finland, March 21 Uludag Economic Summit, Turkey, March 23 Nordic Business Insight Group, Finland, May 7 Rise of AI, Berlin, May 14 - 16 Oct 2018 "Machine Intelligence in Marketing and Education", Amsterdam, Netherlands Oct 2018 "From Robotic Process Automation to Machine Intelligence", Berlin, Germany Oct 2018 "AI AND BUSINESS – WHAT DOES THE FUTURE OF WORK LOOK LIKE?", Hanaholmen, Espoo, Finland May 2018 "AI is here to stay", Umeå, Sweden Mar 2018 "The influence of Artificial Intelligence and Machine Learning in Digital Health", Australian Health Week, Australia Feb 2018 "MBA Executive Course: The role of Artificial Intelligence in Disruptive Businesses" Vlerick School of Economics, Brussels Jan 2018 "How will artificial intelligence influence future healthcare", Symposium on Cardiovascular disease in a broad perspective, Sweden Dec 2017 "Bättre beslut och effektivare verksamhet genom automatisering och artificiell intelligens", DigiGov, Sweden Nov 2017 "Artificial Intelligence: Will it transform Diabetes?", National diabetes meeting, Sweden Nov 2017 "AI and Machine Learning in Context", Executive Strategy Series, Sweden Sep 2017 "Nordic Perspective on Artificial Intelligence", French Embassy, Sweden Sep 2017 "Artificial Intelligence in Diabetes Care", Health Care Strategies for Value Creation, Sweden Sep 2017 "How Artificial Intelligence Transforms Health Care and Medicine", 23rd Mayo-KI Annual Scientific Research Meeting, Sweden Jul 2017 "Fight Amongst the Giants! AI versus AI.", SUNDOWN AI Conference, USA Apr 2017 "How is Artificial Intelligence shaping the Future of Health", With the Best of Artificial Intelligence, USA May 2017 "Advancements in Artificial Intelligence", Digital Health Conference, CEBIT, Sydney, Australia Apr 2017 "Digital Health -- Big Data and IOT in Health", Upgraded Festival, Helsinki, Finland May 2017 "Artificial Intelligence within Health - a data driven revolution", Stockholm Science City Foundation, Stockholm, Sweden Mar 2017 "HealthiHabits - Nordic Digital Therapeutics", CHaSE Health And Science Exposition, Stockholm, Sweden Feb 2017 "From scientific idea to company", KI Career Profile, Karolinska Institutet, Stockholm, Sweden Jan 2017 "Artificial Intelligence and Health", Stockholm AI group, SwedenCurrent Organising and Program committee (Selected)
International Joint Conference on Artificial Intelligence IJCAI 2020, Australia International Joint Conference on Artificial Intelligence IJCAI 2018, Sweden (and IJCAI 2017 in Australia) International Joint Workshops on Artificial Intelligence in Health 2018, Sweden ECIS - Advances in Health Care Innovation Technologies in Portugal 2017, and in England 2018Adj. Assoc. Professor Christian Guttmann (UNSW) has a deep interest and expertise in Artificial Intelligence, Machine Learning, Data Science, Big Data and Analytics in Health and Medicine. He is an entrepreneurially driven and experienced technology leader with strong research and communication skills. With the British Telecom, IBM, Hewlett Packard, successful startups and university projects, he led innovation teams using artificial intelligence, data science, machine learning, social/mobile/IoT technology in health and medicine. He creates high-impact systems, patents and scientific publications, and is in international steering and program committees of leading conferences in Artificial Intelligence. He enjoys working in great teams and partnerships.
Interested in knowing more about artificial intelligence, machine learning, big data and analytics in digital health and medicine? Interested in supervision at a master or doctoral level?Contact christian.guttmann@ki.se and guttmann.public@gmail.com.
Relevant Experience (Selected)
2018 - VP, Global Head of Artificial Intelligence, Chief AI and Data Officer, TietoEVRY, Stockholm, Sweden 2016 - Executive Founding Director of the Nordic Artificial Intelligence Institute, Stockholm, Sweden 2014 - Professor (Adj. Associate), University of New South Wales, Australia 2014 - Ank. Forskare, Karolinska Institutet, Stockholm, Sweden 2016 - CEO/Founder, HealthiHabits (Artificial Intelligence), Stockholm, Sweden 2014 - 2016 Senior Analyst och Project Lead, IVBAR, Stockholm, Sweden 2012 - 2014 Area Lead in Health Care Analytics, IBM Research, Australia 2010 - 2012 Senior Researcher and Theme Leader iCare, Etisalat British Telecom Innovation Centre, UAEPrior to these engagement, Dr. Guttmann worked in many advanced AI, Data Science and Machine Learning projects at leading global companies and universities.
Research description
Deep interest and experience in basic and applied investigations in digital health and medicine, including
Artificial Intelligence, Machine Learning, Advanced and Predictive Analytics, Big Data, Data Science Social, Mobile and Wearable Technologies Digital Health, Health Technology, Medtech and Biotech Value Based Care Models, Integrated Care and Chronic Desease Management20 years of dedicated scientific and industrial leadership in Artificial Intelligence, Health and Medicine.
Teaching portfolio
Feb 2020 Vlerick Business School, Belgium Feb 2019 Vlerick Business School, Belgium Apr 2018 "How Artificial Intelligence and Machine Learning Disrupts Businesses", Stockholm School of Economics, Stockholm Nov 2016 EDX course on "Big Data and Analytics in Health", Karolinska Institutet, Stockholm, Sweden
Education
2003 - 2008 PhD in Distributed Artificial Intelligence (Monash University, Australia) 1998 - 2001 Master of Science (Royal Institutet of Technology, Sweden) 1996 - 2001 Diplom Informatiker (University Paderborn, Germany) 1998 - 2001 Bachelor (Psychology) (Stockholm University, Sweden)