Lars Hamberg

Lars Hamberg is a founder of several game-changer businesses and is CEO and co-founder of Gavagai, a Swedish company with world-leading research in Artificial Intelligence. Lars is a frequent speaker on New Thinking and Innovation in Financial Services in various forums and has over 20 years’ experience having held senior positions within UBS and ABN AMRO, including head of research. His academic record includes language studies, a LLM degree from Stockholm University and PhD studies at LTU. Lars has written a book on counter-party risk in OTC-derivatives trading, he has been arbiter at the SCC Arbitration Institute and after the Icelandic crisis he was responsible for restructuring Glitnir AB, as CEO.

Lars expertise includes New Thinking, Artificial Intelligence and Innovation in Financial Services Industry and in Banking: Digital Transformation, Predictive Analytics, Big Data, Distribution Models, New Technology, FinTech and Executive AI Strategies.

Key Topics

Expertise: Lars Hamberg domain of expertise is New Business Trends, New Thinking and Innovation in Financial Services Industry and in Banking: Digital Transformation, Predictive Analytics, Big Data, Distribution Models, New Technology & FinTech

• Artificial Intelligence
• Executive AI Strategies
• AI-driven Customer Insight

Speaker/Keynote speaker at major industry events, such as DASH, ETF & Indexing World London, IndexUniverse Amsterdam, QuantWorld Chicago, TradeTechAsia Singapore, KTH Royal Institute of Technology’s Big Data AIM Stockholm, Middle East Investment Summit 2015 Dubai, Fund Forum Asia 2015 Hong Kong, Smart Data 2015 San Jose, Big Data World 2015 Dubai, ITAS 2015 Hong Kong, FSM 2015 Hong Kong, FundForum Middle East 2015 Dubai, Big Data in Banking 2015 New York + corporate gigs, such as Nasdaq, Deutsche Bank, Blackrock (only external speaker at internal mgmt meeting).

Tags: financial services, banking, innovation, fintech, big data, bigdata, analytics, smart data, data analytics, digitization, digitalization, predictive analytics, sentiment analysis, asset management, distribution, retail, trading, technology, wealth, asset management, investment industry, robo advisory, social investing, behavior, profiling, client segmentation, alias matching, text analysis, language technology, semantic memory models, unstructured data, machine learning, pattern recognition, risk concepts, etf, efts, investment strategy, business.