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Eva-Marie Muller-Stuler

Themes
  • Digitalisaatio & Teknologia
  • Digitalisation & Technology
  • Johtaminen
  • Kasvu & Kehittäminen
  • Kreativitet/innovation
  • Luovuus & Innovaatio
  • Yhteiskunta & Tulevaisuus
  • Yrittäjyys
With numerous accomplishments, including being voted as one of the “Top 10 Most Influential Women in Technology” and as “one of the world’s best Data Scientists”, Dr. Eva-Marie Muller-Stuler is a strategically minded CTO and Chief Data Scientist with 23 years’ experience in industry leading organisations. Dr. Eva-Marie is an inspirational speaker and passionate about data science and innovation with a great deal of expertise on how artificial intelligence and data science will influence our civilisation in the near future. She presents her ideas in an entertaining style backed by solid scientific evidence tailored to the clients brief. She has worked across multiple industries including; Oil & Gas, Energy, FMCG, Healthcare and the Financial sectors, which is invaluable in assisting enterprises wanting to leverage A.I, Machine Learning and Data Science. She was previously a Chief Data Scientist at KPMG and led the creation of the KPMG Data Universe and a Director at the consultancy firm Alvarez & Marsal. She is the author and co-author of numerous papers and publications as well as a member of various mathematical societies including Women in Machine Learning. In addition to her work in Data Science Dr. Eva is a serial entrepreneur and inventor. She is a sought-after Advisor to start-ups on strategic and financial planning and management, product development and technology. Eva-Marie actively advises both governments and international bodies, such as the UN, on the risk of AI and its impact on society. She works in collaboration with these bodies on developing a worldwide AI ethics framework. Eva-Marie is also a passionate and avid supporter of women in technology, contributing as a mentor and an ambassador and co-host of Women in Data Science (WiDS) Teemat: How to Make Data Science a Success | Risk of Data Science and AI | Why Diversity Is so Important for AI and Global Governance | Innovation | AI | Women In Tech
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