Bo Thiesson

Founder and President of AI at kaunt A/S
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Contact Information
us****@****om
(386) 825-5501
Location
Århus, Middle Jutland, Denmark, DK
Languages
  • English Native or bilingual proficiency
  • Danish Native or bilingual proficiency

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Experience

    • Denmark
    • Software Development
    • 1 - 100 Employee
    • Founder and President of AI
      • Oct 2019 - Present

      Kaunt is an AI Co-pilot for Accounts Payable Coding, offered as-a-service for ERP, AP/P2P, and OCR platforms. Our high-performing AP Coding is driven solely by AI, eliminating the need for manual handling and rules, and utilizing data to predict accurate coding. Experience real-time AP coding and generate new revenue within 24 hours of integrating Kaunt. With a decade of AI expertise, we have proven our technology and business with customers across the public sector, private sector, and listed companies. Our AI services are seamlessly embedded into your stack through our open API. Explore our API documentation at docs.kaunt.com. Show less

    • Denmark
    • Software Development
    • 1 - 100 Employee
    • President of AI
      • Sep 2015 - Present

      At Enversion, our mission is to make healthcare more proactive through intelligent use of the vast amount of existing data. I direct and facilitate the efforts at Enversion to instill trust into our solutions. Trust obviously depends on the accuracy of decisions, but trust in an intelligence – artificial as well as human – is also instilled by the ability to explain a decision and justify the degree of certainty hereof, if challenged. Without a high level of trust, a solution will not be used in practice – a fact that is particularly true within the healthcare domain. Once a need has been established, some of the technical keywords involved in a solution are: Analytics and Machine Learning Deep Learning Explainable AI Relevance propagation Reasoning under uncertainty Responsible for advising, maturing and educating people in the full span from simple statistics and Machine Learning to fully trustworthy and explainable AI based on Deep Learning – both internally at Enversion, as well as externally via Enversion Grow and university relationships. Show less

    • Denmark
    • Research
    • 700 & Above Employee
    • Honorary Professor
      • May 2016 - Present

    • Denmark
    • Research Services
    • 700 & Above Employee
    • Associate Professor
      • Jan 2013 - Aug 2017

      Responsible for lecturing master students in various courses in Machine Learning and Web Intelligence as well as supervising more than 35 students conducting their master thesis on a variety of AI and Machine Learning topics. Primarily Deep Learning techniques applied in the healthcare domain and various applications in financial accounting. Some have touched on Natural Language Processing. Others have even ventured into Brain Computer Interfaces applying graphical model techniques and Riemannian Geometry to analyze EEG. Participated in a project about detecting flexibility in device-level energy consumption with the goal of better (or greener) utilization of energy, e.g. TotalFlex. Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Artificial Intelligence Researcher
      • 2000 - Dec 2012

      Responsible for state-of-the-art research in AI and Machine Learning with technology transfers into numerous products that have shipped from Microsoft like e.g.: • Microsoft SQL Server 2005, 2008• Microsoft Power BI• Windows Vista, Windows XP• Windows Phone 6, 6.5, 7• Microsoft Excel 2007• Microsoft Commerce Server 2002• Microsoft AdCenter Keyword Service PlatformBeen part of an internal AI/ML initiative around securing confidential information.Achievements:• I’ve been inventor of over 40 issued patents• Received two Gold Star Awards: for work on large-scale learning for mixtures of Bayesian networks and for work on handwriting recognition and user personalization• Contributed to Microsoft’s Academic Relationships with a numerous papers in premier AI and Machine Learning journals and conference proceedings (JMLR, Machine Learning, Bayesian Statistics, KDD, UAI, NIPS, AI&Statistics, ECCV, SIGIR, UIST, HCI), served in numerous program committees and been mentor to +10 Ph.D. internships, giving the opportunity for outstanding Ph.D. students to apply research and theory to practice at Microsoft Research. Show less

    • Software Design Engineer
      • 1996 - 2000

    • Denmark
    • Research Services
    • 700 & Above Employee
    • Scientist
      • 1995 - 1996

    • Research Assistant
      • 1991 - 1995

Education

  • Aalborg University
    Doctor of Philosophy (Ph.D.), Statistics
  • Stanford University
    Visiting Scholar, Statistics
    1992 - 1993
  • Aalborg University
    Master of Science (M.Sc.), Computer Science
  • Aalborg University
    Bachelor of Science (B.Sc.), Computer Science
  • Aalborg University
    Bachelor of Science (B.Sc.), Mathematics

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