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Knowledge Graph adoption in the Enterprise - Executive RoundTable

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Categories covered by this talk

About this talk

Key Topics:

  • Panel 1: Business Adoption Panel Topics:
    • Cognition & Mandate - speaking the right language
    • Eliminating Technical Debt - how to make the transition
    • Business Proposition and Culture - overcoming organizational obstacles
  • Panel 2: Implementation Panel Topics:
    • Essential Capabilities - organizational, technical, data
    • Use Cases - where to start?
    • Center of Excellence - skillsets and learning curve


  • Business executives
  • Technical Leaders


  • Understand the KG domain and business possibilities
  • Knowledge sharing of lessons learned and challenges within different types of enterprise
  • Bridge the gap between engineers and builders and the business users


  • 2 hours.


  • Workshops have a moderator / organizer, a number of invited experts, and a limited number of attendees
  • Structure is two panels with audience interaction, breakouts with experts and networking

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Katariina Kari

Katariina Kari (née Nyberg) is a data engineer at Zalando. Katariina holds a Master in Science and Master in Music and is specialised in semantic web and guiding the art business to the digital age.

Bethany Sehon

Bethany leads a team of product managers, ontologists, data scientists, and data analysts who are responsible for maturing Capital One’s data management Ontology and Semantics capability.

Teresa Tung

Inventor | Engineer | Cloud & Data Architect

Laurent Alquier

Dr Laurent Alquier is currently Manager in the Emerging Technologies Partnership team in Johnson & Johnson Technology Services.

Thomas Deely

Thomas leads initiatives in Emerging Tech, Education with an emphasis on Curation, Orchestration, Strategy & Content Design, Business Model Development, Partnerships, & Community Building.

Ben Gardner

Ben is a solution architect at AstraZeneca where he is responsible for the application of graph technology in support of knowledge management. He is focused on enabling FAIR data of both structured and unstructured data sources to enable data science and clinical study design.

Steven Gustafson Ph.D

Steven Gustafson is a technology executive and scientist with deep expertise in artificial intelligence, data science, industrial applications and leadership. He excels at architecting and building innovative solutions, and is passionate about the intersection of blockchain and AI in industry, and helping organizations optimize their decisions using data, analytics and AI. He has 10+ awarded patents, over 50 peer reviewed articles, and 4 edited volumes. Dr. Gustafson is the CTO at Noonum, a FinTech startup that delivers insights on companies and markets using advances in NLP and AI. He was formerly the Chief Scientist at a software platform startup, developing their AI strategy, building data science and research teams, and deploying several AI services in the product, including AutoML (with top-AI publications) and NLP (granted patent). Dr. Gustafson also led the Knowledge Discovery Lab at the GE Global Research Center: large-scale data, semantic technology and machine learning. He received his PhD in computer science from the University of Nottingham, UK, where he was a research fellow in the Automated Scheduling, Optimisation and Planning Research Group. He received his BS and MS in computer science from Kansas State University, where he was a research assistant in the Knowledge Discovery in Databases Laboratory. He has served on many program committees (GECCO, PPSN, EuroGP, CEC, etc), a reviewer for many journals, and a member of the editorial boards of the Journal of Genetic Programming and Evolvable Machines, the Journal of Applied Soft Computing, and the Neural Computing and Applications journal. Dr. Gustafson is also a founder and Technical Editor-in-Chief of the journal Memetic Computing. In 2006, he received the IEEE Intelligent System's “AI’s 10 to Watch” award. He has chaired several conferences (European Conference on Genetic Programming and Real-World Applications at Genetic and Evolutionary Computation Conference) and workshops (Graduate Student Workshop, Symbolic Regression and Modeling Workshop at the Genetic and Evolutionary Computation Conference).

Tom Plasterer

Tom Plasterer, PhD, Director, Oncology Translational Medicine, AstraZeneca

Natasa Varytimou

Natasa works in UBS as a Data Architect for the Helix Knowledge Graph. She is highly experienced in utilizing Semantic Technologies to create innovative data and model-driven architectures focusing lately on the Financial sector

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