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SUMMARY:AI You Can Bet Your Business On: How Mars' Context-Lake Builds the
  Trust Bridge Between People and AI - van Balkom\, Patrick
DTSTART;TZID=Europe/Amsterdam:20260911T145500
DTEND;TZID=Europe/Amsterdam:20260911T152500
DTSTAMP:20260911T153628Z
UID:pretalx-pydata-amsterdam2026-CFNEQT@pretalx.com
DESCRIPTION:Can you truly bet your business on AI? For most\, the answer i
 s no. LLMs excel at stand-alone tasks\, but their "black-box" guessing is 
 a liability for core processes. Our experience at Mars proved this: in a c
 omplex supply chain\, 98% accuracy per step still leads to systemic failur
 e. This creates a conflict where employees don't want an AI that guesses\,
  they need an AI that knows by learning from their expertise.\n\nThis talk
  reveals the architectural shift required to create AI you can bet your bu
 siness on. We introduce the "Context-Lake\," our innovative architecture\,
  demonstrated through a Mars case study\, that builds a "Trust Bridge" bet
 ween people and machines. By capturing explicit business logic in a knowle
 dge graph\, we move beyond the limits of RAG. This approach de-risks enter
 prise AI \, transforming it from a probabilistic liability into a determin
 istic asset that enhances employee collaboration and delivers reliable out
 comes (opens the black box and kills halucinations).\n\n\nIntended Audienc
 e an key takeaway:\n\nFor leaders: wonder why AI is so hard to embrace in 
 business while it is so successful for consumers?  most AI is actually gre
 at guesswork - this is not the language most large businesses  speak. By m
 oving AI form a black box to a glass box and putting your company context 
 into a glass box too\, you can eliminate the fear factor of "what if it gu
 esses wrong" thus AI progress becomes as intuitive and symbiotic as google
  maps. \nA framework to articulate the business-impact limitations of LLMs
  to senior leadership.\n\nEnterprise Architects: a key peace to unlock AI 
 is the new concept of a contextlake. A place where company context is stor
 ed\, validated by employees and readable by AI. With AI maintenance the on
 ce complex graphical database can do this job for you.\n\ncompany AI devel
 opers: Agents do not just feed on data and context windows they need to be
  connected to the context of the company. This is what a graphical databas
 e can do for you with the right ontology. It also avoids hallucination and
  ensures that in the big context of a big company the right answer is foun
 d for the right employee.\n\nproject managers: the real business value of 
 AI is not taking over a task by beating the employees at their own game bu
 t by mutual development where AI learns from the human and the human from 
 the AI. This builds trust\, efficiency and a lasting insight on how to be 
 successful.\nAlso practical first steps to get there are shared.
LOCATION:Anomaly
URL:https://pretalx.com/pydata-amsterdam2026/talk/CFNEQT/
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