Miryam Chen·3d agoThe Data Layer: Making Data and Documents AI-ReadyPart III, Article 6 of 14 — a series on the context layer: what it is, how it works, and why AI needs one.
Miryam Chen·Nov 1Why AI Gets Your Numbers WrongPart I, Article 1 of 13 — a series on the context layer: what it is, how it works, and why AI needs one.
Akshay Bardia·Oct 16What a board should ask before funding AIThe questions that separate a governed AI investment from a set of enthusiastic experiments.
SanthoshKumar Murru·Sep 12Beyond the Agent: The Architecture Behind Reliable AI Applications.What it really takes to build a reliable AI application — from business requirements and data foundations to infrastructure, governance and…A response icon1A response icon1
Ravi Patel·Aug 24From Raw Lemons to Trusted Lemonade: The Data Product StoryOnce upon a time, there was a boy named Mike who loved making lemonade.A response icon2A response icon2
InValconbyValcon Consulting·Jun 26AI transformation: from ambition to value creation (part 1)By Thomas Rosenlund, Morten Ib Ingstrup and Koko Visser
Sigmoid·Jun 16Transforming commercial intelligence into action with AI-native RGMConsumer goods companies have never had more commercial intelligence at their disposal. Pricing teams can measure elasticity at the SKU…
John Apathy·May 15DataJoint and the Agentic Science RevolutionBuilding the Infrastructure of Accountability in Pharma R&D
