Data Fabric Meets AI, The Trust Layer Most Teams Skip скачать в хорошем качестве

Data Fabric Meets AI, The Trust Layer Most Teams Skip

Here is what is at stake Most teams are trying to scale AI while the foundation is still shifting. The result is predictable, impressive demos, uneven outcomes, and a lingering question from stakeholders, “Can we trust this?” In this episode, we get specific about what has to be true for AI to become reliable in real workflows. Here is how to think about it Trust is not a vibe, it is an architecture. Dave walks through the stack that turns AI from novelty into utility, integrated and clean data, lineage and context, a catalog people actually use, a semantic layer that maps to how the business thinks, then agents on top. Along the way, we unpack how open source fuels innovation, and why commercialization often decides whether the tooling is truly usable at scale. Here is what you will walk away with A clear hiring lens for modern teams, why comb shaped talent matters, plus a pragmatic approach to filling gaps with partners while still leveling up your internal bench A decision filter for AI projects based on whether your data is fit for purpose, and what happens when access and curation are left to end users A practical adoption lesson that has nothing to do with hype, small changes to the human experience can be the difference between 40 percent usage and 90 percent usage Quick chapter markers 00:56 The comb shaped talent model 05:36 Hiring for fit, training for skills, using partners strategically 07:37 Open source innovation, enterprise readiness, and commercialization 11:31 From summarization to autonomous actions, what comes next 13:39 Trust starts with data integrity and context 19:26 The human factor that decides adoption Subscribe If you want more conversations like this, practical, technical, and focused on what actually works, subscribe and keep an eye out for the next episode. #data #analytics #cdo #leadership #ai