Confluent’s Sean Falconer explains why embedding engineers with customers isn't enough – and what's needed to get AI into production reliably.
Posts published in “Data”
An opinion piece by Schneider Electric's SVP of One Solutions Operations Europe and Global Governance
Gary Kotovets dives into dirty data, agent swamps and synthetic data. Will there be a D-U-N-S Number for AI agents?
An opinion piece by the vice president of product marketing at Denodo
FlexMoRE could enable mixing and matching of language- and domain-specific AI experts without the sharing of underlying data.
Group Deputy CIO Jitania Kandhari explains the framework investors can use to identify AI opportunities across the technology stack.