For years in enterprise analytics, the focus was on capability. More data. Faster computing. Stronger models. Organizations have invested heavily in modern data platforms to close the sophistication gap. That gap is largely closed. What hasn’t closed is the execution gap. Platform teams are discovering something: even in highly mature
With SAS Innovate 2026 approaching, it’s a good time to step back and look at what this year’s agenda says about the state of data and AI. As in any year, speakers and presenters will cover a wide range of topics, from platform fundamentals to emerging ideas just entering production.
Adopting an open data lakehouse is like upgrading your data environment from a crowded regional terminal to a modern international airport. Modernizing to that lakehouse is the moment you realize the runways are too short, the control tower is running on outdated radar and half the jetways don’t line up
