Is your data shop in order?
“If a data product fails you one time, it's hard to get that trust back. And so you want to evolve your data products on a strategy of keeping and retaining and growing that trust.”
The explosive growth of AI is generating plenty of excitement. But when it comes to data environments, it’s worth remembering that all of the same rules will still apply. Governance, risk monitoring, maintaining clean environments, and building trust in data will only become more important as AI capabilities advance, not less! That’s true from the warehouse to the consumption layer.
At our recent fireside chat, we were fortunate to gain insight on this topic from DJ Patil, the former Chief Data Scientist of the United States.
DJ’s work has supercharged data capabilities at many organizations that have massive impact, from the White House to LinkedIn to the Precision Medicine Initiative. He also helped to coin the term data scientist!
As DJ shared, “If a data product fails you one time, it's hard to get that trust back. And so you want to evolve your data products on a strategy of keeping and retaining and growing that trust.”
