The biggest news from this year’s Informatica World, explained by the speakers who were there.
Artificial intelligence is popping up everywhere, from factory floors to hospital rooms to IT departments and more. The use cases are varied, the circumstances are diverse, but every AI tool has one thing in common: a need for data.
There’s plenty of data. Years ago, organizations began building data lakes, waiting for new technologies and tools that would help turn that data into binary gold. Those tools are now here, driven by AI and machine learning (ML), and there’s one big problem: Much of the data is insufficient.