When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.
Why sovereignty over data and models is becoming a defining factor in enterprise AI success,as well as a prerequisite for forging safe agentic systems. In partnership withEnterpriseDB When generative ...
Artificial intelligence can be a godsend in collecting and analyzing data at commercial real estate firms. It can also jeopardize the security of that very data. Solving that conundrum is becoming ...
This article is authored by Ish Thukral, head, APAC, Neo4j.
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