Your enterprise may be sitting on a wealth of data from your legacy operational technology.
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AI models are only as good as the data they’re built on.
The allegations highlight third-party software risks.
The first step is figuring out where AI isn’t necessary.
Plenty of other tech giants have sought to solve the ever-present AI data security problem.
CEO Anne Wojcicki stepped down, but the cofounder remained on the board and says she is trying to buying it back.
The tension between CIOs and CISOs often stems from a misalignment on how decisions should be made.
Setting baselines and goals could help companies be more stringent about which AI projects they pick.
The frenzied speed at which enterprises are adopting the tech amplifies the hazards.
Many enterprises are in a “phase of investigation” with AI deployment.
Data center demand has taken center stage amid the AI boom.
For some tasks, less power might be good enough, an expert said.
Ransomware with stolen data gives attackers multiple opportunities to blackmail enterprises, one expert said.
“There are still going to be things that classical computers are better at.”
“There is no 100% security because software is fundamentally flawed.”
You may get left behind if you delay adoption of AI until its problems are solved, said ServiceNow’s Paul Smith.