Moving past the toddler stage w AI in data governance & security feat. Steve Orrin & Brandon Daniels

Are we meeting the promise of AI in cybersecurity that can be predictive and prescriptive? Do we fail to appreciate the value of "data wranglers" involved in data curation and governance? What keeps our experts up at night?

In this episode of IBM thinkLeaders podcast, we are joined by guests Steve Orrin (Federal CTO for Intel Corporation)& Brandon Daniels (Exiger’s President of Global Technology Markets). We talk to Steve and Brandon about how we can move past the toddler stage with AI in cybersecurity, data valuation versus monetization, and organizations shouldn't assume they can just sprinkle on some "AI pixie dust."

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“Where I think the real promise is, and again, this is the promise we're not there yet, is when we start to use AI to get beyond the, when I called diagnostic, what happened? What's that thing over there to more predictive and prescriptive when we can use AI machine learning to tell me not what's currently going on, because we do need to do that, but what's going to happen or why is certain things happening the way they are and get into that mode of where I can leverage this new technology, new tool to get ahead of the curve. “ -Steve Orrin, Federal CTO for Intel Corporation

“[I]n the context of...artificial intelligence in cybersecurity data governance is almost that primary foundational building block upon which AI can run. We have in many cases skipped steps one through five and gone straight to step six and tried to apply artificial intelligence without the data being available to recreate the decision making that a human otherwise would if they had limitless time and limitless capacity, which is really the promise of AI.” -Brandon Daniels, Exiger’s President of Global Technology Markets