GDPR goes into effect today. Rex Ahlstrom, chief strategy and technology officer at BackOffice Associates, a provider of information governance and data stewardship solutions, discussed what's at stake.
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Organizations worldwide are grappling with the requirements of the European Union's General Data Protection Regulation (GDPR) and it's no secret that finding ways to remain compliant has become one of the most visible challenges, and one that has dominated the conversation. What's more pertinent; however, is the root of the problem: outdated systems which organizations use to track and understand where their data lives. This has grown more difficult day-by-day, as the amount of data collected by organizations grows exponentially. GDPR is a good forcing function to spur them to dig into this problem before it gets worse.
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Neural networks and deep learning are frequently recognized as the key to futuristic innovations like facial recognition, with consumers paying up for the novelty of using their visage to unlock their phones, and police squads partnering with AI startups to catch criminals. But the use cases for neural nets extend well beyond those flashy scenarios, and innovations in hardware are enhancing accessibility, signaling that it's time for more companies to find appropriate business cases for their industry.
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Paul Sonderegger, senior data strategist, Oracle, looked at the way data technologies are evolving to help organizations extract more value from the wealth of data being collected during a keynote at Data Summit 2018.
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