As data from the Internet of Things is emerging and changing the data landscape as we know it, a new set of challenges are rising. IoT devices that generate megabytes or gigabytes of data per second are stunning organizations. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository.
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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 What's more pertinent; however, is the root of the problem: outdated systems which organizations use to track and understand where their data lives.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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Blockchain is a new database technology and it is poised to have a big impact in a diverse array of industries. To shed light on critical blockchain issues and concerns and to provide attendees with a firm grasp of fundamental blockchain concepts, Data Summit 2018 will present a 3-hour blockchain workshop led by Paul Tatro, founder of Blockchain U Online, and author of "Blockchain Unchained: The Illustrated Guide to Understanding Blockchain."
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