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The most valuable AI use cases for business

IBM Big Data Hub

These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. They can also help businesses predict future events and understand why past events occurred. Education In education and training , AI can tailor educational materials to each individual student’s needs.

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The Third Modern Data Management Summit: Making Data Work!

Reltio

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. Reltio was the Diamond sponsor and host of the event.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

It might analyze real-time data from cameras, LiDAR and other sensors to identify objects, assess risks and anticipate environmental changes like sudden weather events or unexpected obstacles. The AGI analyzes the data and identifies a rare genetic mutation linked to a specific disease. What are the types of AGI?

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Managing Digital Security as Risk and Complexity Rise

Thales Cloud Protection & Licensing

Gartner defines digital risk management as “the integrated management of risks associated with digital business components, such as cloud, mobile, social, big data, third-party technology providers, OT and the IoT.” Encryption of data at rest and in motion. Security event logging to identify breaches in progress.

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The profession's biggest problem: diversity

CILIP

An Honorary Professor at Teesside, Liz is a Principal Fellow of the Higher Education Academy and a Fellow both of CILIP and the Royal Society for the encouragement of Arts, Manufactures and Commerce (RSA). Technology can be an opportunity but in an era of big data, ?fake s online presence.

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FTC Workshop on The Internet of Things

Hunton Privacy

In particular, Commissioner Ohlhausen identified three areas of the enhanced risks associated with The Internet of Things: data security, mobile services and Big Data. Many manufacturers of such devices have not established privacy policies, and those that do have policies often fail to follow them.

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