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Contributed on September 22, 2019

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Machine Learning Made More Accessible To make machine learning more accessible to companies, Oracle is assembling a range of tools that different businesspeople—including managers, analysts, data scientists, developers, and IT staff—can put to work, says Oracle’s Chuck Hollis. For example, machine learning built into databases and applications can help IT managers predict the health of computer equipment and identify malicious code. Five other job types that could benefit.

Mitsubishi Electric’s Integrated IoT Using Oracle Cloud Platform “allowed us to make sense of all this machine data,” says Mitsubishi Electric’s Timothy Lomax. The company has increased uptime, boosted production, and reduced manual processes—all while decreasing floor space. The biggest gain?

Why Embed AI into Apps Oracle CEO Mark Hurd recently predicted AI in every cloud application by 2025. That’s very achievable, says Clive Swan of Oracle Adaptive Intelligent Apps, citing advances in Oracle’s intelligent enterprise resource planning, human capital management, and more. The payoff? Using AI capabilities embedded in applications your employees use every day—such as a time card app that learns work habits and can proactively fill out a timesheet for the employee to approve it. A framework for your AI strategy.

Why ‘Strategic IoT’ Is Key It might be tempting to “go crazy and build out all the machine learning or blockchain applications you’d like to,” says Oracle’s Rick Jewell, but then you must find, pay, and retain developers and data scientists. To provide an alternative, Oracle has rolled out five applications for specific functions in its IoT platform—to monitor assets, production, vehicle fleets, and customer service as well as ensure worker health and safety. More expert insight from Oracle OpenWorld

CargoSmart Brings Blockchain to Shipping CargoSmart thinks using blockchain in its logistics and shipping management business could bring a 65% time savings over handling paper, says Chief Operating Officer Lionel Louie. The benefit, he says, is a new level of “trust and transparency.”

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