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Success of AI in academic libraries depends on underlying data

CILIP

The huge growth of mobile devices, internet-connected devices, and applications on the market has drastically increased opportunities for data collection. As data is collected in libraries, librarians can use the information to develop products and services, improve marketing and communications, or monetize information.

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The most valuable AI use cases for business

IBM Big Data Hub

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. ML can also conduct algorithmic trading without human intervention.

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Best DevSecOps Tools

eSecurity Planet

Though still a maturing market, several DevSecOps vendors stand out, offering tools for containers , continuous integration and continuous delivery (CI/CD) pipelines, and API management. The market leader provides a central cloud console for managing and analyzing the status of applications.

Cloud 108
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eDiscovery for the Rest of Us: eDiscovery Best Practices, Part Four

eDiscovery Daily

with MS Office 2016 and Adobe Acrobat 11 Pro installed and the office’s network file server had ample space for the document collection. Ability to process relevant metadata. Simple document tagging and production identification. The next step in the market of technology for the rest of us is growth of Internet based tools.