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For Digital Transformation, You Need Content AI

AIIM

Of course, we've been digitizing content and delivering electronically -- and wrestling with metadata, search, information governance, and compliance -- for decades. What's new is the explosion of mobile and social data and Internet of Things. As we automate processes and move to data-driven methods, trust becomes an essential quality.

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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

Personalize customer experiences The use of AI is effective for creating personalized experiences at scale through chatbots, digital assistants and customer interfaces , delivering tailored experiences and targeted advertisements to customers and end-users.

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GDPR personal data explained

Collibra

Biometric data such as iris scans or fingerprints . Web data including location data, IP address, cookies or RFID tags that can be used to identify individuals. Advertising identifiers of mobile phone. Racial or ethnic data. Health and genetic data including diseases and treatments.