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You May Soon Be Told to “Go Jump in a Lake” for Your ESI: eDiscovery Trends

eDiscovery Daily

A data lake, that is. Leave it to Rob Robinson and his excellent Complex Discovery blog to provide links to several useful articles to help better understand data lakes and the potential they have to impact the business world (which, in turn, impacts the eDiscovery world). So, what is it and why should you care?

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The most valuable AI use cases for business

IBM Big Data Hub

Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. On a smaller scale, some organizations are reallocating gen AI budgets towards headcount savings, particularly in customer service.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Here, Part 1 discusses the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how the trends are affecting business users and customers. Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain.