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Conversational AI use cases for enterprises

IBM Big Data Hub

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. These technologies enable systems to interact, learn from interactions, adapt and become more efficient. billion by 2030.

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Reimagining technology for the next generation

CIO Business Intelligence

A more recent phenomenon, the metaverse, will transform how businesses interact with customers, how work is done, what products and services companies offer, how they make and distribute them, and how they operate their organizations. We need to learn to interact in a way that promotes trust, specifically in the metaverse.

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Why We Started the Data Intelligence Project

Alation

The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030. It is clear that the need for data scientists and experts is not going away. Supporting the next data-literate generation. Data collection has exploded, and this poses both challenges and opportunities.