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The most valuable AI use cases for business

IBM Big Data Hub

More benefits from AI include building a more sustainable IT system and improving the continuous integration/continuous (CI/CD) delivery pipelines. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. AI has also been used to improve mechanical efficiency and reduce carbon emissions in engines.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability. It would access vast customer data and combine it with real-time analytics for efficient and personalized service. The skills gap in gen AI development is a significant hurdle.