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Conversational AI use cases for enterprises

IBM Services

These technologies enable systems to interact, learn from interactions, adapt and become more efficient. billion by 2030. In human resources (HR), the technology efficiently handles routine inquiries and engages in conversation.

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How to choose the best AI platform

IBM Services

trillion to the global economy in 2030, more than the current output of China and India combined.” This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Intelligent workflows : AI optimizes in-store processes, inventory management and deliveries.

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Exploiting Generative AI to Enhance Order Experience

Perficient Digital Transformation

AI technologies are already on a path to magnify gains in productivity, efficiency, and adaptability. trillion in potential contributions by 2030. Businesses are evolving with the adoption of AI disciplines like machine learning (ML), natural language processing (NLP), robotics, and many others.

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Six EAM trends pushing the oil and gas industries forward

IBM Business Partners

The oil and gas industry remains an integral part of the energy landscape, but it faces a number of modern challenges, including volatile market conditions, expanding environmental regulations and the growing need for operational efficiency. through 2030. equipment, machinery and infrastructure).

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MRO at a Crossroads: Embracing Digital Technology to Overcome Industry Challenges

Capgemini

As airlines push for greater efficiency amid growing backlog, maintenance, repair, and overhaul operations are under pressure to scale. But as global fleets expand and aircraft lifespans extend, the MRO sector is under mounting pressure to scale efficiently while navigating increasingly complex challenges.