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E-mobility for truck OEMs: overcoming obstacles to take-up

Capgemini

In this article, Fredrik Almhöjd recommends three actions commercial vehicle manufacturers can take now to start overcoming customer resistance to e-mobility, with an emphasis on charging and connected services. We’ll discuss the important topic of automotive-connected services in more detail later in this blog series.

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Conversational AI use cases for enterprises

IBM Services

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. billion by 2030. NLG allows conversational AI chatbots to provide relevant, engaging and natural-sounding answers.

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Exploiting Generative AI to Enhance Order Experience

Perficient Digital Transformation

trillion in potential contributions by 2030. Inventory and capacity optimization Generative AI can study demand and supply patterns to help generate inventory and capacity scenarios including peak operations, market fluctuations, and environmental, social and corporate governance (ESG) related disruptive patterns.

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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.” You can optimize trade-offs between business goals—such as reducing customer service costs or improving customer satisfaction—and determine the best course of action in each situation. trillion in value.

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Six EAM trends pushing the oil and gas industries forward

IBM Business Partners

EAM is an invaluable tool that allows oil and gas companies to manage physical assets and infrastructure throughout their lifecycles—from design and procurement to maintenance and disposal. through 2030. Inventory management : Managing an inventory of spare parts and materials is a significant challenge for oil and gas companies.