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How a solid generative AI strategy can improve telecom network operations

IBM Journey to AI blog

Standardized tooling: Seamless integration with various enterprise data sources is crucial for broad network compatibility. Exit prompt tuning: Continuous model improvement is enabled through prompt tuning, ensuring that it adapts and evolves based on operational feedback.

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Achieve your AI goals with an open data lakehouse approach

IBM Journey to AI blog

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy.

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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

While traditional PIM systems are effective for centralizing and managing product information, many solutions struggle to support complex omnichannel strategies, dynamic data, and integrations with other eCommerce or data platforms, meaning that the PIM just becomes another data silo.

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Twilio Segment: Transforming customer experiences with AI

AI News

Tools like Predictions put marketers at the centre of this new era of AI which is transforming how companies engage and retain their customers.” – Chris Koehler, CMO at Box. AN: What other emerging AI trends should people be keeping an eye on? Here are four trends in AI personalisation.

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How to improve your finance operation’s efficiency with generative AI

IBM Journey to AI blog

While you may have learned about generative artificial intelligence (AI), you may not know what it means for the future of Finance and Accounting (F&A). As the name suggests, it generates images, music, speech, code, video or text, while it interprets and manipulates preexisting data.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly.

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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning Blog

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. This is a guest post written by Axfood AB.