Remove terms-and-conditions
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How generative AI will revolutionize supply chain 

IBM Journey to AI blog

Supplier relationship management Generative AI can analyze supplier performance data and market conditions to identify potential risks and opportunities, recommend alternative suppliers and negotiate favorable terms, enhancing supplier relationship management.

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Zoom Uses Customer Data for AI Training; Faces Legal Quandary

Analytics Vidhya

The controversy centers around its recent terms and conditions, sparking user outrage and raising pertinent questions about data privacy and consent. In a new twist of events, Zoom, the popular videoconferencing platform, is entangled in a legal predicament regarding using customer data for training artificial intelligence (AI) models.

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How foundation models can help make steel and cement production more sustainable

IBM Journey to AI blog

This variability comes from material inconsistency (raw material comes from earth), varying weather conditions, machine conditions and the human inability to operate the processes at top efficiency 24 hours a day, every day of the week. They use high temperature heat in many of their processes that is primarily driven by fossil fuel.

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Text-to-Music Generative AI : Stability Audio, Google’s MusicLM and More

Unite.AI

Creating music using artificial intelligence began several decades ago. Initially, the attempts were simple and intuitive, with basic algorithms creating monotonous tunes. Today platforms like Spotify are leveraging AI to fine-tune their users' listening experiences.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Networks unchained: the shift toward intent-based autonomous operations

IBM Journey to AI blog

Taking it a step further, autonomous networks (AN) promise to utilize intents as inputs to autonomously self-configure, self-optimize and self-heal networks as their conditions evolve. As a result, networks have become increasingly hard to manage.

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Meet StyleMamba: A State Space Model for Efficient Text-Driven Image Style Transfer

Marktechpost

With the introduction of a conditional State Space Model created especially for effective text-driven image style transfer, StyleMamba expedites this procedure. By incorporating a conditional Mamba into an AutoEncoder architecture, StyleMamba presents a simple yet powerful framework.

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