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Case study: How to simplify the AI deployment process

Hugging Face is a leading open platform for AI builders. And although their offerings can simplify the development process for AI applications, organizations typically face another roadblock to deployment: their infrastructure. Recognizing this challenge, Hugging Face sought out a way to help businesses get more out of their AI implementations.

In this case study, you’ll discover how Hugging Face was able to leverage its partnership with Intel to provide users with advanced software tools capable of deploying AI models of all sizes. Read on to learn how you can unlock performance advantages to deploy AI solutions faster and more cost-effectively.

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    Web3 is a fast-growing, but hotly debated, tech movement. Web3 proponents widely reject the centralized control of Big Tech and coalesce around a vision for decentralization -- specifically, an internet that uses blockchain-based architectures to distribute power and grants end users greater control, stake and economic benefit.

    Tech builders and businesses must take a proactive approach to security when evaluating Web3's potential. In this infographic, we point out seven best practices for Web3 risk mitigation to help leaders keep their network safe. 

     

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    Most manufacturing companies know how leveraging industrial data can improve production, but they remain challenged as to how to scale-up to the enterprise level. At the root is the difficulty of integrating data streams in a multi-system and multi-vendor environment.

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    Read how these four use cases reveal the ways Industrial DataOps can integrate your role-based operational systems with your business IT systems, as well as those of outside vendors such as machine builders and service providers.

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