Remove Applications Remove Artificial Intelligence Remove Pharmaceuticals
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Knowledge graphs: the missing link in enterprise AI

CIO Business Intelligence

In June 2023, Gartner researchers said, data and analytics leaders must leverage the power of LLMs with the robustness of knowledge graphs for fault-tolerant AI applications. There are some organizations that have invested in the technology, he adds, like large media and publishing companies, or pharmaceutical firms working on drug discovery.

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CIOs look beyond ‘Big 3’ cloud providers for AI innovation

CIO Business Intelligence

The sheer variety and volume of data used for precision therapeutics requires Athos to build its own AI algorithms and AI models, which it may commercialize to other biotechnology and pharmaceutical companies when fully baked.

Cloud 323
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3 principles for regulatory-grade large language model application

CIO Business Intelligence

This level of explainability will help build trust between users and the artificial intelligence (AI) system, ultimately leading to better outcomes. To illustrate this principle in action, consider a pharmaceutical company using an LLM to analyze proprietary data on a new drug candidate. Artificial Intelligence, Privacy

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The startups Nvidia thinks are the future of AI

Dataconomy

Nvidia has expanded its influence in the artificial intelligence (AI) sector by investing in six emerging AI companies. Nvidia builds AI portfolio with investments in six startups Nvidia’s investments include Applied Digital Corp , Arm Holdings , Nano-X Imaging , Recursion Pharmaceuticals , Serve Robotics , and SoundHound AI.

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What is NLP? Natural language processing explained

CIO Business Intelligence

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. NLP applications Machine translation is a powerful NLP application, but search is the most used.

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Generative AI usage gains traction among enterprises: McKinsey

CIO Business Intelligence

Artificial Intelligence, Enterprise Applications, Generative AI In contrast, manufacturing-based industries, such as aerospace, automotive, and advanced electronics could experience less disruptive effects due to limitations of the new technology’s usage in these industries as most work requires physical labor, the report said.

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How Nvidia became a trillion-dollar company

CIO Business Intelligence

Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Nvidia says its hardware, software, and services can cut early-stage drug discovery from months to weeks.

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