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AI Is the Remedy to Pharmacies’ Operational Headaches

Information Week

From staffing to supply shortages, these seven artificial intelligence use cases can help pharmaceutical retailers enhance efficiencies and patient experiences.

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Augmenting the Pharmaceutical Regulatory Worker With AI and ML

IT Toolbox

The post Augmenting the Pharmaceutical Regulatory Worker With AI and ML appeared first on Spiceworks. Learn how AI, ML, and LLM technologies augment regulatory workers.

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How to prioritize AI initiatives: A strategic framework for maximizing ROI

CIO Business Intelligence

This quote sums up the need for companies to prioritize artificial intelligence (AI) initiatives and also captures the state of the AI race today. You have to understand it, because it will have a significant impact on every single thing that you do. Theres no avoiding it. Mark Cuban.

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Data Management in the Healthcare Industry

CIO Business Intelligence

Among the exciting possibilities to cure illness and save lives are artificial intelligence (AI), blockchain, and telemedicine. Blockchain, because of its ability to immutably preserve transaction records, could accurately manage the distribution of pharmaceuticals, said Steven M Prentice @StevenPrentice.

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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.

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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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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.