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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning - AI

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. About the authors Vicente Cruz Mínguez is the Head of Data & Advanced Analytics at Cepsa Química.

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Can data drive more successful R&D in life sciences?

Capgemini

The availability of big data tools and data sciences with their potential to unlock the R&D process makes these skills even more critical. Artificial intelligence (AI) , data science, and analytics are making a significant impact on R&D and drug discovery. Nick Clarke – Head Of Analytics at Altran.

Data 98
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How Are CIOs Looking at Today’s Disruptive Tech Trends?

Dion Hinchcliffe's Web 2.0 Blog

They are the ones that I’ve been exploring in detail recently : Next-gen mobility, cloud computing, social media, consumerization ( #CoIT ), and big data. The spread of social media and BYOD are clear outcomes, but “consumer” expectations play a surprisingly large role in the development of Big Data and cloud-based applications.

Trends 89
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Predictive Maintenance: Employing IIoT and Machine Learning to Prevent Equipment Failures

Altexsoft

But such improvements require significant investments in IT infrastructure and expertise — namely, in industrial IoT (IIOT) sensors, analytics software with machine learning capabilities, services of data scientists and IT specialists, staff training. chemical content. Analytical solution with machine learning capabilities.

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What the Intelligence Community Doesn’t Know is Hurting the US

The Cipher Brief

In this role, she provided legal and policy advice on issues including foreign influence and election interference, immigration and watch listing, preparedness and response, and efforts related to biological, chemical, radiological, and nuclear weapons of mass destruction.

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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

Another example is labeling and categorizing objects in any scientific field, be it archeological finds, chemical samples, or living things in biology. You might find out that it’s not sufficient for your analytical needs. Alation: support for self-service analytics and BI. It provides data consumers with.

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Generative AI in Healthcare: Use Cases, Benefits, and Challenges

John Snow Labs

Investment in the right technology infrastructure is crucial, including computing resources capable of processing big data, and securing access to AI models and tools that are tailored for healthcare applications. Generative AI in healthcare promises to revolutionize patient care, drug discovery, and disease diagnosis.