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Bio digital twins and the future of health innovation

CIO Business Intelligence

Using these models, healthcare providers can test drugs and therapies with unprecedented speed and accuracy, reducing risks for both patients and physicians. Essentially, the technology involves the replication of the human body in software models.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

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Courage and Curiosity: Valuable Attributes for Women in Big Data

Cloudera

So, after my master degree, I started courses in Business Informatics. What are the risks of poor diversity? My experience as a woman driving that car is poorer for a lack of diversity in the testing process. . I was able to use code to create and I found that electrifying. Suddenly my environment changed completely.

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How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

Zurich has done testing with Amazon SageMaker and has plans to add this capability in the near future. With experience in the insurance, healthcare, and supply chain industries, she has held roles such as Storage Engineer, Risk Management Engineer, Vulnerability Management Engineer, and SOC Engineer.

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How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

This left platform engineers with the choice of changing the settings across the fleet of Spark jobs or risking unwanted surprises for their budget and cost of goods sold. This resulted in engineers choosing various versions of distro, some of which hadn’t been tested with our internal tools.

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LLM benchmarking: How to find the right AI model

CIO Business Intelligence

These are standardized tests that have been specifically developed to evaluate the performance of language models. They not only test whether a model works, but also how well it performs its tasks. With each advance in the LLMs themselves, new tests are created to meet the increasing demands.

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