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The 9 most in-demand IT jobs in healthcare

CIO Business Intelligence

Informatics is a top priority, driving a demand for skills such as SQL, Python, data analysis, project management, process improvement, and more. The role typically requires skills such as SQL, JavaScript, Python, CSS, Tableau, data visualization, data optimization, agile, Scrum, and strong written and verbal communication skills.

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How Far We Can Go with GenAI as an Information Extraction Tool

Ontotext

Our goal is to test whether GenAI can handle diverse domains effectively and determine if its a viable tool for domain-specific graph-building tasks. We also experimented with prompt optimization tools, however these experiments did not yield promising results. Tang, X., & Cohan, A.

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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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How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Zurich has done testing with Amazon SageMaker and has plans to add this capability in the near future.

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Top500: The Supercomputers Advancing Cyber Security, Renewable Energy, and Black Hole Research

CIO Business Intelligence

For optimizing existing resources, Eni uses HPC5 to model, study, and ultimately improve refinement operations. . Specifically, they are interested in electric utility response to cyber and physical threats, and they are working to develop an algorithm that can be used as a tested, trusted safeguard. HPCG [TFlop/s].

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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

SafeGraph found itself with a less-than-optimal Spark environment with their incumbent Spark vendor. The following figure highlights the engineering workflow when working with Spark, and the Spark platform should support and optimize each action in the workflow. Their costs were climbing.