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Bio digital twins and the future of health innovation

CIO Business Intelligence

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

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

Ontotext

Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. 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 benchmarked GPT-4o 3 and Llama-3.1-70b-Instruct

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Belcorp reimagines R&D with AI

CIO Business Intelligence

Belcorp operates under a direct sales model in 14 countries. 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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Top500: The Supercomputers Advancing Cyber Security, Renewable Energy, and Black Hole Research

CIO Business Intelligence

The system, which develops in-depth 3D subsoil models to see up to 15 kilometers underground, led to the discovery of Zohr , the largest known natural gas field in the Mediterranean. For optimizing existing resources, Eni uses HPC5 to model, study, and ultimately improve refinement operations. .

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Advancing Clinical Diagnostics with Knowledge Graphs

Ontotext

Clinical diagnostics labs help clinicians diagnose, treat, and manage patients by testing and analyzing human specimens. In use for decades, LIS and LIMS software have typically been built on relational databases with rigid data models. Laboratory testing workflows were easily satisfied by this software.

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How Zurich Insurance Group built a log management solution on AWS

AWS Big Data

Eventually, this data could be used to train ML models to support better anomaly detection. Zurich has done testing with Amazon SageMaker and has plans to add this capability in the near future. She holds a PhD in Informatics and has more than 15 years of industry experience in tech.

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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis. Jupyter notebook As part of the solution launch, we deploy a preconfigured Jupyter notebook to help test the cross-Regional Dask solution.