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Leveraging Generative AI in Genomics with IBM’s watsonx Platform

IBM Data Science in Practice

Genetic Data Analysis : Advanced AI techniques, such as deep learning, are used to analyze complex genetic data, providing deeper insights into genetic variations and their implications. This commitment to fairness helps in generating reliable and equitable insights from genomic data.

AI 100
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Meet the Final Winners of the U.S. PETs Prize Challenge

DrivenData Labs

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. Sitao Min is pursuing his Ph.D. at Rutgers University.

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Graph visualization use cases

Cambridge Intelligence

It’s far easier to explore than raw data, or a static visualization. The power of graph visualization: one of these formats is so much easier to understand Graph visualization has become a must-have data analysis tool in a growing number of domains. Let’s take a look at the most popular data visualization use cases.

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Link analysis: 6 trends shaping the future

Cambridge Intelligence

So does that negate the need for link analysis? Visual representations give analysts the situational awareness and actionable insights they need to keep their cloud network safe. Not at all.