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The 2021 Executive Guide To Data Science and AI

Applied Data Science

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Download the free, unabridged version here.

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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. What motivated you to participate?

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NLP News Cypher | 09.13.20

Towards AI

The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.13.20 As a result, folks at RISE in Sweden wrote an interesting white paper on data readiness for those applying NLP across businesses/institutions. Aere Perrenius Welcome back.

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5 key areas for governments to responsibly deploy generative AI

IBM Journey to AI blog

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning.

AI 80
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NLP News Cypher | 09.13.20

Towards AI

The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.13.20 As a result, folks at RISE in Sweden wrote an interesting white paper on data readiness for those applying NLP across businesses/institutions. Aere Perrenius Welcome back.

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Graph visualization use cases

Cambridge Intelligence

But many of them are now using machine learning models to identify the latest trends in money laundering, developing advanced algorithms that continuously evolve and improve. Also think about the vastly complex neural networks that rely on natural language processing (NLP) to interpret queries and communicate results to users.

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Harvard professor: DataPerf and AI’s need for data benchmarks

Snorkel AI

With that said, I’m actually a faculty member at Harvard, and one of my key goals is to help—both academically as well as from an industry perspective—work with MLCommons , which is a nonprofit organization focusing on accelerating benchmarks, datasets, and best practices for ML (machine learning).