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Bridgetown Research Secures $19M Series A to Revolutionize AI-Driven Business Research

Unite.AI

strategist who recognized that most business analyses are repetitive and thus ripe for automation. His team consists of experts from McKinsey, Bain, Amazon, and top technology startups, bringing together deep experience in AI, strategy consulting, and data science.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

IBM watsonx.ai: enterprise-ready next-generation studio bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. ” Romain Gaborit, CTO, Eviden, an ATOS business “We’re looking at the potential usage of Large Language Models.

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Predicting the Future of AI Investment in 2024 and Beyond

ODSC - Open Data Science

Both advancements and new products are driving fresh capital from venture capitalists and other firms who wish to utilize AI-driven technology in their investments. Because of this, the expected CAGR of both computer chips and AI-powered software is predicted to see a massive jump in growth above thirty percent through 2031.

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Mathias Golombek, Chief Technology Officer of Exasol – Interview Series

Unite.AI

As a high-performance analytics database provider, Exasol has remained ahead of the curve when it comes to helping businesses do more with less. We help companies transform business intelligence (BI) into better insights with Exasol Espresso, our versatile query engine that plugs into existing data stacks.

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Former U.S. Chief Data Scientist on past and future of data science

Snorkel AI

” DJ Patil AR: Just focusing on the terms data science and data scientist —what do you think is powerful about that term? Does it accentuate what you think needs to be done differently under a data-science mandate, versus, say, a domain expert or a statistician or an economist?

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Former U.S. Chief Data Scientist on past and future of data science

Snorkel AI

” DJ Patil AR: Just focusing on the terms data science and data scientist —what do you think is powerful about that term? Does it accentuate what you think needs to be done differently under a data-science mandate, versus, say, a domain expert or a statistician or an economist?

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Former U.S. Chief Data Scientist on past and future of data science

Snorkel AI

” DJ Patil AR: Just focusing on the terms data science and data scientist —what do you think is powerful about that term? Does it accentuate what you think needs to be done differently under a data-science mandate, versus, say, a domain expert or a statistician or an economist?