AI News

DECEMBER 9, 2024

Developing compliance policies, appointing teams for AI governance, and ensuring that humans retain authority over AI-powered decisions are all important steps in creating a comprehensive system of AI ethics and governance. ”There’s a huge set of issues there.

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IBM Journey to AI blog

JUNE 17, 2024

There is an exciting canvas of opportunity ahead with generative AI: improving productivity across virtually every enterprise function, delivering exciting new kinds of customer experiences, and powering the development of new digital products and services—all underpinned by transformed technology delivery.

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Viso.ai

NOVEMBER 19, 2023

This article provides an overview of AI software products worth checking out in 2024. This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI.

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ODSC - Open Data Science

MARCH 5, 2024

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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Unite.AI

MAY 21, 2024

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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AWS Machine Learning Blog

NOVEMBER 6, 2024

For additional information on this use case, see Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Amazon Bedrock Knowledge Bases or Amazon Q Business. Transcribe audio with Amazon Transcribe In this use case, we use an Amazon 2024 Q1 earnings call as a sample. split('[link] s3_response_object = s3.get_object(Bucket=output_bucket,

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