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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

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The 17 Most Popular AI Software Products for 2024

Viso.ai

Other ML software platforms, such as DataRobot, offer integrated and pre-built notebooks. Code-first AI program for developers: Notebooks for computer vision in Viso Suite The computer vision platform Viso Suite provides notebooks for end-to-end model training automation. You can schedule a demo with an Observe.AI

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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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Unearth insights from audio transcripts generated by Amazon Transcribe using Amazon Bedrock

AWS Machine Learning Blog

Amazon Transcribe is a machine learning (ML) based managed service that automatically converts speech to text, enabling developers to seamlessly integrate speech-to-text capabilities into their applications. This is where AI and machine learning (ML) come into play, offering a future-ready approach to revolutionize IT operations.

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Embodied AI Chess with Amazon Bedrock

AWS Machine Learning Blog

Dwaragha Sivalingam is a Senior Solutions Architect specializing in generative AI at AWS, serving as a trusted advisor to customers on cloud transformation and AI strategy. Mohammad Tahsin is an AI/ML Specialist Solutions Architect at Amazon Web Services.

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

Snorkel AI

The “business intelligence” is mostly building dashboards and looking up SQL queries. It was wonderful because it paired a data science or ML/AI team with a subject matter expert, an SME team. And that led to the first-ever report that we wrote as the National AI Strategy.

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

Snorkel AI

The “business intelligence” is mostly building dashboards and looking up SQL queries. It was wonderful because it paired a data science or ML/AI team with a subject matter expert, an SME team. And that led to the first-ever report that we wrote as the National AI Strategy.