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Galileo emerges from stealth to streamline AI model development

TechCrunch

“There were no purpose-built machine learning data tools in the market, so [we] started Galileo to build the machine learning data tooling stack, beginning with a [specialization in] unstructured data,” Chatterji told TechCrunch via email. With Galileo, which today emerged from stealth with $5.1

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Disney-backed Inworld raises new cash for its AI-powered virtual characters

TechCrunch

Formerly the CEO of API.ai, a natural language startup that once offered voice assistant software for Android, Gelfenbeyn joined Google following its acquisition of API.ai and then an engineering manager at Dialogflow. and its intellectual property. Ermolenko was the VP of R&D at API.ai

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Creating the Ultimate Data Orchestrator

StubHub

By Corey Reed, Head of Data Science & Satya Gandham, Machine Learning Engineering Manager When you serve millions of customers every year?—?averaging That extensive opportunity is further enhanced by our ongoing migration to the cloud which has created several new and exciting avenues to explore.

Data 45
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5 Takeaways from the 2022 Gartner® Data & Analytics Summit, Orlando, Florida

DataRobot

That’s why DataRobot University offers courses not only on machine learning and data science but also on problem solving, use case framing, and driving business outcomes. And lastly, engineers managing IT or production environments find it simple to connect the DataRobot AI Cloud platform to other tools.

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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. As such, it is considered cloud-agnostic. This optimized data is stored in one of the cloud object storage such as S3 by AWS, Google Cloud Storage, or Microsoft Azure Blob Storage.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. However, the concept is quite abstract.

DevOps 142
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Intel and Cloudera collaborate to bring improved performance to customers with Optane DC Persistent Memory

Cloudera

Cloudera and Intel have a long history of innovation, driving big data analytics and machine learning into the enterprise with unparalleled performance and security. For more information learn how to get data insights faster from bigger workloads with Intel® Optane DC persistent memory.