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MLOps and the evolution of data science

IBM Big Data Hub

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

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New book provides an accessible and practical introduction to data science

CILIP

New book provides an accessible and practical introduction to data science. Facet Publishing announce the publication of Practical Data Science for Information Professionals by David Stuart. David Stuart said of the text: "The growing importance of data science in the world today is impossible to miss ?

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Working to Advance Library Support for Web Archive Research 

Archive-It

by the Community Programs team This Spring, the Internet Archive hosted two in-person workshops aimed at helping to advance library support for web archive research: Digital Scholarship & the Web and Art Resources on the Web. Participants were then introduced to Archives Research Compute Hub (ARCH).

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Working to Advance Library Support for Web Archive Research 

Archive-It

by the Community Programs team This Spring, the Internet Archive hosted two in-person workshops aimed at helping to advance library support for web archive research: Digital Scholarship & the Web and Art Resources on the Web. Participants were then introduced to Archives Research Compute Hub (ARCH).

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Embeddable AI saves time building powerful AI applications

IBM Big Data Hub

Just a few weeks ago, IBM announced an expansion to their embeddable AI software portfolio with the release of three containerized Watson libraries. The new libraries include: IBM Watson Natural Language Processing Library for Embed. The new libraries include: IBM Watson Natural Language Processing Library for Embed.

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Reltio and Snowflake partnership: Pioneering a cleaner, consolidated data future

Reltio

As organizations embrace an ever-growing list of applications and transition to the cloud, critical data—like information about customers and products—becomes increasingly disorganized and negatively impacts quality. Real-Time data availability Once set up, the system operates like a well-oiled machine. Our collective aim?

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How to enable trustworthy AI with the right data fabric solution

IBM Big Data Hub

Automated, integrated data science tools help build, deploy, and monitor AI models. With AI governance solutions, a data scientist using standard, open Python libraries and frameworks can have facts about the model building and training automatically collected. Processes that provide AI governance.