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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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The Third Modern Data Management Summit: Making Data Work!

Reltio

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. Reltio was the Diamond sponsor and host of the event.

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10 everyday machine learning use cases

IBM Big Data Hub

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Other potential areas : Video generation (36%) and 3D model generation (26%) can create marketing materials, virtual renderings and product mockups. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. The skills gap in gen AI development is a significant hurdle.

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Digital Enterprises: Built on Modern MDM

Reltio

A future where modern MDM empowers enterprises to democratize and monetize insights, by unlocking value from data with AI-powered relationship-driven analytics. If you missed this event, check out the video presentations here to get the latest buzz in the data management industry (Login: dd19@reltio.com | Password: berightfaster).

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