Tag Archives: Amazon DataZone

Transforming Patient Care: Generative AI Innovations in Healthcare and Life Sciences (Part 1)

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As early adopters of artificial intelligence (AI), healthcare and life science organizations are among the most enthusiastic and advanced users of generative AI. The transformative technology has undergone a remarkable evolution in the past year, propelling innovations once considered science fiction Continue reading Transforming Patient Care: Generative AI Innovations in Healthcare and Life Sciences (Part 1)→

AWS Weekly Roundup — AWS Chips Taste Test, generative AI updates, Community Days, and more — April 1, 2024

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Today is April Fool’s Day. About 10 years ago, some tech companies would joke about an idea that was thought to be fun and unfeasible on April 1st, to the delight of readers. Jeff Barr has also posted seemingly far-fetched Continue reading AWS Weekly Roundup — AWS Chips Taste Test, generative AI updates, Community Days, and more — April 1, 2024→

New generative AI capabilities for Amazon DataZone to further simplify data cataloging and discovery (preview)

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Today, we are announcing a preview of an automation feature backed by generative artificial intelligence (AI) for Amazon DataZone that will dramatically decrease the amount of time needed to provide context for organizational data. The new feature can automate the Continue reading New generative AI capabilities for Amazon DataZone to further simplify data cataloging and discovery (preview)→

Amazon DataZone Now Generally Available – Collaborate on Data Projects across Organizational Boundaries

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Today, we’re announcing the general availability of Amazon DataZone, a new data management service to catalog, discover, analyze, share, and govern data between data producers and consumers in your organization. At AWS re:Invent 2022, we preannounced Amazon DataZone, and in Continue reading Amazon DataZone Now Generally Available – Collaborate on Data Projects across Organizational Boundaries→

Learning From the IBM PC: How an open hardware platform for automotive applications can help transform the industry

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Drawing a parallel to the story of the IBM PC, this blog post shows how the introduction of an open hardware platform for automotive applications might create a similar environment driving innovation, disruption, and transformation for the automotive industry. This Continue reading Learning From the IBM PC: How an open hardware platform for automotive applications can help transform the industry→

Implement FAIR scientific data principles when building HCLS data lakes

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The FAIR data principles were first proposed in a seminal paper published in 2016 in the Journal Scientific Data. It was written by a group of international experts in data management and curation. To address the challenges that the research Continue reading Implement FAIR scientific data principles when building HCLS data lakes→