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Inside the First Ever Legal Framework on AI

Dataiku

As with all other key aspects of the economy, the global health crisis we are going through is having a deep impact on AI developments in organizations. Yet, this shouldn’t overshadow other structuring trends happening in the background, starting with the emergence of a new regulatory framework which will deeply reshape how AI is scaled.

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Don’t pause AI development, prioritize ethics instead

IBM Big Data Hub

The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. They can help create better customer service and improve healthcare systems and legal services. AI is an ever-evolving technology.

Risk 101
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Data privacy examples

IBM Big Data Hub

Data privacy is more of an art than a science, a matter of balancing legal obligations, user rights, and cybersecurity requirements without stymying the business’s ability to get value from the data it collects. One cannot overstate the importance of data privacy for businesses today. The app heavily encrypts all user financial data.

Risk 69
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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. There’s been a flurry of tech startups, open source frameworks, enterprise products, etc., Ever heard of it before? What’s a Foo?

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was in fact an overview of a piece of research we update every year. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021.

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What Is Embedded Analytics?

Jet Global

These capabilities are to be made available inside the applications people use every day. Introduction Why should I read the definitive guide to embedded analytics? Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. CRM, ERP, EHR/EMR) or portals (e.g., intranets or extranets).