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Building Trust in Public Sector AI Starts with Trusting Your Data

Cloudera

These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm. Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment.

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IT to thank for most of Radisson Hotel Group’s business initiatives

CIO Business Intelligence

So now, he says, more than 90% of the company’s business initiatives are possible through the tech borne out of the IT area he leads. When I joined the group in June 2019, there were two decision-making centers: Americas and the rest of the world. We want to personalize the client’s needs as much as possible.

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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

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Alation Ranked Top Data Catalog Third Year in a Row

Alation

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

We found that companies that have successfully adopted machine learning do so either by building on existing data products and services, or by modernizing existing models and algorithms. Use ML to unlock new data types—e.g., In an age of data-hungry algorithms, everything really begins with collecting and aggregating data.