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AI Governance: Break open the black box

IBM Big Data Hub

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Manual processes that introduce risk and make it hard to scale. Multiple unsupported tools for building and deploying models.

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Data Governance Maturity and Tracking Progress

erwin

erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, this latest webinar focused on “ Data Governance Maturity & Tracking Progress.”.

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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative. Data modeling basics.

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From Chaos to Control with Data Intelligence

erwin

The answer is radical transformation, made possible by an intelligent, data-driven approach to: New business models. To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change. Watch the full webinar. New products and services. Hyper-competition.

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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. The webinar was very popular and I was not able to respond to all the questions during the live recording. You can of course listen and watch the webinar from this link. Hopefully this helps, and I hope you enjoy/enjoyed the webinar. It really does.

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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

A Gartner survey found that 57% of Boards of Directors have increased their risk appetites, and data & analytics are fueling more risky (and potentially rewarding) projects. Active metadata gives you crucial context around what data you have and how to use it wisely. Gartner Data & Analytics Summit 2022: Keynote Highlights.

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Now Available: Cloudera Data Science Workbench Release 1.4

Cloudera

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. This leads to wasted time and effort during research and collaboration or, worse, compliance risk. Experiments.