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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

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How to become an AI+ enterprise

IBM Big Data Hub

This culture encourages experimentation and expertise growth. For example, by using compliance control scanning of terraform templates to fail provisioning if controls are not met. An AI+ enterprise also recognizes that alongside the necessary tools, fostering a culture that embraces AI and trains talent is crucial.

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Generative AI copilots: What’s hype and where to drive results

CIO Business Intelligence

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies.

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3 principles for regulatory-grade large language model application

CIO Business Intelligence

For example, a good result in a single clinical trial may be enough to consider an experimental treatment or follow-on trial but not enough to change the standard of care for all patients with a specific disease. A provider should be able to show a customer or a regulator the test suite that was used to validate each version of the model.

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The Royal Mint’s diversification means all change for IT and security

CIO Business Intelligence

They then reported back on the score’s movement of the score, going from68 to 98 in a year based on 10 core security metrics provided by securityscorecard.com, with 100 meaning there were no vulnerabilities on the visible attack surface. “At “We used a security scorecard benchmark and said we could become the most secure global mint.”

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.