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How machine learning impacts information security

O'Reilly on Data

The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies. Burt and cybersecurity pioneer Daniel Geer recently released a must-read white paper (“Flat Light”) that provides a great framework for how to think about information security in the age of big data and AI.

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Trust: The foundation for successful digital transformation

CIO Business Intelligence

The Implications When it comes to establishing trust, organizations currently fall into two very different camps: On one hand, there are organizations in which teams are struggling with unrealistic strategies and manually maintained spreadsheets. Ultimately, these businesses run the increasing risk of falling behind in their markets.

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Successful Citizen Data Scientist Strategy Starts with Planning!

Smarten

Planning Will Help Your Business Get the Most Out of a Citizen Data Scientist Strategy! If your business wishes to leverage the power of the Citizen Data Scientist strategy and enable data literacy and a balanced approach for data analytics, the enterprise must do more than select an augmented analytics solution for its team members.

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Reduce Risk, Increase Value: Why Equity Teams Need Automated Document Management

Jet Global

Without automated document management, you may find yourself falling victim to: Increased Risk of Errors : Manual handling of documents and data increases the risk of errors. Increased Security Risks : Document management features often include security measures to protect sensitive information.

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What policymakers need to know about foundation models

IBM Big Data Hub

Some risks of using foundation models are like those of other kinds of AI, like risks related to bias. But they can also pose new risks and amplify existing risks, such as hallucination, the capability of generation of false yet plausible-seeming content.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. What Is Model Risk?

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The Customer Journey to Decision Optimization

Decision Management Solutions

Balancing key profit drivers such as revenue, risk, & costs is central to success in lending and many other high volume, transactional decisions targeted with Decision Management. We have just published a new white paper – The Customer Journey to Decision Optimization.