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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. There are, for example, those in leadership roles who, while promoting the value of risk-taking, also insist on “holding people accountable.” You can’t lose.

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Report: AI giants grow impatient with UK safety tests

CIO Business Intelligence

Key AI companies have told the UK government to speed up its safety testing for their systems, raising questions about future government initiatives that too may hinge on technology providers opening up generative AI models to tests before new releases hit the public.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Therefore, engineering leadership should measure software developer productivity, says Mann, but also understand how to do so effectively and be wary of pitfalls.

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Preliminary Thoughts on the White House Executive Order on AI

O'Reilly on Data

adversarial testing to determine a model’s flaws and weak points), and not a wider range of information that would help to address many of the other concerns outlined in the EO. Methods by which the AI provider manages and mitigates risks identified via Red Teaming, including their effectiveness.

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Digital Transformation: How To Protect Your Organization From Cyber Risk

Smart Data Collective

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

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The risks and limitations of AI in insurance

IBM Big Data Hub

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

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Data breach prevention: 5 ways attack surface management helps mitigate the risks of costly data breaches

IBM Big Data Hub

The role of attack surface management in data breach containment Despite employing an arsenal of cybersecurity measures to protect sensitive data, many organizations find themselves in a relentless race against time, as they strive to bridge the gap between the moment a data breach occurs and when it is effectively contained.

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