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7 risk management rules every CIO should follow

CIO Business Intelligence

Risk is inescapable. A PwC Global Risk Survey found that 75% of risk leaders claim that financial pressures limit their ability to invest in the advanced technology needed to assess and monitor risks. Yet failing to successfully address risk with an effective risk management program is courting disaster.

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Beyond “Prompt and Pray”

O'Reilly on Data

Security Letting LLMs make runtime decisions about business logic creates unnecessary risk. Instead of having LLMs make runtime decisions about business logic, use them to help create robust, reusable workflows that can be tested, versioned, and maintained like traditional software. Development velocity grinds to a halt.

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Risk Management for AI Chatbots

O'Reilly on Data

Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. Why not take the extra time to test for problems?

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How resilient CIOs future-proof to mitigate risks

CIO Business Intelligence

This year saw emerging risks posed by AI , disastrous outages like the CrowdStrike incident , and surmounting software supply chain frailties , as well as the risk of cyberattacks and quantum computing breaking todays most advanced encryption algorithms. To respond, CIOs are doubling down on organizational resilience.

Risk 105
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Put Your Data to Work: The Complete Playbook

From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more. An interactive quiz to test (and refresh) your knowledge of different data types and how they help your organization.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

Get Off The Blocks Fast: Data Quality In The Bronze Layer Effective Production QA techniques begin with rigorous automated testing at the Bronze layer , where raw data enters the lakehouse environment. Data Drift Checks (does it make sense): Is there a shift in the overall data quality?

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. What breaks your app in production isnt always what you tested for in dev! The way out?

Testing 168