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Beyond “Prompt and Pray”

O'Reilly on Data

This distinction is critical because the challenges and solutions for conversational AI are unique to systems that operate in an interactive, real-time environment. But it harbors serious issues that become apparent at scale: Unreliability Every interaction becomes a new opportunity for error. Its quick to implement and demos well.

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Managing risk in machine learning

O'Reilly on Data

Fortunately, a recent survey paper from Stanford— A Critical Review of Fair Machine Learning —simplifies these criteria and groups them into the following types of measures: Anti-classification means the omission of protected attributes and their proxies from the model or classifier. Continue reading Managing risk in machine learning.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

The coordination tax: LLM outputs are often evaluated by nontechnical stakeholders (legal, brand, support) not just for functionality, but for tone, appropriateness, and risk. How synthetic data can accelerate iteration before real users interact with the system. How will you measure success? The answers were: Our students.

Testing 174
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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Unfortunately, implementing AI at scale is not without significant risks; whether it’s breaking down entrenched data siloes or ensuring data usage complies with evolving regulatory requirements. The platform also offers a deeply integrated set of security and governance technologies, ensuring comprehensive data management and reducing risk.

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Sweat the small stuff: Data protection in the age of AI

CIO Business Intelligence

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. AI usage may bring the risk of sensitive data exfiltration through AI interactions.

Risk 105
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AI dominates Gartner’s 2025 predictions

CIO Business Intelligence

By 2028, 40% of large enterprises will deploy AI to manipulate and measure employee mood and behaviors, all in the name of profit. “AI AI has the capability to perform sentiment analysis on workplace interactions and communications.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.

Risk 140