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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges? Whats worse: Inputs are rarely exactly the same.

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Create value with AI agents

CIO Business Intelligence

Mastering them requires robust data infrastructure, clear ROI metrics, security and trust, and a forward-looking operating model. And beyond productivity, they are increasingly viewed as catalysts for tangible ROI and market disruption. Starting now can help you leverage AI agents for genuine business transformation. And

ROI
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Agentic AI design: An architectural case study

CIO Business Intelligence

Investments in AI agent projects are expected to yield orders of magnitude in ROI and business value if companies select high-impact use cases. There is no faster way to erode ROI than through unneeded token costs and extra processing costs. Now is the time to explore agentic AI. But then, that’s where we must dive in slowly.

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From fixed frameworks to strategic enablers: Architecting AI transformation

CIO Business Intelligence

Implement outcome-based metrics : Measure architectural success through business outcomes rather than technical compliance. Develop new skills and competencies : Invest in architectural talent that combines technical expertise with strategic business acumen to lead AI transformation.

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CDOs: Your AI is smart, but your ESG is dumb. Here’s how to fix it

CIO Business Intelligence

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT
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Products, not permission slips: A new way to pay for digital value

CIO Business Intelligence

Each one paired with the business metrics its meant to move. Begin with direct costs internal labor, contractors and product-specific software those items that easily map to only one product team. For each product line, include the total cost of ownership and the business metrics the team is driving. Side-by-side with metrics.

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Small language models (SLMs): a Smarter Way to Get Started with Generative AI

DataFloq

TL;DR Small language models (SLMs) are optimized generative AI solutions that offer cheaper and faster alternatives to massive AI systems, like ChatGPT Enterprises adopt SLMs as their entry point to generative AI due to lower training costs, reduced infrastructure requirements, and quicker ROI. Faster ROI. Cerence Inc. Cerence Inc.,