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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. Traditional versus GenAI software: Excitement builds steadilyor crashes after the demo. The way out?

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO Business Intelligence

Jayesh Chaurasia, analyst, and Sudha Maheshwari, VP and research director, wrote in a blog post that businesses were drawn to AI implementations via the allure of quick wins and immediate ROI, but that led many to overlook the need for a comprehensive, long-term business strategy and effective data management practices.

ROI
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12 AI predictions for 2025

CIO Business Intelligence

Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.

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. Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed. But then, that’s where we must dive in slowly.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.

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CIOs contend with gen AI growing pains

CIO Business Intelligence

Unfortunately, despite hard-earned lessons around what works and what doesn’t, pressure-tested reference architectures for gen AI — what IT executives want most — remain few and far between, she said. “What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT I think driving down the data, we can come up with some kind of solution.”

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A Guide to the Six Types of Data Quality Dashboards

DataKitchen

An example of a data quality dashboard with CDEs from DataKitchen’s DataOps Data Quality TestGen Open Source Software. Another significant advantage is the ability of these dashboards to provide ROI-driven insights. This action-oriented approach ensures that data quality issues identified by dashboards are fixed.