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3 ways to avoid the generative AI ROI doom loop

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax From the Wall Street Journal to the World Economic Forum , it seems like everyone is talking about the urgency of demonstrating ROI from generative AI (genAI). GenAI itself can report week-on-week progress, putting it to work across your organization–including the ROI.

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Build a strong data foundation for AI-driven business growth

CIO Business Intelligence

Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges. Achieving ROI from AI requires both high-performance data management technology and a focused business strategy.

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How to Set AI Goals

O'Reilly on Data

Customer stakeholders are the people and companies that advertise on the platform, and are most concerned with ROI on their ad spend. Technical competence results in reduced risk and uncertainty. They don’t automatically generate revenue and growth, maximize ROI, or keep users engaged and loyal. characters, words, or sentences).

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Sustainability: Real progress but also thorny challenges ahead

CIO Business Intelligence

Dealing with uncertain economic environments, which can distract from sustainability issues: Energy prices, price inflation, and geopolitical tensions continue to fluctuate, and that uncertainty can impact focus on environmental sustainability. So far, however, companies seem to be staying the course.

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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.” What delivers the greatest ROI?

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How customers can save money during periods of economic uncertainty

CIO Business Intelligence

Saving money is a top priority for many organizations, particularly during periods of economic uncertainty. In fact, by using the Zscaler Zero Trust Exchange, the average Zscaler customer enhances power usage effectiveness (PUE) by 50%, ultimately helping the average customer achieve an ROI of 139%.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Business value : Align outputs with business metrics and optimize workflows to achieve measurable ROI. By contrast: ML-powered software introduces uncertainty due to real-world entropy (data drift, model drift), making testing probabilistic rather than deterministic. LLM-powered software amplifies this uncertainty further.

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