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6 keys to genAI success in 2025

CIO Business Intelligence

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. Consultants can help you develop and execute a genAI strategy that will fuel your success into 2025 and beyond. Click here to learn more about how you can advance from genAI experimentation to execution.

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AI-native software engineering may be closer than developers think

CIO Business Intelligence

Despite critics, most, if not all, vendors offering coding assistants are now moving toward autonomous agents, although full AI coding independence is still experimental, Walsh says. Caylent, an AWS cloud consulting partner, uses AI to write most of its code in specific cases, says Clayton Davis, director of cloud-native development there.

Software 141
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IBM Consulting unveils Center of Excellence for generative AI

IBM Big Data Hub

IBM Consulting has established a Center of Excellence for generative AI. It stands alongside IBM Consulting’s existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements. The CoE is off to a fast start.

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Gartner projects major IT spending increases for 2025

CIO Business Intelligence

Forrester also recently predicted that 2025 would see a shift in AI strategies , away from experimentation and toward near-term bottom-line gains. While AI projects will continue beyond 2025, many organizations’ software spending will be driven more by other enterprise needs like CRM and cloud computing, Lovelock says.

IT 133
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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.

Risk 111
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

ML apps needed to be developed through cycles of experimentation (as were no longer able to reason about how theyll behave based on software specs). The skillset and the background of people building the applications were realigned: People who were at home with data and experimentation got involved!

Testing 174
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The DataOps Vendor Landscape, 2021

DataKitchen

Comet.ML — Allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility. Service and Consulting Organizations with some DataOps experience. Cognizant – Data and analytics consulting practice.

Testing 300