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Beyond “Prompt and Pray”

O'Reilly on Data

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.

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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. To benefit from this wider range of RAG services, organizations need to ensure their data is AI-ready. I see this taking shape in 5 key areas.

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CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

CIOs are under increasing pressure to deliver meaningful returns from generative AI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. hours per week by integrating generative AI into their workflows, these benefits are not felt equally across the workforce.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI.

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5 tips for better business value from gen AI

CIO Business Intelligence

According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. In HR, measure time-to-hire and candidate quality to ensure AI-driven recruitment aligns with business goals.

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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. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Forrester reports that 30% of IT leaders struggle with high or critical debt, while 49% more face moderate levels.

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