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Agentic AI design: An architectural case study

CIO Business Intelligence

They tested the prompts, modified them to give better examples, changed the wording of what was being asked from the LLM and kept testing. Eight different prompts were created that were tailored to the specific output data each agent was charged with generating.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.

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12 AI predictions for 2025

CIO Business Intelligence

For example, the previous best model, GPT-4o, could only solve 13% of the problems on the International Mathematics Olympiad, while the new reasoning model solved 83%. The fields of customer service, marketing, and customer development are going to see massive adoption, he says. Now, it will evolve again, says Malhotra.

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5 dead-end IT skills — and how to avoid becoming obsolete

CIO Business Intelligence

CIOs and other executives identified familiar IT roles that will need to evolve to stay relevant, including traditional software development, network and database management, and application testing. Maintaining network devices like routers, switches, and firewalls by hand are examples.”

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

By leveraging large language models and platforms like Azure Open AI, for example, organisations can transform outdated code into modern, customised frameworks that support advanced features. 3] Looking ahead, GenAI promises a quantum leap in how we develop software, democratising development and bridging the skill gaps that hold back growth.

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The early returns on gen AI for software development

CIO Business Intelligence

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road. “It One example is with document search and summarization.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

“Focusing on innovation and tech deployment helps pinpoint and eliminate obstacles that impede tech teams,” she says, adding that while measuring software development production is essential for IT digitalization, it also requires a careful rollout to maintain a healthy team dynamic.