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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The future will be characterized by more in-depth AI capabilities that are seamlessly woven into software products without being apparent to end users. An overview.

Software 321
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5 top business use cases for AI agents

CIO Business Intelligence

Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. Major enterprise software vendors are also getting into the agent game. Still, enterprises are already reporting success deploying AI agents for several use cases.

CTO Hire 359
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7 types of tech debt that could cripple your business

CIO Business Intelligence

Open source dependency debt that weighs down DevOps As a software developer, writing code feels easier than reviewing someone elses and understanding how to use it. Options to reduce data management debt include automating tasks, migrating to database as a service (DbaaS) offerings, and archiving older datasets.

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3 commandments that should drive every API strategy

CIO Business Intelligence

According to secondary sources, this mandate included two strategic requirements that any IT leader should consider when seeking to maximize the value of their development teams’ efforts. If you’ve bolted APIs on top of your existing legacy software, you are not API first — at least not historically.

Strategy 345
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What the democratization of software development means for organizations

Trends in the Living Networks

Low-code and no-code software development have been around for a while. Now the rise of AI-assisted software development is pushing the power of software creation to the next level. This is very obviously required for security as well as maintaining the integrity of enterprise systems.

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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

For large enterprises, the success rate is even lower, with estimates hovering around 16-20% due to the scale and complexity of the initiatives. In revisiting my own pandemic experiences as an architect, I can re-imagine what a world might look like when faced with overwhelming odds again using agentic architectures and AI-enabled systems.

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Prioritizing AI investments: Balancing short-term gains with long-term vision

CIO Business Intelligence

As a software architect, I focus primarily on business and technology patterns and planning activities that are aligned to deliver desired business outcomes. According to CRN, approximately 53% of enterprises identify customer service chatbots as their top genAI priority. Shiny objects and practical innovation What about agentic AI?