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How to win at AI: think like a systems designer, not a tech shopper

CIO

Katie feels this is relevant especially to tools such as coding assistants or DevOps AI agents that promise efficiency gains. IT should think like a systems designer, not a tech shopper. One challenge is demonstrating return on investment. Are organizations demonstrably seeing ROI today ? How is it being measured (if at all)?

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Why GreenOps will succeed where FinOps is failing

CIO

However, without a significant commitment from architects and engineers to design more efficient systems, shut down or resize underutilized resources, deploy autoscaling or adopt other cost optimization methods, many efforts fail to achieve meaningful impact. The result was a compromised availability architecture.

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6 enterprise DevOps mistakes to avoid

CIO

It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.

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Coach your Architects in Agile Architecture!

Xebia

When companies transform towards an agile and DevOps way of working, they sometimes ask how to proceed with architects. Some companies ignore architects in their transformation, some will upskill their architects, and some will make the DevOps teams responsible for the architecture.

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Why The Next Phase of AI Adoption Hinges On AI-Enablers 

Crunchbase News

This led to the rise of software infrastructure companies providing technologies such as database systems, networking infrastructure, security solutions and enterprise-grade storage. We can see a highly similar pattern shaping up today when we examine the progress of AI adoption.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. This architecture workflow includes the following steps: A user submits a question through a web or mobile application. 70B and 8B.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. He has touched on most aspects of these projects, from infrastructure and DevOps to software development and AI/ML.