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Weeding your digital garden to provide outstanding software experiences

Providing a digital experience is like tending to a garden – there’s always room to grow and improve. By Dave Anderson, Digital Evangelist at Dynatrace

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Thriving in the enterprise AI era

Enterprise AI is the ability to embed AI methodology — which combines the human capacities for learning, perception, and interaction all at a level of complexity that ultimately supersedes our own abilities — into the very core of an organisation’s data strategy. By Alexis Fournier, Director of AI Strategy, Dataiku

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The ROI of data-driven development: improving how teams work

Every year, companies spend millions on digital solutions and platforms, hoping to accelerate their transformations. Development teams are at the heart of delivering that value and innovation, and the DevOps practices software teams have begun to adopt are critical to helping them optimize their software delivery value streams. By Andrew Davis, snr director, research & innovation, Copado

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What is an AI strategy and how do you build one?

We now live in an age of AI implementation. AI has completely revolutionised the way we work, interact and go about our lives. By Michael Chalmers, MD EMEA at Contino

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The future of service management in the DevOps era

An open, collaborative platform enables teams to scale operations quickly and ensure the organisations’ critical services are always on and operating at high velocity. By Gary Blower, Solutions Architect, Clearvision

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How to get started with AIOps

It can be stressful for IT Ops to manage, and AIOps is one solution coming to help IT improve system reliability and customer satisfaction while reducing some of the manual work. By Issac Sacolick.

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Latest Video

How to Adopt an AIOps Strategy: CA Interview with Chris Kline

CA Technologies’ Chris Kline shares how to adopt an AIOps strategy in a DevOps world. Chris shares how AIOps enables a move away from siloed operations management and provides intelligent insights that drives automation and collaboration for continuous improvement. Since AIOps leverages big data, data analytics and machine learning to provide insight and enable a higher level of automation, no longer does IT Ops need to depend extensively on human operators for the management tasks that modern infrastructure and software require.

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