VIDEO

How AIOps can help end users to identify and address IT infrastructure performance issues

In the second part of a two part interview, Digitalisation World talks to Virtana’s Managing Director International, David Cumberworth, about how AIOps can help end users to identify and address IT infrastructure performance issues – including some ‘real world’ examples.

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VIDEO

The Channel – delivering technology choice and expertise

Jeff McCullough, Vice President of Global Channel Sales at Park Place Technologies, talks through the many opportunities available to the Channel, as end users are looking for a combination of technology choice and expertise in today’s hybrid world. Jeff also outlines the company’s Discover, Monitor, Support, Optimise (DMSO) solution, including the recent launch of the Uptime Partner Portal, alongside the partner-focused Uptime Program.

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VIDEO

Applying a business lens to IT performance

Gregg Ostrowski, Regional CTO at Cisco AppDynamics, explains how full stack observability offers many benefits to organisations struggling to make sense of complex, likely hybrid infrastructure, as they work towards digital transformation.

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VIDEO

The importance of intelligent automation

Guy Nadivi, Senior Director, Marketing, Ayehu, and host and producer of Intelligent Automation Radio, emphasises how crucial it is that end users embrace the opportunities of intelligent automation (IA). Firstly, he looks at the consequences of not implementing IA. Secondly, he offers some advice on how to optimise IA projects.

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VIDEO

AIOPS moves beyond the ‘angry teenage years’!

Paul Bevan, Navigator, Research Director: IT Infrastructure at Bloor Research, provides some great insights into the state of the AIOPS market, and its place in the overall Ops landscape, covering cloud, observability and Digital Operations Management along the way.

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VIDEO

AIOps: Moving beyond the trigger-driven alerts model with deep learning

Shaun McGirr, AI Evangelist, Dataiku, says that the standard application of AI to IT operations is to mitigate the “overload of red alerts”: too much noise, not enough signal. This is a valid concern as IT estates grow larger, but the emphasis on individual overload does nothing to address the underlying process issue. Machine Learning needs to be used in the right place and with the right data.

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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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