VIDEO

The importance of AIOps within Value Stream Management

Companies that choose not to consider the AIOps-powered VSM approach are missing a significant opportunity, argues Gaurav Rewari, CTO and GM of AI and VSM at Digital.ai.

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VIDEO

How to get started with AIOPS

Pierre Aeschlimann, Principal Strategist, Digital Transformation and Value Realization, Ivanti, talks through the AIOPS fundamentals, emphasising the importance of discovery and dependency mapping (DDM), configuring the data sources, discovering the ITSM pain points and opportunities and the use of agile processes to implement solutions.

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VIDEO

The race to IT observability

Ted Redkar, Chief Product Officer, LogicMonitor, talks about achieving end-to-end observability in the age of digital transformation and technological convergence.

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VIDEO

Exploring IT’s digital experience challenges

Jon Cairns, VP, Technical Services at Nexthink, focuses on the challenges IT departments faced during the pandemic when it came to providing an optimised digital experience for a working-from-home workforce and how the lessons learned can better inform the provision and acceptance of technology rollouts into the future.

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VIDEO

The role of AIOPS in successful cloud migrations

John Gentry, Chief Technology Officer and SVP Business Development, Virtana, discusses how AIOPS provides end users with a ‘know before you go’ confidence in terms of how/when/where to move apps into the cloud (or not).

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VIDEO

Tackling cloud complexity with the right tools

Stela Udovivic, Director of Product Marketing, VMware Tanzu, explains how securing the right observability tools will help enterprises get control over their software and spot problems before they become a more widespread issue.

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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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