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 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

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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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

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

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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Docker on IoT devices

Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world?s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker?s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 ?Dockerized? applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.

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