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.
Read MoreCompanies 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.
Read MoreShaun 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.
Read MorePaul 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.
Read MoreGuy 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.
Read MoreGregg 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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