You’ve heard of AIOps. But what is it? And why is it more than just another buzzword?
In a series of four podcasts, and with the help of fellow industry experts, we look to define AIOps and explore the common business challenges that are driving a need for it, as well as demonstrating how AIOps addresses these challenges using real-world examples. Following this, we take a deeper dive into two of these challenges; how to manage increasingly complex environments with fewer resources and how to quickly uncover key information from ever-expanding data sets. Finally, we discuss how you can get started with AIOps, the key considerations involved in this process, and how to ensure smooth implementation.
In the first of a four-part TEC17 series on AIOps, Jas Binning of WWT and Keith Whiteside from E2Tech look to define AI Operations and explore its potential to solve real-world business challenges.
In episode 2 of our four-part series on AIOps, Jas Binning from WWT, Kingsley Hughes-Morgan from Cisco AppDynamics and Aseem Anwar from Turbonomic explore how AIOps tools can be used to alleviate the difficulty of managing increasingly complex environments with reduced ops resources.
Ops teams have more data today than ever before. But in an increasingly complex environment, how can they fish out the key data that will help them remedy operational issues and use this operational data to generate real value for the business?
In the final episode of our four-part series on AIOps, WWT's Jas Binning and Paul Robinson discuss how to get started with AIOps, including common implementation challenges and how to overcome these.