AIOps is about leveraging the power of AI to improve IT Operations. Much of the focus of AIOps is in the monitoring space, as it is hoped that the “intelligence” in AI can drive unprecedented levels of insight and automation and as a result dramatically improve efficiency and service quality.
This webinar will cover:
- Digitization and the imperative for AIOps
- The data required to feed an AIOps enabled monitoring capability
- Use cases enabled by AIOps in IT Operations
- Benefits of AIOps to IT Operations
- The unique challenges of managing performance, throughput and reliability of big data applications
- Overview and live Demo of Unravel Data with sample case studies of how F100 enterprises are responding to a new set of requirement to optimize, analyze and automate performance and cost assurance for big data applications
Attend this webinar to learn:
- How market leaders are addressing the unique problems of performance, throughput and reliability in their big data environments
- How Unravel Data applies AIOps techniques to not only monitor these applications but to apply AIOps efficiently to guarantee the performance and throughput of your big data environment
Shivnath Babu is the CTO at Unravel Data Systems and an adjunct professor of computer science at Duke University. His research focuses on ease-of-use and manageability of data-intensive systems, automated problem diagnosis, and cluster sizing for applications running on cloud platforms. Shivnath cofounded Unravel to solve the application management challenges that companies face when they adopt systems like Hadoop and Spark. Unravel originated from the Starfish platform built at Duke, which has been downloaded by over 100 companies. Shivnath has won a US National Science Foundation CAREER Award, three IBM Faculty Awards, and an HP Labs Innovation Research Award.