Artificial Intelligence for IT Operations (or AIOps for short) continues to be a hot topic among developers, SREs, and DevOps professionals. The case for AIOps is especially crucial given the expansive nature of today’s observability efforts across hybrid and multi-cloud environments. Artificial Intelligence and Operational excellence are top priorities for CEOs in 2023 because they can deliver faster digital dividends during a tighter economy.

AIOps aims to accurately and proactively identify areas that need attention and assist IT teams in solving issues faster. As human beings, we cannot keep up with analyzing petabytes of raw observability data. Adding AIOps delivers a layer of intelligence via analytics and automation to help reduce overhead for a team.

Elastic’s Machine Learning detects anomalies, outliers from the group, and even those rare events for all of your observability data. Atlassian’s Jira Service Management offers a collaborative and proactive approach for teams to plan, respond, and learn from every incident. By leveraging the power of the Red Hat Ansible Automation Platform, which orchestrates different domains and use cases, we can deliver automation services at scale, which reduces the overall time to recover from any incident.

• What is AIOps, and how can it help you?
• Why do you need AIOps as part of your observability strategy?
• How does AIOps drive business value for an organization?
• What uses cases and trends will AIOps be able to handle in the future?

3:00 – 3:30   Registration & Refreshment
3:30 – 3:45   Introduction
3:45 – 4:45  Automate problem resolution and streamline operations with AIOps by Atlassian, Elastic & Red Hat
4:45 – 5:15  Use Case in action by iZeno
5:15 – 5:30   Q&A session
5:30 – 6:30   Networking session

Chidambaram Muthupalaniappan
(Principal Solutions Architect, ASEAN, Elastic)

Muhammad Fahad
(Senior Project Manager, iZeno)

Prabhu Nagaraj
(Senior Solution Architect, Red Hat)