AI in Maximo: AI Built for the Work that Keeps the World Running
Details
Join IBM’s AI in Maximo team to see how customers can begin utilizing embedded AI in the Maximo Application Suite to plan, operate, and optimize more effectively across the asset lifecycle.
We will demonstrate current AI capabilities available today and how organizations apply them to improve maintenance planning, streamline daily operations, and enhance reliability. A spotlight on Condition Insights will show how customers detect anomalies earlier, understand changing asset behavior, and take action before issues escalate.
You will also get a clear look at where Maximo stands on the journey toward agentic AI and how agentic features are beginning to support automated decisions and workflow coordination.
Bring your questions. Our experts will share practical examples, adoption tips, and proven ways customers are driving real outcomes with AI in Maximo.
Speakers (2)
Luke Firth
Product & Design Principal, Asset Lifecycle Management, IBM
Luke Firth leads AI for IBM’s Asset Lifecycle Management (ALM) portfolio spanning Maximo Application Suite, and Envizi - while serving as Design Principal for its user experience. A 10 year veteran of Maximo, today he drives the vision for how AI-first, outcome-driven products can redefine how industrial organizations plan, operate, and optimize their assets. His work focuses on weaving intelligence directly into everyday workflows, creating systems that guide, collaborate, and evolve with their users. A storyteller and systems thinker, Luke bridges design, product, and business strategy to deliver measurable impact and help shape the future of intelligent enterprise experiences.
Connor Russell
Product Marketing Manager
IBM Maximo Application Suite
Connor Russell serves as a Product Marketing Manager for IBM Maximo, with a dedicated focus on the evolution and adoption of AI within the Maximo portfolio. He leads messaging, go-to-market strategy, and customer engagement for Maximo’s AI features, helping organizations unlock new levels of intelligence in asset management. Connor collaborates closely with product development teams to translate complex AI innovations into clear value propositions and practical customer outcomes. His work supports clients across industries as they modernize operations, improve reliability, and drive proactive maintenance strategies. Connor is passionate about making AI approachable, actionable, and impactful for everyday Maximo users.