How IBM Maximo Users are Advancing Maintenance Maturity in a Changing Asset Management Landscape: Insights from a Recent Enterprise Asset Management Benchmark Study
September 17th @10 a.m. EST
In this webinar, you will:
- Review the key findings from a 2026 study of 100 Maximo users worldwide
- Learn how platform modernization and consolidation are helping Maximo Application Suite users unlock additional value
- Explore how a strategy of deliberate prioritization over broad experimentation, as well as other practical steps, can accelerate AI adoption
Register
Webinar Topics
New research reveals strategies current Maximo users are following – modernization, consolidation, prioritization, and harmonization – to further advanced maintenance strategies and AI adoption in a changing asset management landscape. Kerry Kim, Solution Marketer at Cohesive, and Jatinder Devgun, Research Analyst at Verdantix, share some of the findings and insights from their recent study of 100 IBM Maximo users worldwide – Enterprise Asset Management Study: How IBM Maximo Users are Advancing Maintenance Maturity in a Changing Asset Management Landscape.
Key Questions Answered:
- What are the similarities and differences between Maximo users and the broader market as it relates to maintenance strategies and AI adoption?
- What strategies are Maximo leaders following to accelerate the use of predictive maintenance and AI assisted asset management?
- What are some relevant market and technology trends, and how might they impact your industrial asset management strategies?
Who Should Attend?
- Asset management leaders
- Operations, maintenance, and facilities managers
- Reliability, process, and data engineers
- OT, IT
Your Speakers
Kerry Kim
Solution Marketer, Cohesive
Kerry is a Senior Solutions Marketing Manager at Cohesive, helping optimize the positioning and messaging of Cohesive’s portfolio. Previously, he supported technology companies like OutSystems, Stratus, SUSE, Red Hat and IBM, in product marketing and product management roles. He holds undergraduate degrees from Claremont Mckenna College and Stanford University in Management and Industrial Engineering, and an MBA from Northwestern’s Kellogg School of Managemen
Jatinder Devgun
Research Analyst, Verdantix
Jatinder is a Senior Analyst at Verdantix, providing insights on emerging technologies and market dynamics for technology buyers and software vendors. His expertise lies in asset-intensive sectors, such as energy, manufacturing and utilities. Jatinder focuses on Industrial AI and asset management. His research empowers technology buyers to make informed investment decisions, to reduce risk, optimize asset management and leverage AI, while enabling vendors and services firms to drive growth and commercialization efforts.