ASAP University Conference 2025

A massive thank you to each and every one of you who participated in the ASAP University conference 2025! Your energy, insights, and engaging questions truly made this event a success. We hope you left feeling inspired, informed, and connected to fellow Workload Automation enthusiasts.
Your contributions, whether as speakers, presenters, or engaged attendees, were invaluable. We’re already looking forward to what we can achieve together in the future.
Stay tuned for updates on next year’s conference!
Workload Wednesdays ASAP!
“Maximizing Efficiency with AI in Workload Automation: From Data Analysis to Job Scheduling” presented by Leon Odenbrett (HCL)
Date & Time: July 23, 2025 10:00 AM Eastern Time (US and Canada)
In today’s fast-paced business environment, organizations must optimize their workload automation strategies to remain competitive. AI can play a pivotal role in driving efficiency and precision across three key areas: reviewing data from canned reports, analyzing system data for trends and anomalies, and even generating job schedules. This session will explore how AI can enhance workload automation by providing deep insights into scheduling patterns, detecting anomalies, and enabling intelligent decision-making. Attendees will gain practical knowledge on integrating AI into their workload automation processes to improve efficiency, reduce manual effort, and ensure data-driven scheduling. Join us to discover how AI can revolutionize your automation strategy!
After registering, you will receive a confirmation email containing information about joining the meeting.
SPONSORSHIP
ASAP University is dedicated to providing the Workload Automation user community with a forum to learn, explore, and achieve results for their company as well as themselves. ASAP is committed to be the user voice behind workload automation issues to help drive the development of product enhancements. Our organization is a place where members can reach out and get real life examples and solutions to every day automation needs.
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