

We’re hosting a free virtual event, “Enhancing Safety and Compliance: AI‑Powered Risk Detection and Condition‑Based Maintenance with Maximo,” where IBM Maximo experts will show you how to connect powerful AI tools in Maximo to make smarter, safer, more confident asset decisions.
Welcome & Opening Remarks
Session #1:
Insight to Action: AI‑Driven Condition‑Based Maintenance by Alex Melamed, Senior Product Manager, IBM
Asset‑intensive organizations are shifting from reactive, time‑based maintenance to smarter, risk‑based strategies that prevent failures before they occur. This session shows how extending Maximo from Manage into Asset Performance Management (APM) brings Condition‑Based Maintenance to life by combining operational data with AI‑driven analytics to detect early degradation, assess asset health, and prioritize work based on risk. With tools like health scoring, condition monitoring, and reliability strategies, teams can turn raw data into actionable intelligence and move from reactive firefighting to proactive, failure‑preventing asset management with Maximo and APM.
RAP Talk:
Seeing Risk Before Failure: AI‑Powered Defect Detection with Maximo by Ed Neubecker, Principal Automation Technical Specialist at IBM
Many asset failures begin as small defects—corrosion, cracks, leaks, or damage—that are easy to miss through manual inspection alone. To reduce that risk, organizations need a more automated and consistent way to turn visual findings into action, especially for technicians capturing images in the field. This RAP Talk shows how Maximo Visual Inspection uses AI‑powered computer vision to analyze images and video from mobile and edge devices to automatically identify defects. Earlier detection gives teams faster insight into asset condition and potential risk, and when integrated with Maximo workflows, these findings can trigger maintenance, strengthen condition monitoring, and help prevent failures before they disrupt operations or compromise worker safety.
Session #2:
Creating Safer, Smarter, and Compliant Operations with Maximo by Ravi Teja Siragam at IBM
Safety is becoming even more critical as operational complexity, regulatory pressure, and workforce risk continue to rise, making it essential for organizations to embed safety directly into daily work—not manage it as a separate process. This session explores how Health, Safety and Environment (HSE) capabilities integrate into Maximo workflows so safety checks, permits, job safety analysis, and compliance controls are built into every step of work execution. With HSE embedded into maintenance and operational processes, organizations can reduce incident exposure, strengthen compliance and audit readiness, and ensure safer, more consistent work across the board.
Questions & Closing Remarks
Connect the tools you already have.
Make smarter asset decisions.
Get more value out of your Maximo investment.
Save your spot and see how Maximo’s AI‑powered capabilities can help you work smarter, safer, and more proactively. Register for the free virtual event and join the community pushing Maximo further.

With nearly two decades of dedicated service at IBM, this professional has built an impressive career leading innovative software initiatives across multiple domains. Currently serving as Senior Product Manager and STO for Maximo Asset Performance Management, they oversee the strategic direction and delivery of AI-powered reliability solutions, guiding a dynamic team of product managers. Their experience spans leadership roles in sustainability software, workplace experience platforms, and Watson Assistant Solutions, consistently driving execution excellence and strategic alignment. Their background includes steering large-scale IoT projects, shaping developer experiences, and managing complex release cycles for enterprise software. Known for their expertise in business strategy, data integration, and continuous delivery, they have also played a key role in mentoring emerging leaders and fostering cross-functional collaboration. Their work reflects a passion for leveraging technology to solve real-world challenges and a long-standing commitment to innovation within IBM’s global ecosystem.


I am a self motivated, business minded technical sales team leader for AI vision applications at IBM. I have a passion for pursuing new things, embracing new challenges with laser like focus on outcomes and accelerate the learning experience by "doing". I have a strong engineering & analytical background in software, electrical, systems and robotics engineering. Most of all, I love to help our clients achieve their goals and succeed in their respective fields with optimized engineering practices.