Sharad Agrawal is the Co-Founder and Chief Operating Officer (COO) of Adapts, focused on transforming software maintenance and modernization in complex enterprise environments. Prior to Adapts, he served as a Product Lead at Microsoft Cloud for Industry, where he helped build Azure Data Manager for Energy, driving adoption across major energy companies. He also played a key role in shaping the Microsoft Open Supply Chain Platform, later integrated into Dynamics 365. His expertise spans energy, supply chain, content delivery, and DevOps, with a strong focus on enabling scalable digital transformation.
In his session, Sharad will present a new approach to modernizing legacy energy software, significantly reducing timelines and complexity. He will explore how a deterministic alternative to traditional, consultant-led discovery can transform modernization efforts in terms of cost, speed, and risk. The session will also highlight how AI coding tools can be grounded in real system intelligence to avoid creating new layers of complexity while retiring legacy systems. Additionally, he will provide practical guidance on identifying high-impact legacy systems and defining the right starting point for successful modernization initiatives.
Key Topics:
- Reducing legacy modernization timelines from months to weeks
- Deterministic alternatives to consultant-led discovery approaches
- Grounding AI tools in real system intelligence
- Avoiding context debt during modernization
- Identifying high-impact legacy systems and where to start
For more on this conference or to access the session, reach out to us at info@ptnevents.com.
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