SE Radio 707: Subhajit Paul on ERP Automation and AI

SE Radio 707: Subhajit Paul on ERP Automation and AI

Author: team@se-radio.net (SE-Radio Team) February 12, 2026 Duration: 59:47
Software Engineering Radio - the podcast for professional software developers
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In this episode, Subhajit Paul joins SE Radio host Kanchan Shringi to discuss how enterprise resource planning (ERP) systems work in practice and where machine learning and generative AI are beginning to fit into real-world ERP environments.

Subhajit grounds the conversation in ERP fundamentals, explaining core business flows such as order-to-cash, procure-to-pay, and plan-to-produce, and why ERP systems are central to running large enterprises. He then walks through the realities of ERP implementation, sharing examples of both successful and failed projects and highlighting common challenges around testing, process coverage, integrations, and change management.

The discussion also explores how AI is being applied in ERP today, including practical ML use cases such as inventory optimization and anomaly detection, as well as emerging generative AI and agent-based approaches.

Brought to you by IEEE Computer Society and IEEE Software magazine.


For developers who build the world's most critical systems, Software Engineering Radio offers deep, substantive conversations that move beyond the hype cycle. This isn't about quick tips or news flashes; it's a dedicated audio library for career engineers seeking to solidify their foundational knowledge and explore advanced concepts. Each episode is crafted as an enduring resource, featuring either a comprehensive tutorial breaking down a specific technology or methodology, or a detailed interview with a leading practitioner shaping the field. You'll hear focused discussions on everything from low-level systems architecture and programming language design to team dynamics and project management, all through the lens of professional software creation. The content is exclusively produced for this podcast, ensuring thoughtful, in-depth analysis you won't find simply repackaged from conference talks. If your work demands a rigorous understanding of the craft, this is the podcast for you.
Author: Language: en-us Episodes: 100

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