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.

Yechezkel "Chez" Rabinovich, CTO and co-founder at Groundcover, joins SE Radio host Brijesh Ammanath to discuss the key challenges in migrating observability toolsets. The episode starts with a look at why customers might seek to migrate their existing Observability stack, and then Chez explains some approaches and techniques for doing so. The discussion turns to OpenTelemetry, including what it is and how Groundcover helps with the migration of dashboards, monitors, pipelines, and integrations that are proprietary to vendor products. Chez describes methods for validating a successful migration, as well as metrics and signals that engineering teams can use to assess the migration health.

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

Murat Erder, CTO for Financial Services at Valtech in Europe, and Eoin Woods, independent consultant in the field of software architecture, join host Giovanni Asproni to talk about Continuous Architecture—an approach to software design where architectural decisions are made and refined continuously throughout the lifecycle of a system, instead of up front in a big design phase. The show starts with a definition of Continuous Architecture and a description of the six principles underpinning it. Following that is an explanation of the main reasons and advantages of this approach, which finishes with some hints on how to get started using it. During the conversation, they explore several key points, including how to empower teams to take architectural decisions and recording those decisions; using feedback loops to refine the architecture; the role of software architects and architectural governance; the importance of focusing on quality requirements; and the impact of artificial intelligence on the field.

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

Sriram Panyam returns to the show to discuss the system design interview (SDI) with host Robert Blumen. This challenging part of the hiring process is included in the interview loop for many jobs across tech, including management and for all levels from entry to senior. The conversation starts with a look at what the SDI is, who will face it, and how critical this interview is for hiring and leveling. Sriram shares some common system design questions and what the interviewers are generally looking for, including stated versus unstated requirements and ambiguity in the questions. He offers recommendations on how candidates should disambiguate their designs and manage their time. He shares some personal stories of interview failures and successes, and even discusses some mistakes that interviewers make.

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

In this episode, Sahaj Garg, CTO of wispr.ai, joins SE Radio host Robert Blumen to talk about the challenges of building low-latency AI applications. They discuss latency's effect on consumer behavior as well as interactive applications. The conversation explores how to measure latency and how scale impacts it. Then Sahaj and Robert shift to themes around AI, including whether "AI" means LLMs or something broader, as they look at latency requirements and challenges around subtypes of AI applications. The final part of the episode explores techniques for managing latency in AI: speed vs accuracy trade-offs; speed vs cost; latency vs cost; choosing the right model; reducing quantization; distillation; and guessing + validating.

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

Derick Schaefer, author of CLI: A Practical Guide to Creating Modern Command-Line Interfaces, talks with host Robert Blumen about command-line interfaces old and new. Starting with a short review of the origin of commands in the early unix systems, they trace the evolution of commands into modern CLIs. Following the historic rise, fall, and re-emergence of CLIs, they consider innovative examples such as git, github, WordPress, and warp. Schaefer clarifies whether commands are the same as CLIs and then discusses a range of topics, including implementation languages, packages in the golang ecosystem for CLI development, CLIs and APIs, CLIs and AIs, AI tooling versus MCP, the object-command pattern, command flags, API authentication, whether CLIs should be stateless, and output formats - json, rich text.

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

Max Geurnsey III and Luniel de Beer, co-authors of the book Ready: Why Most Software Projects Fail and How to Fix It, discuss the concept of readiness in software engineering with host Brijesh Ammanath. Although Agile workflows and technical practices help delivery, many software efforts still struggle to achieve desired outcomes. Rework, shifting requirements, delays, defects, and mounting technical debt can plague software delivery and impede or altogether halt progress toward goals. The problem is often that implementation begins prematurely, before the team is properly set up for success. A strict system of explicit readiness work and gating, called Requirements Maturation Flow (RMF), has the potential to solve this problem in an SDLC-independent way. Teams that adopt RMF can dramatically improve progress toward real goals while reducing stress on engineering teams. In this episode, Max and Luniel deep dive into RMF and explain its foundational pillars.

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

Mojtaba Sarooghi, a Distinguished Product Architect at Queue-it, speaks with host Jeremy Jung about virtual waiting rooms for high-traffic events such as concerts and limited-quantity product releases. They explore using a virtual queue to prevent overloading systems, how most traffic is from bots, using edge workers to reduce requests to the customer's origin servers, and strategies for detecting bots in cooperation with vendors. Mojtaba discusses using AWS services like Elastic Load Balancing, DynamoDB, and Simple Notification Service, and explains why DynamoDB's eventual consistency is a good fit for their domain. To explain the approach, he walks us through how his team resolved an incident in which a traffic spike overloaded their services.

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