Art of "Unsettled" Science in Distributed System

  A few years ago, a friend of mine, introduced me to the idea of the AI-ML Opportunity Canvas. I really liked the concept, and it has stayed with me since. So thought of creating my own version for Gen AI, inspired by the work of Louis Dorard and also a paper from Ulrich Kerzel and a LinkedIn blog from Amandeep. I think a Visual Canvas is a great idea because it helps structure thinking and brainstorm around how Gen-AI can create value, identify key challenges, and plan next steps. It’s a simple way to bring clarity. Feel free to use, share, or modify it as you see fit, Hope you find it helpful. [ Disclaimer] The views and opinions expressed in this blog are my own and do not necessarily reflect the official policy or position of my employer or any affiliated organisation. Any content provided is for informational purposes only.

By Ron Sengupta Journey Begins - Discovering the World of Supply Chain I have recently signed up for Supply Chain Management Micromasters at MITx. This is a fascinating and rich program that dive deep into supply chain systems and technology. The program introduces four core components of supply chain technology, 1. Data Management, 2. Machine Learning for SCM, 3. Supply Chain Systems and 4. End to end simulation from the perspective of the supply chain management ecosystem. The simulation aspect of the supply chain is completely new to me. Although the formal program has yet to touch on simulation, it caught my attention (kind of a shiny new thing). So, I started exploring it on my own. This is my musing.   The Role of Simulation in Supply Chain Management As per  the “Supply Chain Management: Strategy, Planning, and Operation“ by Chopra and Meindl “A supply chain consists of all stages involved, directly or indirectly, in fulfilling a customer request. The supply chain not o...

Merriam-webster defines baseline "as a line serving as a basis", or you can think of it is a starting point used for comparisons. In site reliability engineering (SRE), establishing a performance baseline for workloads is a common practice. This baseline serves as a reference point for monitoring and also improving system performance over time. In my previous experience as a SRE, particularly in supporting critical e-commerce websites, I learned that it's beneficial to establish more than one baseline for a more holistic view and accurate analysis. I have found two key types of baselines are quite useful: [A] Performance Baseline Influenced by External Factors: This baseline takes into account real-world conditions such as network variability, user device performance, and other external influences. It reflects the performance metrics as experienced by the end-users, providing insights into how these factors impact the user experience. [B] Performance Baseline Detached ...

               It's science but...not all variables are "settled"... Welcome to "Art of Unsettled Science" – our little corner of the "real world computing" we talk about topics in the realm of distributed systems that are little more than a textbook full of facts. Here, we dive into these grey areas that are not quite "settled" yet, where theories are still in the making, and everything feels a bit like a work in progress. We are all about exploring the unknown with a sense of wonder and a healthy dose of curiosity. So, if you're into adventures where the answers aren't clear yet, you've found your crew.