Emory University - Goizueta Master of Science in Business Analytics

I had the opportunity to help organize the 32nd Commemoration of the Genocide Against the Tutsi in Rwanda, held on April 23 at Emory University - Goizueta Master of Science in Business Analytics. The event brought together students, faculty, and community members to honor the more than one million lives lost during the 100 days of the 1994 genocide. We were grateful to welcome two speakers: Etienne Musonera, Professor of Marketing at Mercer University's School of Business and founder of Mercer On Mission Rwanda, who spoke on the history, impact, and lessons of the genocide. Omar Ndizeye, MA, author of "Life and Death in Nyamata" and founder of Inkuru Library, who shared his testimony as a survivor of the Nyamata Church massacre. This was an opportunity for our community to honor the lives lost, learn from Rwanda's history, and stand in solidarity with survivors. Thank you to our speakers and to everyone who joined us to Remember, Unite, and Renew. #Kwibuka32 #EmoryMSBA #Goizueta

Congratulations to the MS in Business Analytics Class of 2025, who have joined leading organizations, including Amazon, McKinsey & Company, Capital One, EY, and The Coca-Cola Company, applying their data-driven expertise across industries such as consulting, technology, financial services, retail, and more. Learn more: https://lnkd.in/e8sGq53j

Grateful to attend the Optimized AI Conference 2026 as an MSBA student at Emory University - Goizueta Master of Science in Business Analytics . Huge thanks to Scott Radcliffe, CAP-X , Mark Moyou, PhD , Joshua Cazoe for making this experience possible. Also want to thank Sura Elamurugu, Head of AI Platform at #Netflix, for sharing how Netflix is rethinking its AI platform moving toward capability-centric, multi-model systems. That perspective strongly resonated with me. While working on a demand forecasting project with LightGBM, I’ve run into similar challenges: switching models often means reworking parts of the pipeline, which doesn’t scale well. It’s been pushing me to think less about individual models, and more about how to design systems that can adapt over time. Separately, thanks to Emilie Schario, Co-founder at #KiloCode for sharing how Kiloclaw is evolving from inference-driven to memory/state-driven systems, a helpful lens on where intelligent systems are heading more broadly. Excited to keep building and learning in this space!

What an incredible day at the Optimized AI Conference 2026 in Atlanta! 🎉 I had the privilege of volunteering throughout the day- working registration, helping attendees find their rooms, and honestly just getting to talk to so many amazing people throughout the day. And on top of the volunteering experience, I got to sit in on some really eye-opening sessions. The one that stuck with me most was Joshua S., CIO at 66degrees. Here's some key takeaways: - 80% of AI value comes from the last mile - and almost nobody is there yet. It was a powerful reminder that building models is only part of the challenge; realizing impact is where the real work begins. - AFT (AI Facing Time) is the metric that matters - How many hours a day is someone actually inside AI? The goal is moving from 8% to 50%+. Start with foundational agents, layer in operative ones, and let autonomous agents emerge naturally. - Think of models like light bulbs - In 1920, you had one in the living room and knew the brand. Today, LEDs are everywhere - cheap, modular, anonymous. That's where models are headed. Build modular. Swap components as they perform. What stood out most was the idea that half of what we build today may be replaced within a year- and that’s a good thing. It reinforced how quickly this space is evolving and how important it is to build with change in mind. Huge thanks to Optimized AI Conference for having me and to Emory University - Goizueta Master of Science in Business Analytics for making this opportunity possible! Excited to keep learning, building, and growing in this space. #OptimizedAI #OAI2026 #AgenticAI #EmoryMSBA

Day 2 of Optimized AI Conference 2026. If Day 1 was about building smarter systems, Day 2 was about what it costs when you're not intentional with them. The throughline: capability is no longer the question. Judgment, trust, and adoption are. → Constraints drive adoption, not features. Giving users fewer, better options outperforms giving them everything the model can do. Don't start with what the model can do — start with what the user needs and what makes that repeatable. → Retrieval architecture determines what breaks in production. SQL, vector search, and knowledge graphs each have a ceiling. Hybrid approaches aren't overkill — they're how you handle the questions you can't predict ahead of time. → The bottleneck shifted from writing code to trusting what comes out. CI/CD pipelines need to match review depth to risk level. Not every change deserves the same scrutiny. → The personal agent era is already here. Giving agents data access, code execution, and external communication all at once is a recipe for failure. Sandbox what you can. Gate what you must. → AI is a mirror. Every system does exactly what it's told. The problem is never the technology — it's the data, the metrics, and the humans who chose them. → We built the world's most effective yes-man. AI won't push back the way a parent, mentor, or colleague would. That quiet agreement is slowly eroding critical thinking. Embed values before prompts. The real risk isn't a sci-fi takeover. It's human atrophy — slowly outsourcing judgment and creativity until we forget we had them. A huge thank you to the organizing team at Optimized AI Conference for the opportunity to volunteer and be in the same room as some of the sharpest minds in AI right now. And an equally big thank you to Emory University - Goizueta Master of Science in Business Analytics for making experiences like this possible. The MSBA is built around one idea — merging business, data, and technology to add real value. There is no better way to live that out than learning directly from the people at the frontiers of AI. Scott Radcliffe, CAP-X Ramnath (Ram) Chellappa Christina Wan, Ph.D. 📸 Photos by Avinash Bujhawan