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In this bonus episode of Nutanix CXO Pulse, Nutanix executives go off-script to answer audience questions about Enterprise AI - no prep, no filters. Watch as they randomly draw questions submitted from Season 1 and share candid insights, from AI strategy best practices to what’s next for cloud-native environments.

Nutanix Enterprise Cloud Index www.nutanix.com/enterprise-cloud-index
Nutanix Cloud Interlock: Ask Us Anything event.nutanix.com/cloudinterlock-liveqa/podcast

Unscripted: Nutanix Execs Answer Your Top AI Questions

Artificial intelligence is now a part of everyday business work, from managing data to supporting routine tasks. Kirsten Poon, an AI analyst based in Edmonton, works with companies to find ways to apply AI that match their specific needs. Her focus is on making AI tools clear, practical, and useful in real work situations.

Kirsten Poon from Edmonton Shares 5 AI Points to Understand Before Getting Starte

Welcome to *AI with Shaily*! 🎙️ Hosted by Shailendra Kumar, this show brings you sharp, insightful updates on artificial intelligence and machine learning for curious minds eager to stay ahead. Today’s episode dives deep into the crucial yet often overlooked topic of **data versioning**—the backbone of successful machine learning projects in 2025 and beyond. 📊🤖

Shailendra draws a vivid analogy comparing data versioning to baking a cake 🍰: just like tweaking ingredients or oven temperature needs careful note-taking to replicate the perfect cake, managing datasets with precision is essential for reliable machine learning outcomes. Even tiny changes in data can dramatically impact model performance, making data versioning a superhero cape 🦸‍♂️ for ML teams to track, audit, and improve experiments consistently.

The episode breaks down five best practices for data versioning:

1. **Define what and how granular to version**: Focus on tracking significant changes that affect results, avoiding overload from minor tweaks. This keeps resources optimized while maintaining clarity. 📋✅

2. **Centralize data repositories with clear hierarchies**: Organize raw and processed data in separate, logical spaces—like having distinct shelves for flour and sugar—so data never gets mixed up. 🗂️📁

3. **Leverage modern data version control tools**: Traditional Git struggles with large datasets, but new tools like lakeFS enable seamless tracking of data versions alongside code and models, boosting reproducibility and audit compliance. 🛠️💾

4. **Automate versioning within ML pipelines**: Syncing data snapshots automatically with model experiments reduces manual work and minimizes errors or mismatches. 🤖🔄

5. **Promote collaboration and auditability**: Transparent data change histories improve teamwork across global teams, simplify troubleshooting, and ensure governance policies are met. 🌍🤝

Shailendra shares a personal story about early career challenges when untracked dataset changes caused model performance to vanish mysteriously—an experience that fueled his passion for robust data versioning. Thanks to tools like lakeFS, many ML teams now enjoy harmonious integration of data and model histories. 🎯📈

As a **Bonus Tip**, he recommends integrating data version control with cloud infrastructure ☁️ for scalable, secure, and remote team access—eliminating confusion over which dataset version is the latest.

He leaves listeners with a thought-provoking question: How do you currently track and manage your datasets? Could your approach use a versioning makeover? 🤔

And a memorable closing quote: *“In machine learning, reproducibility is king; data versioning is its crown.”* 👑

If you enjoyed the episode, Shailendra invites you to connect on YouTube, Twitter, LinkedIn, and Medium by searching *Shailendra Kumar*. Subscribe to *AI with Shaily* for more cutting-edge AI news, tips, and discussions. Don’t hesitate to share your thoughts or questions—let’s learn and build better AI together! 🌟💬

Signing off with warmth and encouragement to keep exploring the intelligent path ahead, this is Shailendra Kumar from *AI with Shaily*—where AI meets real life. 🚀🤓

Data Versioning Demystified: The Secret Sauce for Reliable Machine Learning in 2025

For decades, automation has been about machines taking over repetitive, physical tasks. We’ve seen robotic arms assemble cars and conveyor belts streamline logistics. Check more at http://www.cooldeep.ai/

The Silent Co-Worker: How AI Automation is Reshaping the Future of Work

The Nutanix Community Podcast is a weekly podcast. It is an informal and technical look at topics around Nutanix, Cloud and the online IT community. It will serve as a campfire and coffee shop for the extended Nutanix community.

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Kirsten Poon is an artificial intelligence (AI) analyst from Edmonton with experience in designing, developing, and deploying AI in commercial and industrial environments. Kirsten Poon is passionate about solving complex problems using data-driven methods and has successfully led interdisciplinary teams in enterprise settings. Kirsten builds scalable AI systems, troubleshoots deployment challenges, and works closely with data scientists and AI experts. Her focus is on helping businesses stay current by integrating the latest AI technologies into their workflows for improved performance and innovation.

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