From Virtualization to AI Integration // Lamia Youseff // # 175

Sep 12, 2023

Lamia Youseff, an AI expert with extensive experience in academia and large tech companies, discusses the challenges faced by companies in integrating AI effectively. She explores the similarities between the early days of cloud computing and the current AI movement, emphasizing the need for a unifying layer in ML workloads. The concept of jazz computing is introduced as a means to connect investors, Fortune 500 companies, SMBs, and startups in the AI field. Collaboration and the importance of stakeholders working together to advance AI are emphasized.

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Introduction

00:00 • 3min

From AI Enthusiast to Cloud Engineer

02:55 • 14min

The Early Days of Virtualization and Cloud Technology

16:38 • 7min

Parallels between the Early Days of Cloud and the Current AI Movement

23:21 • 2min

Building a Unifying Layer for MLOps on Kubernetes

25:14 • 21min

Exploring the Concept of Jazz Computing and Connecting Investors, Fortune 500, SMBs, and Startups in the AI Field

46:26 • 4min

Jazz Computing and Collaborative Advancements in AI

50:08 • 2min

MLOps Coffee Sessions #175 with Lamia Youseff, From Virtualization to AI Integration. // Abstract Lamia discusses how both Fortune 500 companies and SMBs lack the knowledge and capabilities to identify which use cases in their systems can benefit from AI integration. She emphasizes the importance of helping these companies integrate AI effectively and acquire the necessary capabilities to stay competitive in the market. // Bio By way of an introduction, Dr. Lamia Youseff has been working in AI / ML for ~25 years, first in academia (MIT, Stanford, UCSB), then large tech (Google, Microsoft, Apple, and Facebook), and most recently with startups in Generative AI. She is currently the executive director of JazzComputing, a Visiting Research Scientist at Stanford University in Computer Science and AI, and a research affiliate with MIT Computer Science and Artificial Intelligence Lab (CSAIL). Dr. Youseff earned her Ph.D. in computer science by studying computationally intensive workloads (such as AI / ML and HPC / Scientific Codes) and has built/led several AI teams as an executive and leader at large tech companies over the years (Google, Facebook, Microsoft, and Apple). She also earned her Master's in business management, strategy, and leadership from Stanford Graduate School of Business (GSB), where she is a guest lecturer today. Dr. Youseff regularly writes and speaks about AI and Machine Learning evolution at CIO/CTO/CEO summits. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links ⁠ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Lamia on LinkedIn: https://www.linkedin.com/in/lyouseff/ Timestamps: [00:00] Lamia's preferred coffee [01:12] Takeaways [03:00] Please like, share, and subscribe to our MLOps channels! [03:20] Lamia's background [09:52] Getting into Google Cloud [13:10] The Google Cloud project [16:38] The world before Kubernetes [19:25] Evolution of virtualization [23:20] Cloud evolution [28:13] Kubernetes enables the ecosystem [32:38] Multiple systems for machine learning [34:40] Standardization to a greater good [39:50] Complexity and pain points of ML in production [46:26] JazzComputing [50:33] Bridging gaps in AI implementation and investment [51:19] Wrap up