MLOps Weekly Podcast Simba Khadder

This episode of our MLOps Weekly Podcast features Simba Khadder, Featureform’s CEO, where he unravels the true meaning of “real-time” machine learning. The discussion breaks down real-time ML into three core aspects: latency, online serving, and real-time features. Simba also covers:
How latency impacts the speed of ML systemsThe distinctions between online and offline modelsReal-time features and the importance of a balance between data freshness and latencyThis podcast will give listeners a better understanding of these concepts and apply them to their own ML projects.

In this episode of the MLOps Weekly Podcast, Featureform CEO Simba Khadder and Outerbounds CEO Ville Tuulos engage in a fascinating conversation about the evolution of ML and AI infrastructure, focusing on the inception and development of Metaflow at Netflix, its impact on machine learning operations, and the establishment of Outerbounds. The discussion delves into the challenges and solutions in ML operations, offering insights into the future of artificial intelligence applications in business and beyond. They also deep dive into the innovative approaches to scaling ML projects, emphasizing practicality and efficiency in the fast-evolving tech landscape.

This episode of the MLOps Weekly Podcast delves into the intricate journey from academic research in AI to its practical application in industry, highlighting the challenges of bridging theoretical concepts with real-world solutions. CEO and founder of Manot, Chinar Movsisyan, and Featureform CEO Simba Khadder discuss the evolution of MLOps practices, emphasizing the importance of collaboration across diverse teams to innovate and scale AI technologies. Through engaging stories and insights, listeners are offered a deep dive into the strategies for deploying, managing, and improving machine learning models, showcasing the critical role of MLOps in advancing AI's impact in various sectors.

In this episode, we delve into the evolving landscape of AI with Sahil Agarwal, Enkrypt AI's CEO, focusing on the paramount importance of security, privacy, and governance. Through a discussion rich with insights, we uncover the strategies and challenges faced by organizations in safeguarding data and ethical considerations in AI deployment. The conversation highlights innovative solutions and the critical need for robust frameworks to navigate the complexities of AI integration in our digital age, emphasizing the balance between innovation and ethical responsibility.

In this episode of MLOps Weekly, host Simba Khadder engages with Eero Laaksonen, CEO of Valohai, to explore the intricacies of end-to-end MLOps platforms. They discuss the challenges and solutions in machine learning operations, delving into topics like proprietary vs. open-source tools, operational efficiency, and the evolving role of large language models in the MLOps domain.

For Episode 23 of the MLOps Weekly Podcast, Simba chats with Maxim Lukichev, Co-founder and CTO at Telmai. They discuss the importance of a proactive approach to data quality, improving collaboration on data teams, and the critical value of Data Ops in Large Language Models.