Join us for special episode of the MLOps Weekly Podcast, an hour long chat with Ben Epstein, MLE at Evolution IQ and co-host of the bi-weekly MLOps Community Virtual meetups, and Featureform CEO Simba Khadder as they reflect on the key developments in MLOps throughout 2024 and look at what trends and challenges to anticipate in 2025! The discussion will center around the integration of Large Language Models (LLMs) and their substantial influence on both MLOps and LLMOps methodologies.

Key topics include:

• Best practices and cutting-edge architectures in MLOps
• Where MLOps meets LLMOps: key trends and areas of convergence
• Forecasting the MLOps landscape for 2025

In this episode of the "MLOps Weekly" podcast, host Simba Khadder talks with Paul Iusztin, a Senior ML and MLOps Engineer at Decoding ML, about his journey from software engineering to MLOps. They discuss the integration of software engineering principles in ML, the challenges of writing tests for ML applications, and the key differences between software and ML engineering. Paul shares insights on building scalable and reproducible MLOps platforms, emphasizing the importance of decoupling feature, training, and inference pipelines. They also explore the convergence of MLOps and LLMOps, highlighting the unique aspects of prompt engineering. The conversation underscores the importance of robust engineering practices and continuous adaptation in the rapidly evolving AI landscape.

For the latest episode of the MLOps Weekly Podcast, join host Simba Khadder as he chats with Gautam Krishnamurthi, partner at Great Point Ventures, about the rapidly evolving world of AI and its impacts on the future of venture capital investing. They also discuss the latest trends in large language models (LLMs), venture valuations, and the impact of rising interest rates on the public markets. Gautam provides his expertise on identifying real enterprise use cases, distinguishing valuable startups amidst the noise, and the critical role of infrastructure in the machine learning landscape. Lastly, you’ll learn about the transformative power of AI, how it's reshaping industries, and what investors seek in the next wave of groundbreaking companies.

Join Featureform’s Founder and CEO, Simba Khadder, and Union CEO and co-founder, Ketan Umare, as they delve into Ketan’s journey, starting with leading the ETA models team at Lyft, the origins and evolution of Flyte, an ML workflow platform, and his latest venture, Union. The discussion also covers the importance of collaboration in AI, the future of traditional machine learning in the era of LLMs, and the potential disruptions in the software industry. Whether you're a data scientist, engineer, or AI enthusiast, this episode offers valuable perspectives on building scalable ML infrastructures and navigating the rapidly changing landscape of artificial intelligence.

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 systems
• The distinctions between online and offline models
• Real-time features and the importance of a balance between data freshness and latency

This 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.