Launched! Applied ML podcast is LIVE on Spotify

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Introducing the Applied ML podcast, a new series that delves into the challenges of bringing machine learning to production, quickly and consistently. Hosted by Rex Lam, engineering director at Autodesk, this podcast targets anyone interested in the latest technologies, processes, and practices of applying machine learning to real-world scenarios.The title "Applied ML" reflects the focus of the podcast on practical, hands-on experiences with machine learning in production environments. By exploring the unique experiences and perspectives of industry leaders and experts, Applied ML aims to de-mystify the complexities of machine learning and provide insights into the emerging innovations and industry trends in this rapidly evolving field.

In each episode, Rex Lam will be chatting with machine learning professionals and experts, drawing on their real-world experiences to explore the most pressing issues facing the industry today. From data management and infrastructure to monitoring and maintaining ML models, the podcast will cover a wide range of topics that are essential for any organization looking to implement machine learning in their operations.Applied ML does not represent views of Autodesk or any other organization. It's an effort to connect experts, thought leaders, and the community. By connecting with experts and thought leaders in the industry, the podcast provides a unique opportunity to learn from the experiences of others and gain valuable insights into the latest technologies and practices in the field.So, whether you're a researcher, data scientist, software engineer, or product leader, Applied ML podcast is a great way to stay up to date on the latest developments in the field of machine learning. Be sure to tune in to the first episode, where Rex Lam speaks with Demetrios Brinkmann about his experience building and coordinating mlops.community, an online community dedicated to solving challenges in building production AI/ML solutions.

Episode 1: Success & Challenges in MLOps - Demetrios Brinkmann   Join Rex Lam and Demetrios Brinkmann in the inaugural episode of the Applied ML podcast, where they delve into the challenges and practical lessons of bringing machine learning to production. Demetrios shares his career journey that led him to create and coordinate mlops.community, an online community dedicated to learning and addressing challenges in building production AI/ML solutions.During the conversation, Demetrios highlights the common challenges faced by industry experts in deploying machine learning models to production, and shares insights into how to overcome them. From managing infrastructure and deploying models to monitoring and maintaining them, Demetrios sheds light on the best practices that can be implemented to ensure the success of AI/ML projects in production.If you're interested in learning more about the complexities of building production-grade AI/ML systems and the lessons learned from industry experts, this episode is a must-listen!

Episode 2: Trustworthy AI - Cal Al-Dhubaib   In this episode of Applied ML, Rex Lam speaks with Cal Al-Dhubaib, a data scientist, entrepreneur, and innovator in the field of artificial intelligence. As the founder and CEO of Pandata, a consulting company that helps organizations design and develop AI-powered solutions to complex business problems, Cal is deeply committed to promoting diversity and ethics in AI.During the conversation, Cal shares his insights on the challenges of building trust and navigating ethics in AI, particularly in the context of the growing use of generative AI. He reflects on the current state of the field and describes what he sees as a banner year for AI. At the same time, he also discusses the potential risks associated with the deployment of large foundational models and highlights the importance of considering the social ethical implications of AI in decision-making.

Links:

• Applied ML Podcast (Spotify)
• MLOps Community