MLOps Coffee Sessions #143 with Jill Chase & Manmeet Gujral, Investing in the Next Generation of AI & ML. // Abstract Investors are currently focusing on developer tooling and the foundational AI model movement, as they have seen explosive growth in this area. This podcast explores the impact of foundational models on investment thesis and the future of machine learning operations. The discussion also touches on the idea of generative AI and large language models, and their potential imp...
Jan 31, 2023•41 min•Season 1Ep. 143
MLOps Coffee Sessions #142 with Murtuza Shergadwala, Approaches to Fairness and XAI, co-hosted by Abi Aryan. This episode is sponsored by Fiddler AI. // Abstract The field of Explainable Artificial Intelligence (XAI) is continuously evolving, with an increasing focus on providing model-centric explanations in a human-centric manner. However, better frameworks and training for users are needed to fully utilize the potential of XAI tools. Additionally, there is a discrepancy in the approach to fai...
Jan 24, 2023•39 min•Season 1Ep. 142
MLOps Coffee Sessions #141 with Stephen Bailey, Airflow Sucks for MLOps, co-hosted by Joe Reis. // Abstract Stephen discusses his experience working with data platforms, particularly the challenges of training and sharing knowledge among different stakeholders. This talk highlights the importance of having clear priorities and a sense of practicality and mentions the use of modular job design and data classification to make it easier for end users to understand which data to use. Stephen also me...
Jan 17, 2023•52 min•Season 1Ep. 141
MLOps Coffee Sessions #140 with Sakib Dadi, The Evolution of ML Infrastructure sponsored by Wallaroo. // Abstract The toolkit and infrastructure empowering machine learning practitioners are advancing as ML adoption accelerates. We'll go through the current landscape of ML tooling, startups, and new projects from an investor's perspective. // Bio Sakib is a vice president in the San Francisco office, where he primarily focuses on early-stage investments in developer platforms, data infrastructur...
Jan 10, 2023•52 min•Season 1Ep. 140
MLOps Coffee Sessions #139 with Alex Ratner, Putting Foundation Models to Use for the Enterprise, co-hosted by Abi Aryan, sponsored by Snorkel AI . // Abstract Foundation models are rightfully being compared to other game-changing industrial advances like steam engines or electric motors. They’re core to the transition of AI from a bespoke, less predictable science to an industrialized, democratized practice. Before they can achieve this impact, however, we need to bridge the cost, quality, and ...
Jan 03, 2023•52 min•Season 1Ep. 139
MLOps Coffee Sessions #138 with Dattaraj Rao, Explainability in the MLOps Cycle, co-hosted by Vishnu Rachakonda. // Abstract When it comes to Dattaraj's interests, you'll hear about his top 3 areas in Machine Learning. What he sees as up and coming, what he's investing his company's time into, and where he invests his own time. Learn more about rule-based systems, deploying rule-based systems, and how to incorporate systems into more systems. There is no difference between ML systems and deployi...
Dec 27, 2022•41 min•Season 1Ep. 138
MLOps Coffee Sessions #137 with Niklas Kühl, Machine Learning Operations — What is it and Why Do We Need It? co-hosted by Abi Aryan. // Abstract The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production. However, it is highly challenging to automate and operationalize ML products, and thus, many ML endeavors fail to deliver on their expectations. The paradigm of Machine Learning Operations (MLOps) addresses this issue. // Bio...
Dec 20, 2022•59 min•Season 1Ep. 137
MLOps Coffee Sessions #136 with Andrew Dye, Systems Engineer, Navigating the World of ML, co-hosted by David Aponte. // Abstract We don't hear that much about working at a very low level on this podcast, but they are still very valid. Andrew is able to give us his take on why and what you need to keep in mind when you are working at these low levels, and why it is very important when you are a Machine Learning Engineer, and how the two can play together nicely. Most MLOps teams are formed using ...
Dec 13, 2022•40 min•Season 1Ep. 136
MLOps Coffee Sessions #135 with Sasha Ovsankin and Rupesh Gupta, Real-time Machine Learning: Features and Inference, co-hosted by Skylar Payne. // Abstract Moving from batch/offline Machine Learning to more interactive "near" real-time requires knowledge, team, planning, and effort. We discuss what it means to do real-time inference and near-real-time features, when to make this move, what tools to use, and what steps to take. // Bio Sasha Ovsankin Sasha is currently a Tech Lead of Machine Learn...
Dec 09, 2022•52 min•Season 1Ep. 135
MLOps Coffee Sessions #134 with Jeremy Thomas Jordan, Building Threat Detection Systems: An MLE's Perspective, co-hosted by Vishnu Rachakonda. Join the Community: https://go.mlops.community/YTJoinIn ...
Dec 06, 2022•50 min•Season 1Ep. 134
MLOps Coffee Sessions #133 {Podcast BTS} with Chip Huyen, Real-time Machine Learning with Chip Huyen, co-hosted by Vishnu Rachakonda. Join the Community: https://go.mlops.community/YTJoinIn ...
Nov 22, 2022•59 min•Season 1Ep. 133
MLOps Coffee Sessions #132 {Podcast BTS} with Ian Schweer, What is Data / ML Like on League? co-hosted by Skylar Payne. Join the Community: https://go.mlops.community/YTJoinIn ...
Nov 15, 2022•1 hr 1 min•Season 1Ep. 132
MLOps Coffee Sessions #131 {Podcast BTS} with Ethan Rosenthal, Let's Continue Bundling into the Database, co-hosted by Mike Del Balso. Join the Community: https://go.mlops.community/YTJoinIn ...
Nov 08, 2022•52 min•Season 1Ep. 131
MLOps Coffee Sessions #130 {Podcast BTS} with Andrew Yates, Adversarial MLOps on Other People's Money: Lessons Learned from Ad Tech, co-hosted by Abi Aryan. Join the Community: https://go.mlops.community/YTJoinIn ...
Oct 31, 2022•45 min•Season 1Ep. 130
MLOps Coffee Sessions #129 {Podcast BTS} with Catherin Breslin, Voice and Language Tech co-hosted by Adam Sroka. Join the Community: https://go.mlops.community/YTJoinIn ...
Oct 21, 2022•50 min•Season 1Ep. 129
MLOps Coffee Sessions #128 with Simon Thompson, Managing Machine Learning Projects, co-hosted by Abi Aryan. // Abstract It's a cliche to say that choosing and running the algorithms is only a small part of a typical ML project, but despite that, it's true! Setting up and organizing the project, dealing with the data asset, getting to the heart of the business problem, assessing and choosing the models, and integrating them with the business processes in production are all at least as time-consum...
Oct 19, 2022•45 min•Season 1Ep. 128
MLOps Coffee Sessions #127 with Niall Murphy & Todd Underwood, Reliable ML co-hosted by David Aponte. Join the Community: https://go.mlops.community/YTJoinIn ...
Oct 07, 2022•1 hr 2 min•Season 1Ep. 127
MLOps Coffee Sessions #126 with George Mathew, ML Unicorn Start-up Investor, Tells-IT-All. Join the Community: https://go.mlops.community/YTJoinIn ...
Oct 04, 2022•51 min•Season 1Ep. 126
MLOps Coffee Sessions #125 with Rafael Pierre, Deploying Real-time ML Models in Minutes with Databricks Model Serving V2, co-hosted by Ryan Russon. Join the Community: https://go.mlops.community/YTJoinIn ...
Sep 30, 2022•55 min•Season 1Ep. 125
Lightning Sessions #2 with Aparna Dhinakaran, Co-Founder and Chief Product Officer, and Jason Lopatecki, CEO and Co-Founder of Arize. Lightning Sessions is sponsored by Arize // Abstract Monitoring embeddings on unstructured data is not an easy feat, let's be honest. Most of us know what it is but don't understand it one hundred percent. Thanks to Aparna and Jason of Arize for breaking down embedding so clearly. At the end of this Lightning talk, we get to see a demo of how Arize deals with unst...
Sep 27, 2022•11 min•Season 1Ep. 2
MLOps Coffee Sessions #124 with Kush Varshney, Distinguished Research Staff Member and Manager, IBM Research, Trustworthy Machine Learning, co-hosted by Krishnaram Kenthapadi. Join the Community: https://go.mlops.community/YTJoinIn ...
Sep 21, 2022•59 min•Season 1Ep. 124
MLOps Coffee Sessions #123 with Gleb Abroskin, Machine Learning Engineer at Funcorp, RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day, co-hosted by Jake Noble. Join the Community: https://go.mlops.community/YTJoinIn ...
Sep 16, 2022•52 min•Season 1Ep. 123
MLOps Coffee Sessions #122 with Hannes Hapke, Machine Learning Engineer at Digits Financial, Inc., Scaling Similarity Learning at Digits, co-hosted by Vishnu Rachakonda. Join the Community: https://go.mlops.community/YTJoinIn...
Sep 09, 2022•57 min•Season 1Ep. 122
MLOps Coffee Sessions #121 with Luis Ceze, CEO and Co-founder of OctoML, Bringing DevOps Agility to ML, co-hosted by Mihail Eric. Join the Community: https://go.mlops.community/YTJoinIn...
Sep 06, 2022•1 hr 5 min•Season 1Ep. 121
MLOps Coffee Sessions #120 with David Stein, Senior Staff Software Engineer at LinkedIn, Feathr: LinkedIn's Enterprise-Grade, High-Performance Feature Store, co-hosted by Skylar Payne. Join the Community: https://go.mlops.community/YTJoinIn...
Sep 02, 2022•54 min•Season 1Ep. 120
SlackMLOps Coffee Sessions #119 with Hien Luu, Sr. Engineering Manager of DoorDash, MLOps at DoorDash: 3 Principles for Building an ML Platform That Will Sustain Hypergrowth, co-hosted by Skylar Payne. Join the Community: https://go.mlops.community/YTJoinIn...
Aug 30, 2022•46 min•Season 1Ep. 119
MLOps Coffee Sessions #118 with Olalekan Elesin, Director of Data Platform & Data Architect at HRS Product Solutions GmbH, co-hosted by Vishnu Rachkonda. Join the Community: https://go.mlops.community/YTJoinIn...
Aug 26, 2022•53 min•Season 1Ep. 118
MLOps Coffee Sessions #117 with Chad Sanderson, Head of Product, Data Platform at Convoy, Data Engineering for ML, co-hosted by Josh Wills. Join the Community: https://go.mlops.community/YTJoinIn...
Aug 19, 2022•58 min•Season 1Ep. 117
MLOps Coffee Sessions #116 with Shawn Kyzer, Principal Data Engineer at Thoughtworks (Spain), Scaling Machine Learning with Data Mesh, co-hosted by Adam Sroka. Join the Community: https://go.mlops.community/YTJoinIn...
Aug 17, 2022•54 min•Season 1Ep. 116
MLOps Coffee Sessions #115 with Flaviu Vadan, Senior Software Engineer at Dyno Therapeutics, How Hera is an Enabler of MLOps Integrations, co-hosted by Vishnu Rachakonda. Join the Community: https://go.mlops.community/YTJoinIn...
Aug 14, 2022•42 min•Season 1Ep. 115
