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MLOps Live is a biweekly Q&A show where practitioners doing ML at a reasonable scale answer questions from other ML practitioners. Every episode focused on one specific subject related to MLOps. Only the juicy bits, the things you won’t find in a company blog post.
 
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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 …
 
Subscribe to our YouTube channel to watch this episode! Learn more about Itay Ben Haim: Itay's LinkedIn Episode Resources: Superwise Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune.ai Previous guests include: …
 
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 practicalit…
 
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 S…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Vishnu Rachakonda: Vishnu's LinkedIn Episode Resources: Vishnu's Publication firsthand's Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune…
 
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 predi…
 
MLOps Coffee Sessions #138 with Dattaraj Rao, Explainability in the MLOps Cycle co-hosted by Vishnu Rachakonda. // Abstract When it comes to Dattaraj's interest, 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-b…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Shirsha Ray Chaudhuri: Shirsha's LinkedIn Episode Resources: Shirsha's Publication TR Labs' Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Nept…
 
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 product…
 
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 a…
 
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-ti…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Laszlo Sragner: Laszlo's LinkedIn Laszlo's Twitter Episode Resources: Laszlo’s Newsletter Hypergolic's Website Refactoring the Titanic If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new …
 
MLOps Coffee Sessions #134 with Jeremy Thomas Jordan, Building Threat Detection Systems: An MLE's Perspective co-hosted by Vishnu Rachakonda. // Abstract There is a clear pattern that we have been seeing with some of these greats in MLOps. So many use writing as a forcing function to learn about where they have holes in their understanding of somet…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Simon Stiebellehner: Simon’s LinkedIn Piotr's LinkedIn Episode Resources: TMNL's Website neptune.ai's Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more …
 
MLOps Coffee Sessions #133 {Podcast BTS} with Chip Huyen, Real-time Machine Learning with Chip Huyen co-hosted by Vishnu Rachakonda. // Abstract Forcing functions and how you can supercharge your learning by putting yourself into a situation where you know you either have a responsibility to others to learn or accountability on you so you have to l…
 
MLOps Coffee Sessions #132 {Podcast BTS} with Ian Schweer, What is Data / ML Like on League? co-hosted by Skylar Payne. // Abstract If you're not an avid gamer yourself, you have never really seen how ML might be used in the gaming space. It's so interesting to see the things that are different like full stories of players' games from start to fini…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Phil Basford: Phil’s LinkedIn Phil’s Twitter Episode Resources : Inawisdom's Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune.ai Previous…
 
MLOps Coffee Sessions #131 {Podcast BTS} with Ethan Rosenthal, Let's Continue Bundling into the Database co-hosted by Mike Del Balso. // Abstract The relationship between ML Engineers and Product Managers is something that we don't talk about enough. We've got to get this right. If we don't get this right, either you're not focusing on the business…
 
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. // Abstract Design ML to be components in a larger system with stable interfaces is not tracible to monitor the entire stack as a black box. You need intermediate ground-truth signals. Ads are d…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Chaoyu Yang: Chaoyu’s LinkedIn Chaoyu’s Twitter Episode Resources: BentoML’s Website BentoML’s Github If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Ne…
 
MLOps Coffee Sessions #129 {Podcast BTS} with Catherin Breslin, Voice and Language Tech co-hosted by Adam Sroka. // Abstract Back in the day, Speech Recognition was its own thing. It's a very different flavor of Data Science. You could not use a lot of the tools. It wouldn't cross over to this type of machine learning. Now, with the advancements, S…
 
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 …
 
Subscribe to our YouTube channel to watch this episode! Learn more about Duarte Carmo: Duarte’s LinkedIn Duarte’s Twitter Episode Resources: Duarte’s Website Amplemarket Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit…
 
MLOps Coffee Sessions #127 with Niall Murphy & Todd Underwood, Reliable ML co-hosted by David Aponte. // Abstract By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable …
 
MLOps Coffee Sessions #126 with George Mathew, ML Unicorn Start-up Investor Tells-IT-All. // Abstract What's so enticing about enterprise software? It's incredible to see George's idea and vision to invest in generationally enduring companies. Let's look at the way how George likes to structure deals with companies while he's reviewing them and let…
 
MLOps Coffee Sessions #125 with Rafael Pierre, Deploying Real-time ML Models in Minutes with Databricks Model Serving V2 co-hosted by Ryan Russon. // Abstract From our experience helping customers in the Data and AI field, we learned that the most challenging part of Machine Learning is deploying it. Putting models into production is complex and re…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Amber Roberts: Adam’s LinkedIn Adam’s Twitter Episode Resources: Adam’s Medium Telepath.io Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptu…
 
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 A…
 
MLOps Coffee Sessions #124 with Kush Varshney, Distinguished Research Staff Member and Manager IBM Research, Trustworthy Machine Learning co-hosted by Krishnaram Kenthapadi. // Abstract Trustworthy ML is a way of thinking and something to be worked on and operationalized throughout the entire machine learning development lifecycle, starting from th…
 
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. // Abstract FunCorp was a top 10 app store. It was a very popular app that has a ton of downloads and just memes. They need a recommendation system on top of that. Memes are super t…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Amber Roberts: Amber’s LinkedIn Amber’s Twitter Episode Resources: Arize’s LinkedIn Arize’s blog If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune…
 
MLOps Coffee Sessions #122 with Hannes Hapke, Machine Learning Engineer at Digits Financial, Inc., Scaling Similarity Learning at Digits co-hosted by Vishnu Rachakonda. // Abstract Machine Learning in a product is a double-edged sword. It can make a product more useful but it depends on assumed and strictly defined behavior from users. Hannes walks…
 
MLOps Coffee Sessions #121 with Luis Ceze, CEO and Co-founder of OctoML, Bringing DevOps Agility to ML co-hosted by Mihail Eric. // Abstract There's something about this idea where people see a future where you don't need to think about infrastructure. You should just be able to do what you do and infrastructure happens. People understand that ther…
 
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. // Abstract When David started building Feathr, Feature Stores did not exist. That was not a term floating around at all. This was definitely one of the OG Feature St…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Adam: Adam’s LinkedIn Adam’s Twitter Episode Resources: Origami’s LinkedIn Origami’s Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune.ai …
 
MLOps 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. // Abstract Machine Learning plays a big part at DoorDash in terms of what they do on a daily basis. It powers many of their core infrastructures. When it…
 
MLOps Coffee Sessions #118 with Olalekan Elesin, Director of Data Platform & Data Architect at HRS Product Solutions GmbH, co-hosted by Vishnu Rachkonda. // Abstract You don't have infinite resources? Call out your main metrics! Focus on the most impactful things that you could do for your data scientists. Olalekan joined us to talk about his exper…
 
MLOps Coffee Sessions #117 with Chad Sanderson, Head of Product, Data Platform at Convoy, Data Engineering for ML co-hosted by Josh Wills. // Abstract Data modeling is building relationships between core concepts within your data. The physical data model shows how the relationships manifest in your data environment but then there's the semantic dat…
 
MLOps Coffee Sessions #116 with Shawn Kyzer, Principal Data Engineer at Thoughtworks (Spain), Scaling Machine Learning with Data Mesh co-hosted by Adam Sroka. // Abstract You can't just get something done by using tools. You need to go much deeper than that and it is very clear that Data Mesh is the same thing. You have to educate the organization …
 
Subscribe to our YouTube channel to watch this episode! Learn more about Andy: Andy’s LinkedIn Andy’s Twitter Episode Resources: NatWest Group’s LinkedIn NatWest Group’s Website AI Right Podcast If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To…
 
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. // Abstract Flaviu talks about the internal ML platform at Dyno Therapeutics called Hera. His team uses Hera as an internal innovation engine to help discover new breakthroughs wit…
 
MLOps Coffee Sessions #114 with Marc Lindner, Co-Founder COO and Amr Mashlah, Head of Data Science of eezylife Inc., Product Enrichment and Recommender Systems co-hosted by Skylar Payne. // Abstract The difficulties of making multi-modal recommender systems. How it can be easy to know something about a user but very hard to know the same thing abou…
 
MLOps Coffee Sessions #113 with Leanne Fitzpatrick, Director of Data Science of Financial Times, Building Better Data Teams co-hosted by Mihail Eric. // Abstract We spent a lot of time talking about data tooling but we maybe spent not as much time talking about data organizations and efficiently running and organizing data teams. What about startin…
 
MLOps Coffee Sessions #112 with Xiangrui Meng, Principal Software Engineer of Databricks, MLX: Opinionated ML Pipelines in MLflow co-hosted by Vishnu Rachakonda. // Abstract MLX is to enable data scientists to stay mostly within their comfort zone utilizing their expert knowledge while following the best practices in ML development and delivering p…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Mateusz: Mateusz’s LinkedIn Brainly's LinkedIn Brainly's Website If you enjoyed this episode, then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune.ai Previous guests include: An…
 
MLOps Coffee Sessions #111 with Samuel Partee, Principal Applied AI Engineer of Redis, More than a Cache: Turning Redis into a Composable, ML Data Platform co-hosted by Mihail Eric. This episode is sponsored by Redis. // Abstract Pushing forward the Redis platform to be more than just the web-serving cache that we've known it up to now. It seems li…
 
MLOps Coffee Sessions #110 with David Bayliss, Chief Data Scientist of LexisNexis Risk Solutions, Just Fetch the Data and then... co-hosted by Vishnu Rachakonda. // Abstract Composing data to extract features can be a significant problem. Key factors are the data size, compliance restrictions, and real-time data. Ethics (and law) can drive extremel…
 
MLOps Coffee Sessions #109 with Ketan Umare, Co-founder and CEO of Union.ai, Why You Need More Than Airflow co-hosted by George Pearse. // Abstract Airflow is a beloved tool by data engineers and Machine Learning Engineers alike. But when doing ML what are the shortcomings and why is an orchestration tool like that not always the best developer exp…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Michal: Michal’s LinkedIn deepsense.ai LinkedIn deepsense.ai Website If you enjoyed this episode, then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune.ai Previous guests include…
 
MLOps Coffee Sessions #108 with Byron Allen, AI & ML Practice Lead at Contino, ML Flow vs Kubeflow 2022 co-hosted by George Pearse. // Abstract The amazing Byron Allen talks to us about why MLflow and Kubeflow are not playing the same game! ML flow vs Kubeflow is more like comparing apples to oranges or as he likes to make the analogy they are both…
 
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