MLOps.community

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

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Episodes

MLOps.community meetup #9 with Charles Martin - 10 Years Deploying Machine Learning in the Enterprise: The Inside Scoop!

MLOps.community meetup #9 with Charles Martin - 10 years deploying Machine Learning in the Enterprise: The Inside Scoop!    Why do some machine learning projects succeed while others fall down completely?   In this discussion, we will discuss the real-world challenges that Enterprises face in deploying ML solutions, focussing on challenges with existing, legacy dev-ops environments and how certain patterns of success emerge to help combat failure.     Dr. Marti...

May 14, 2020•1 hr 3 min•Season 1Ep. 9

MLOps.community #10 - MLOps - The Blind Men and the Elephant with Saurav Chakravorty

Meet up #10 Saurav Chakravorty sat down with us to talk about his vision of how MLOps reflect the old Indian story of blind men and an Elephant. As a lead data scientist at Brillo Saurav has build many MLOps pipelines and experienced using different ML platforms. He comes to talk with us about the difficulties of taking an ML platform from infancy to production and other key factors he has seen within the MLOps space.    Today data science is a field that is an aggregation of people fr...

May 08, 2020•55 min•Season 1Ep. 10

MLOps.community meetup #8: Optimizing your ML workflow with Kubeflow 1.0 with Josh Bottom VP of Arrikto

Linkedin, Spotify, Volvo, JP Morgan, and many other market leaders are leveraging Kubeflow to simplify the creation and the efficient deployment of Machine Learning models on Kubernetes.  This presentation will provide an update on the Kubeflow 1.0 release, and review the Community’s best practices to support Critical User Journeys, which optimize ML workflows. As a data scientist will often need to build (and save) hundreds of variants of their model, this session will provide a deeper div...

May 01, 2020•1 hr 4 min•Season 1Ep. 8

MLOps meetup #7- Machine Learning and Open Banking with Alex Spanos of TrueLayer

What does the MLOps pipeline at London Based FinTech startup TrueLayer look like?   London Based Fintech start-up TrueLayer decided to use Machine Learning instead of a rule-based system in mid-2019 and in our 7th meetup we spoke to their lead data scientist Alex Spanos about everything that entailed.   During the meetup, we dove into how TrueLayer architected their MLOps pipeline for their Open Banking API: more specifically which tools they use and why, what prompted them to use...

Apr 24, 2020•57 min•Season 1Ep. 7

MLOps.community #6 - Mid Scale Production Feature Engineering with Dr. Venkata Pingali

In our 6th meetup, we spoke with the CEO of Scribble Data Dr. Venkata Pingali. Scribble helps build and operate production feature engineering platforms for sub-fortune 1000 firms. The output of the platforms is consumed by data science and analytical teams. In this talk we discuss how we understand the problem space, and the architecture of the platform that we built for preparing trusted model-ready datasets that are reproducible, auditable, and quality checked, and the lessons learned in the ...

Apr 16, 2020•59 min•Season 1Ep. 6

MLOps.community #5 - High Stakes ML: Latent Conditions and Active Failures with Flavio Clesio

In our 5th meetup, we spoke with the Brasilian ML Engineer Flavio Clesio. Machine Learning Systems play a huge role in several businesses from the Banking industry to recommender systems in entertainment applications until health domains. The era of " A Data Scientist with a Script in a single machine " is officially over in high stakes ML. We're entering an era of Machine Learning Operations (MLOps) where those critical applications that impact society and businesses need to be aware of aspects...

Apr 15, 2020•55 min•Season 1Ep. 5

MLOps.community #4 - Building an ML platform @SurveyMonkey with Shubhi Jain

MLOps Community Meetup #4 With Shubhi Jain In the 4th online meetup for our MLOps.community We spoke with Shubhi Jain, Machine Learning Engineer and an all-around great guy!  Every organization is leveraging machine learning (ML) to provide increasing value to their customers and understand their business. You may have created models too. But, how do you scale this process now? In this case study, we looked at how to pinpoint inefficiencies in your ML data flow, how SurveyMonkey tackled thi...

Apr 10, 2020•58 min•Season 1Ep. 4

Hierarchy of Machine Learning Needs // Phil Winder // MLOps Meetup #3

MLOps community meetup #3! Last Wednesday we talked to Phil Winder, CEO, Winder Research. //Abstract Phil Winder of Winder Research joined us for the 3rd instalment of our MLOps community meetup. In this clip taken from the long conversation, he speaks about why or why not he sees companies automating the retraining of Machine Learning Models. You can find the whole conversation here: https://www.youtube.com/watch?v=MRES5IxVnME   The topic of conversation for our virtual meetup was an in-de...

Apr 03, 2020•57 min•Season 1Ep. 3

What Does Best in Class AI/ML Governance Look Like in Financial Services? // Charles Radclyffe // MLOps Meetup #2

MLOps community meetup #2! Last Wednesday we talked to Charles Radclyffe, Technology Governance and ESG Specialist, AI Ethics. What does best in class AI/ML governance look like in financial services? For this episode, we are joined by Charles Radclyffe, who until very recently was the Head of AI at Fidelity. Some of his other feats include starting 3 companies, TEDx talks, and advising the likes of HSBC, Barclays, Morgan & Stanley, and Deutsche Bank. He has focused his career on solving tou...

Mar 26, 2020•1 hr 2 min•Season 1Ep. 2

Our 1st MLOps Meetup // Luke Marsden // MLOps Meetup #1

The 1st MLOps.community meetup on 3.18.2020 featuring Luke Marsden from Dotscience. What is MLOps and how can it help me work remotely? The first episode of our weekly MLOps community virtual meetup with CEO and founder of the MLOps platform dotscience Luke Marsden talk to us about the current state of Machine Learning, what some of the main difficulties are at this stage when developing models, how the machine learning lifecycle differs from traditional software development and a deep dive of c...

Mar 23, 2020•34 min•Season 1Ep. 1

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