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Past Schedule
Coffee Sessions #171
Using Large Language Models at AngelList
Coffee Sessions #170
All the Hard Stuff with LLMs in Product Development
Coffee Sessions #169
MLOps at the Age of Generative AI
Coffee Sessions #168
Experiment Tracking in the Age of LLMs
Coffee Sessions #167
Treating Prompt Engineering More Like Code
Coffee Sessions #166
Eliminating Garbage In / Garbage Out for Analytics and ML
Coffee Sessions #165
Python Power: How Daft Embeds Models and Revolutionizes Data Processing
Coffee Sessions #164
Open Source and Fast Decision Making: Rob Hirschfeld on the Future of Software Development
Coffee Sessions #162
From Arduinos to LLMs: Exploring the Spectrum of ML
Coffee Sessions #161
The Long Tail of ML Deployment
Coffee Sessions #160
Clean Code for Data Scientists
Coffee Sessions #159
Why is MLOps Hard in an Enterprise?
- Maria Vechtomova
- Basak Eskili
Meetup #124
Dataframes Are All You Need: MLOps on Easy Mode
- Jay Chia
Coffee Sessions #158
Large Language Model at Scale
- Nils Reimers
- Nils Reimers
Coffee Sessions #157
MLOps Build or Buy, Startup vs. Enterprise?
Coffee Sessions #154
Machine Learning Education at Uber
Coffee Sessions #155
The Birth and Growth of Spark: An Open Source Success Story
- Matei Zaharia
- Matei Zaharia
Coffee Sessions #154
ML Scalability Challenges
Meetup #123
Declarative MLOps - Streamlining Model Serving on Kubernetes
- Rahul Parundekar
Coffee Sessions #153
Multilingual Programming and a Project Structure to Enable It
Meetup #123
Tecton 0.6: Notebook-driven Development
- Jason Dunne
Coffee Sessions #151
ML in Production: A DS from Ubisoft Perspective
Coffee Sessions #150
The Future of Search in the Era of Large Language Models
Coffee Sessions #149
The Challenges of Deploying (many!) ML Models
Coffee Sessions #148
Intelligence & MLOps
Coffee Sessions #147
The Rise of Serverless Databases
Meetup #121
Let's Talk About Raw Documents
- Crag Wolfe
Coffee Sessions #146
The Ops in MLOps - Process and People
Coffee Sessions #144
Non-traditional Career Paths in MLOps
Coffee Sessions #146
Griffin, ML platform at Instacart
Coffee Sessions #143
Investing in the Next Generation of AI & ML
- Jill Chase
- Manmeet Gujral
Meetup #120
The 7 Lines of Code You Need to Run Faster Real-time Inference
- Adrian Boguszewski
Coffee Sessions #142
Approaches to Fairness and XAI
Meetup #119
How Aurora Accelerates Autonomous Vehicle ML Model Development Using Kubeflow
- Maurizio Vitale
- Vinay Anantharaman
- Ankit Aggarwal
Coffee Sessions #141
Airflow Sucks for MLOps
Coffee Sessions #140
The Evolution of ML Infrastructure
Coffee Sessions #139
Putting Foundation Models to Use for the Enterprise
Coffee Sessions #138
Explainability in the MLOps Cycle
Coffee Sessions #137
Machine Learning Operations — What is it and Why Do We Need It?
Coffee Sessions #136
Systems Engineer Navigating the World of ML
Meetup #119
The Motivation for MLOps
- Steven Fines
Coffee Sessions #134
Building Threat Detection Systems: An MLE's Perspective
Coffee Sessions #135
"Real-Time" Machine Learning: Features and Inference
- Sasha Ovsankin
- Rupesh Gupta
Meetup #119
Vertex AI Workshop
- Sascha Heyer
Coffee Sessions #133
Real-time Machine Learning with Chip Huyen
Meetup #118
Building an Open Source MLOps Stack with ZenML Part 2
- Hamza Tahir
- Hamza Tahir
Coffee Sessions #132
What is Data / ML Like on League?
Meetup #117
Driving ML Data Quality with Data Contracts
- Andrew Jones
Coffee Sessions #131
Let's Continue Bundling into the Database
Coffee Sessions #130
Adversarial MLOps on Other People's Money: Lessons Learned from Ad Tech
Meetup #116
MLOps in Practice: Common Challenges and Lessons Learned
- Marouen Hizaoui
- Mo Basirati
Coffee Sessions #129
Voice and Language Tech
Meetup #115
Creative AI - Using ML to Create Art, Music, and Jokes
- Suyash Joshi
Coffee Sessions #128
Managing Machine Learning Projects
Meetup #113
From Intractable to Interactable: Unleashing Sensitive Datasets with Distributed Data Science
- Blaise Thomson
Coffee Sessions #127
Reliable ML
- Niall Murphy
- Todd Underwood
Meetup #113
Applying DevOps Practices in Data and ML Engineering
- Antoni Ivanov
Coffee Sessions #126
ML Unicorn Start-up Investor Tells-IT-All
Coffee Sessions #125
🧱Deploying Real-time ML Models in Minutes with Databricks Model Serving V2
Coffee Sessions #124
Trustworthy Machine Learning
Coffee Sessions #123
RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day
Meetup #111
Obtain New Insights on Model Behavior with Fiddler
- Danny Brock
Coffee Sessions #122
Scaling Similarity Learning at Digits
- Hannes Hapke
- Hannes Hapke
Meetup #110
Demystifying Vertex AI: Pros, Cons, and Lessons Learned
- Pelayo Choya Carreter
Coffee Sessions #121
Bringing DevOps Agility to ML
Coffee Sessions #120
Feathr: LinkedIn's Enterprise-Grade, High Performance Feature Store
Coffee Sessions #119
MLOps at DoorDash: 3 Principles for Building an ML Platform That Will Sustain Hypergrowth
Coffee Sessions #118
How Tech Leaders Build Tech Platforms in their Companies and their Challenges
Meetup #3
Challenges in Accelerated Training and Deployment for Complex Tabular Models
- Kyle Kranen
Coffee Sessions #117
Data Engineering for ML
Meetup #109
From Expectations to Synthetic Data Generation
- Fabiana Clemente
Coffee Sessions #116
Scaling Machine Learning with Data Mesh
Meetup #2
Robust Production QA Practices for Multimodel Systems in Shifting Ground Truth and UX Environments
- Kenny Chen
Coffee Sessions #115
How Hera is an Enabler of MLOps Integrations
Coffee Sessions #114
Product Enrichment and Recommender Systems
Meetup #1
AI-Augmented R&D: Helping to Improve Recipe Generation
- Jake Luscombe
Coffee Sessions #113
Building Better Data Teams
Coffee Sessions #112
MLflow Pipelines: Opinionated ML Pipelines in MLflow
Coffee Sessions #111
More than a Cache: Turning Redis into a Composable, ML Data Platform
Coffee Sessions #110
Just Fetch the Data and then...
Coffee Sessions #109
Why You Need More Than Airflow
Meetup #108
Argo Workflows
- Kemal Tugrul Yesilbek
Coffee Sessions #108
ML Flow vs Kubeflow 2022
Meetup #107
So Fresh and So Data Clean
- Tommy Dang
Meetup #105
Code Quality in Data Science
- Laszlo Sragner
Meetup #106
DevOps, Security, and Observability in ML
- Luke Marsden
Coffee Sessions #107
Why and When to Use Kubeflow for MLOps
Coffee Sessions #106
Building a Culture of Experimentation to Speed Up Data-Driven Value
Coffee Sessions #105
Cleanlab: Labeled Datasets that Correct Themselves Automatically
Coffee Sessions #104
Future of BI
- Maxime Beauchemin
- Maxime Beauchemin
Meetup #104
FLOps with Scaleout's Open-core Platform
- Marco Capuccini
Coffee Sessions #103
Making MLflow
Meetup #104
The Post Modern Stack
- Jacopo Tagliabue
Meetup #102
Building a Movie Recommendation System on Tecton with Snowflake
- David Hershey
- David Hershey
Coffee Sessions #102
Fixing Your ML Data Blind Spots
Coffee Sessions #101
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team
Coffee Sessions #100
MLOps Critiques
Meetup #101
On Juggling, Dr. Seuss and Feature Stores for Real-time AI/ML
- Nava Levy
Coffee Sessions #99
Getting the Most Out of your AI Infrastructure
- Ronen Dar
- Gijsbert Janssen van Doorn
Coffee Sessions #98
Racing the Playhead: Real-time Model Inference in a Video Streaming Environment
Meetup #100
DataOps is a Software Engineering Challenge
- Micha Kunze
Coffee Sessions #97
Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot
Meetup #99
The Role of Resource Management in MLOps
- Ronen Dar
- Gijsbert Janssen van Doorn
Coffee Sessions #98
FastAPI for Machine Learning
Coffee Sessions #95
MLOps as Tool to Shape Team and Culture
Coffee Sessions #94
Traversing the Data Maturity Spectrum: A Startup Perspective
Meetup #98
MLOps EngineeringLabs: What We Learned Building End-to-end ML Applications on Flyte / How Flyte Orchestrates Tasks and Workflows
- Niels Bantilan
- Haytham Abuelfutuh
- Amale El Hamri
- Ali Abbas Jaffri
- Abdullahi Ahmed Omar
- Matheus Moreno
Coffee Sessions #93
Model Monitoring in Practice: Top Trends
Meetup #97
Modern Data Science with Vaex: A New Approach to DataFrames and Pipelines
- Maarten Breddels
- Jovan Veljanoski
Coffee Sessions #92
Building the World's First Data Engineering Conference
Coffee Sessions #91
The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence
Coffee Sessions #90
Bringing Audio ML Models into Production
Coffee Sessions #89
A Journey in Scaling AI
Coffee Sessions #88
ML Platform Tradeoffs and Wondering Why to Use Them
Meetup #96
Building a Modern Data Analytics Stack
- Jeff Katz
Coffee Sessions #87
Don't Listen Unless You Are Going to Do ML in Production
Coffee Sessions #86
Building ML/Data Platform on Top of Kubernetes
Coffee Sessions #85
Continuous Deployment of Critical ML Applications
Meetup #95
Applications of Data Science
- Connie Yang
Coffee Sessions #84
Lessons on ML Platforms
Coffee Sessions #83
Better Use cases for Text Embeddings
Meetup #95
Orchestrating Machine Learning Workflows with Prefect
- Kevin Kho
Coffee Sessions #82
Practitioners Guide to MLOps
- Donna Schut
- Christos Aniftos
Coffee Sessions #81
Machine Learning from the Viewpoint of Investors
- Leigh Marie Braswell
- Davis Treybig
Meetup #94
Trustworthy Data for Machine Learning
- Chad Sanderson
- Chad Sanderson
Coffee Sessions #80
The Journey from Data Scientist to MLOps Engineer
Coffee Sessions #79
Platform Thinking: A Lemonade Case Study
Coffee Sessions #78
Calibration for ML at Etsy - apply() special
- Erica Greene
- Seoyoon Park
Coffee Sessions #77
Data Mesh - The Data Quality Control Mechanism for MLOps?
Meetup #93
Building and Using an MLOps Stack with ZenML
- Hamza Tahir
- Hamza Tahir
- Hamza Tahir
Coffee Sessions #76
Build a Culture of ML Testing and Model Quality
Coffee Sessions #75
Towards Observability for ML Pipelines
- Shreya Shankar
- Shreya Shankar
Coffee Sessions #74
Scaling Biotech
Meetup #92
Just Build It! Tips for Making ML Engineering and MLOps Real
- Andy McMahon
Coffee Sessions #73
On Structuring an ML Platform 1 Pizza Team
- Matheus Frata
- Breno Costa
Coffee Sessions #72
2021 MLOps Year in Review
- Demetrios Brinkmann
- Vishnu Rachakonda
Coffee Sessions #71
Setting up an ML Platform on GCP: Lessons Learned
Coffee Sessions #70
2022 Predictions for MLOps and the Industry
Meetup #91
Complete MLOps Pipeline from Scratch to Advance
- Rohit Ghumare
Coffee Sessions #69
Building for Small Data Science Teams
Meetup #90
Building 12-Factor Data Apps with Kedro
- Ivan Danov
Coffee Sessions #68
Wikimedia MLOps
Coffee Sessions #67
ML Stepping Stones: Challenges & Opportunities for Companies
Meetup #89
ML Drift - How to Identify Issues Before They Become Problems
- Amy Hodler
Coffee Sessions #66
Machine Learning at Reasonable Scale
Meetup #88
The Not So Talked About Reasons Model Monitoring Fails
- Oren Razon
Coffee Sessions #65
The Future of Data Science Platforms is Accessibility
Meetup #87
Model Monitoring: The Million Dollar Problem
- Alexandre Domingues
- Diogo Oliveira
- Nicolás Roldán
- Bojan Ilijoski
Coffee Sessions #64
The Future of AI and ML in Process Automation
Meetup #86
Durable Data Discovery: Making Exploratory Analysis Stick
- James Campbell
Coffee Sessions #63
PyTorch: Bridging AI Research and Production
Meetup #85
Data-Centric AI Means Centralizing Training Data
- Alberto Rizzoli
Coffee Sessions #62
MLOps from Scratch
Meetup #84
MLOps at Volvo Cars
- Leonard Aukea
Coffee Sessions #61
ML Tests
Meetup #83
KServe Live Coding Session
- Theofilos Papapanagiotou
Coffee Sessions #60
Path to Productivity in Job Search and Job Recommendation AI at LinkedIn
Meetup #82
Basics of End-to-End MLOps
- Raviraja Ganta
Meetup #81
Feast Deep Dive
- Felix Wang
Coffee Sessions #59
Data Selection for Data-Centric AI: Data Quality Over Quantity
Coffee Sessions #58
10 Types of Features your Location ML Model is Missing
Meetup #80
Doing MLOps
- Noah Gift
Coffee Sessions #57
The Future of ML and Data Platforms
- Michael Del Balso
- Erik Bernhardsson
Coffee Sessions #56
A Few Learnings from Building a Bootstrapped MLOps Services Startup
Meetup #79
Engineering Best Practices for Machine Learning
- Alex Serban
Coffee Sessions #55
Learning and Teaching MLOps Applications
Meetup #78
System Design for Recommendations and Search
- Eugene Yan
Coffee Sessions #54
Machine Learning SRE
- Niall Murphy
- Niall Murphy
Meetup #77
Moldable Development with Glamorous Toolkit
- Tudor Gîrba
Coffee Sessions #53
MLOps Insights
- David Aponte
- Demetrios Brinkmann
- Vishnu Rachakonda
- Demetrios Brinkmann
Coffee Sessions #52
Vector Similarity Search at Scale
Meetup #76
Building Machine Learning Models into Docker Images
- Luke Marsden
- Luke Marsden
Meetup #75
I Don't Really Know What MLOps is, but I Think I'm Starting to Like it
- Ewan Nicolson
Coffee Sessions #51
ML Security: Why Should You Care?
Coffee Sessions #50
Creating MLOps Standards
- Alex Chung
- Srivathsan Canchi
Coffee Sessions #49
Aggressively Helpful Platform Teams
Meetup #74
Building an ML Platform from Scratch: Live Coding Session - Part 2
- Alon Gubkin
Meetup #73
The SAME Project: A Cloud Native Approach to Reproducible Machine Learning
- David Aronchick
Coffee Sessions #48
Tour of Upcoming Features on the Hugging Face Model Hub
Meetup #72
Building ML Blocks with Kubeflow Orchestration with Feature Store
- Aniruddha Choudhury
Coffee Sessions #47
Fast.ai, AutoML, and Software Engineering for ML: Jeremy Howard
Meetup #71
Orchestrating Spark Jobs with Kubeflow
- Sadik Bakiu
- Sadik Bakiu
Coffee Sessions #46
What We Learned from 150 Successful ML-enabled Products at Booking.com.
Coffee Sessions #45
Enterprise Security and Governance MLOps
Coffee Sessions #44
Autonomy vs. Alignment: Scaling AI Teams to Deliver Value
Meetup #70
Machine Learning in Cybersecurity
- Monika Venckauskaite
Meetup #69
Engineering MLOps
- Emmanuel Raj
Meetup #68
Project/Product Management for MLOps
- Simarpal Khaira
- Veselina ("Vesi") Staneva
- Korri Jones
Coffee Sessions #43
Maturing Machine Learning in Enterprise
Meetup #67
Building an ML Platform from Scratch: Live Coding Session
- Alon Gubkin
Meetup #66
Practical MLOps Part 2
- Alfredo Deza
Coffee Sessions #42
Model Performance Monitoring and Why You Need it Yesterday
Coffee Sessions #41
CI/CD in MLOPS
Meetup #65
Common Mistakes in the AI Development Process
- Kseniia Melnikova
Meetup #64
Your Model is Not An Island: Operationalize Machine Learning at Scale with MLOps
- Christopher Bergh
Coffee Sessions #40
Scaling AI in Production
Coffee Sessions #39
MLOps: A Leader's Perspective
Meetup #63
Learnings from Live Coding: An MLOps Project on Twitch
- Felipe Campos Penha
Coffee Sessions #38
Organisational Challenges of MLOps
Meetup #62
Law of Diminishing Returns for Running AI Proof-of-Concepts
- Oguzhan Gencoglu
Coffee Sessions #37
MLOps Memes
Meetup #61
From Idea to Production ML
- Lex Beattie
- Michael Munn
- Mike Moran
Coffee Sessions #36
Luigi in Production Part 2
Coffee Sessions #35
War Stories Productionising ML
Meetup #60
Deploying Machine Learning Models at Scale in Cloud
- Vishnu Prathish
Coffee Sessions #34
Machine Learning at Atlassian
Meetup #59
MLOps Community 1 Year Anniversary!
- Demetrios Brinkmann
- David Aponte
- Vishnu Rachakonda
- Vishnu Rachakonda
Coffee Sessions #33
MLOps Investments
Meetup #58
Model Watching: Keeping Your Project in Production
- Ben Wilson
- Ben Wilson
Meetup #57
A Missing Link in the ML Infrastructure Stack
- Josh Tobin
Coffee Sessions #32
The Godfather Of MLOps
Meetup #56
Operationalizing Machine Learning at a Large Financial Institution
- Daniel Stahl
Meetup #55
How to Avoid Suffering in Mlops/Data Engineering Role
- Igor Lushchyk
Meetup #54
Product Management in Machine Learning
- Laszlo Sragner
Coffee Sessions #31
MLOps Engineering Labs Recap // Part 2
- Laszlo Sragner
- Artem Yushkovsky
- Paulo Maia
- Dimitrios Mangonskis
- Laszlo Sragner
Meetup #53
How Explainable AI is Critical to Building Responsible AI
- Krishna Gade
Coffee Sessions #30
MLOps Engineering Labs Recap // Part 1
- Alexey Naiden
- John Savage
- Michel Vasconcelos
- Varuna Jayasiri
Meetup #52
'Git for Data' - Who, What, How and Why?
- Luke Feeney
- Gavin Mendel-Gleason
Meetup #51
Agile AI Ethics: Balancing Short Term Value with Long Term Ethical Outcomes
- Pamela Jasper
Coffee Sessions #29
Culture and Architecture in MLOps
Meetup #50
Two Tools to get you 90% Operational ML
- David Aronchick
- Michael Del Balso
- Willem Pienaar
Coffee Sessions #28
Lessons Learned from Hosting the Machine Learning Engineered Podcast
Meetup #49
Machine Learning Design Patterns for MLOps
- Valliappa Lakshmanan
Coffee Sessions #27
Practical MLOps
Meetup #48
Serving ML Models at a High Scale with Low Latency
- Manoj Agarwal
Coffee Sessions #26
Feature Store Master Class
- Daniel Galinkin
- Matias Dominguez
- Simarpal Khaira
Meetup #47
ProductizeML: Assisting Your Team to Better Build ML Products
- Adria Romero
Coffee Sessions #25
Most Underrated MLOps Topics
Meetup #46
Real-time Feature Pipelines, A Personal History
- Hendrik Brackmann
Coffee Sessions #24
Machine Learning Design Patterns
Coffee Sessions #23
SRE for ML Infra
- Todd Underwood
- Todd Underwood
Coffee Sessions #22
Deep in the Heart of Data
Meetup #45
How To Move From Barely Doing BI to Doing AI - Building A Solid Data Foundation
- Joe Reis
Meetup #44
Human-centric ML Infrastructure: A Netflix Original
- Savin Goyal
Coffee Sessions #21
A Conversation with Seattle Data Guy
Coffee Sessions #20
Monzo Machine Learning Case Study
Coffee Sessions #19
Data Observability: The Next Frontier of Data Engineering
Meetup #43
The Current MLOps Landscape
- Nathan Benaich
- Timothy Chen
Meetup #42
UN Global Platform
- Mark Craddock
Coffee Sessions #18
Luigi in Production
Meetup #41
Metaflow: Supercharging Our Data Scientist Productivity
- Ravi Kiran Chirravuri
Coffee Sessions #17
Analyzing the Article “Continuous Delivery and Automation Pipelines in ML" Part 4
- Demetrios Brinkmann
- David Aponte
Meetup #40
Hands-on Serving Models Using KFserving
- Theofilos Papapanagiotou
Coffee Sessions #15
MLOps + ML
Coffee Sessions #16
Machine in Production = Data Engineering + ML + Software Engineering
Meetup #39
Operationalize Open Source Models with SAS Open Model Manager
- Ivan Nardini
Coffee Sessions #14
Conversation with the Creators of Dask
- Matthew Rocklin
- Hugo Bowne-Anderson
Meetup #38
Scalable Python for Everyone, Everywhere
- Matthew Rocklin
Coffee Sessions #13
How to Choose the Right Machine Learning Tool: A Conversation
- Jose Navarro
- Mariya Davydova
Coffee Sessions #12
Journey of Flyte at Lyft and Through Open-source
Meetup #37
When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Startup Life
- Elizabeth Chabot
Coffee Sessions #11
Analyzing the Article “Continuous Delivery and Automation Pipelines in ML" Part 3
- Demetrios Brinkmann
- David Aponte
Meetup #36
Moving Deep Learning from Research to Production with Determined and Kubeflow
- David Hershey
Meetup #35
Bring Your On-Prem ML Use Cases to Production on the Google Cloud using Kubeflow
- Chanchal Chatterjee
Coffee Sessions #10
Analyzing the Article “Continuous Delivery and Automation Pipelines in ML" Part 2
- Demetrios Brinkmann
- David Aponte
Meetup #34
Streaming Machine Learning with Apache Kafka and Tiered Storage
- Kai Waehner
Coffee Sessions #9
Reviewing “Continuous Delivery and Automation Pipelines in Machine Learning" Part 1
- Demetrios Brinkmann
- David Aponte
Meetup #33
Owned By Statistics: How Kubeflow & MLOps Can Help Secure ML Workloads
- David Aronchick
Coffee Sessions #8
MLOps from the Perspective of an SRE
Meetup #32
Building Say Less: An AI-Powered Summarization App
- Yoav Zimmerman
Coffee Sessions #7
MLOps and DevOps - Parallels and Deviations
Meetup #31
Creating Beautiful Ambient Music with Google Brain’s Music Transformer
- Daniel Jeffries
Meetup #30
Path to Production and Monetizing Machine Learning
- Vin Vashishta
Coffee Sessions #6
Continuous Integration for ML
Meetup #29
Scaling Machine Learning Capabilities in Large Organizations
- Bertjan Broeksema
- Axel Goblet
Coffee Sessions #5
Airflow in MLOps
Meetup #28
Continuous Evaluation & Model Experimentation
- Danny Ma
Coffee Sessions #4
A Conversation Around Feature Stores
- Venkata Pingali
- Jim Dowling
Meetup #27
ML Observability
- Aparna Dhinakaran
Coffee Sessions #3
MLOps: Isn't That Just DevOps?
Meetup #26
How to Leverage ML Tooling Ecosystem
- Mariya Davydova
Meetup #25
Python and Dask: Scaling the DataFrame
- Daniel Gerlanc
Meetup #24
How to Become a Better Data Scientist: The Definite Guide
- Alexey Grigorev
Meetup #23
Monitoring the ML Stack
- Lina Weichbrodt
- Lina Weichbrodt
Meetup #22
Feature Stores: An Essential Part of the ML Stack to Build Great Data
- Kevin Stumpf
- Kevin Stumpf
Coffee Sessions #2
Different Ways of Serving ML Models
Meetup #21
Deep Dive on Paperspace Tooling
- Misha Kutsovsky
Meetup #20
Building vs Buying a Machine Learning Management Platform
- Diego Oppenheimer
Meetup #19
DataOps and Data Versioning in ML
- Dmitry Petrov
Meetup #18
Nubank - Running a Fintech on ML
- Caique Lima
- Cristiano Breuel
Coffee Sessions #1
Serving Models with Kubeflow
- Demetrios Brinkmann
- David Aponte
Meetup #17
The Challenges of ML Operations and How Hermione Helped on the Way
- Neylson Crepalde
Meetup #16
Venture Capital In Machine Learning Startups
- John Spindler
Meetup #15
Scaling Human-in-the-Loop Machine Learning
- Robert Munro
Meetup #14
The Cheesy Analogy of 'Kubeflow vs. MLflow’ and Balancing the Tools, Teams, and Techniques Needed to Deliver Value
- Byron Allen
- Byron Allen
Meetup #13
Maximizing Job Opportunities as a Data Scientist on the Market
- Anthony Kelly
Meetup #12
Why Data Scientists Should Know Data Engineering
- Dan Sullivan
Meetup #11
Machine Learning at Scale in Mercadolibre
- Carlos De la Torre
Meetup #10
MLOps - The Blind Men and the Elephant
- Saurav Chakravorty
Meetup #9
10 Years Deploying ML in the Enterprise: The Inside Scoop!
- Charles Martin
Meetup #8
Using Kubeflow 1.0 to Optimize ML Workflows
- Josh Bottum
Meetup #7
The Use of Machine Learning Instead of a Rule-based System
- Alex Spanos
Meetup #6
Mid-Scale Production Feature Engineering
- Venkata Pingali
Meetup #4
Building an ML Platform @ SurveyMonkey
- Shubhi (Shubhankar) Jain
Meetup #3
Hierarchy of MLOps Needs
- Phil Winder
Meetup #2
What Does Best in Class AI/ML Governance Look Like in Financial Services?
- Charles Radclyffe
Meetup #1
Our 1st MLOps Meetup
- Luke Marsden
