MLOps.community
By Demetrios Brinkmann
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Subscribers: 42
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Episodes: 330
Description
Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.
| Episode | Date |
|---|---|
|
What is AI Quality? // Mohamed Elgendy // MLOps Podcast #228
|
May 03, 2024 |
|
Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228
|
Apr 30, 2024 |
|
Leading Enterprise Data Teams // Sol Rashidi // #227
|
Apr 26, 2024 |
|
The Rise of Modern Data Management // Chad Sanderson // #226
|
Apr 23, 2024 |
|
Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // #225
|
Apr 19, 2024 |
|
GenAI in Production - Challenges and Trends // Verena Weber // #224
|
Apr 17, 2024 |
|
Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable
|
Apr 12, 2024 |
|
From MVP to Production // AI in Production Conference
|
Apr 09, 2024 |
|
Data Engineering in the Federal Sector // Shane Morris // #223
|
Apr 05, 2024 |
|
What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // #222
|
Apr 02, 2024 |
|
MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221
|
Mar 29, 2024 |
|
4 Years of the MLOps Community // Demetrios Brinkmann // #220
|
Mar 26, 2024 |
|
The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219
|
Mar 22, 2024 |
|
Security and Privacy // Day 2 Panel 1 // AI in Production Conference
|
Mar 19, 2024 |
|
[Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case
|
Mar 15, 2024 |
|
A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218
|
Mar 12, 2024 |
|
The Real E2E RAG Stack // Sam Bean, Rewind AI // #217
|
Mar 08, 2024 |
|
Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215
|
Mar 05, 2024 |
|
Becoming an AI Evangelist // Alex Volkov // #215
|
Mar 01, 2024 |
|
LLM Use Cases in Production // AI in Production Conference // Panel 1
|
Feb 28, 2024 |
|
Information Retrieval & Relevance // Daniel Svonava // #214
|
Feb 24, 2024 |
|
Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // #213
|
Feb 21, 2024 |
|
Data Governance and AI // Alexandra Diem // #212
|
Feb 16, 2024 |
|
Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211
|
Feb 13, 2024 |
|
LLM Evaluation with Arize AI's Aparna Dhinakaran // #210
|
Feb 09, 2024 |
|
Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209
|
Feb 06, 2024 |
|
[Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source
|
Feb 02, 2024 |
|
Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208
|
Jan 30, 2024 |
|
How Data Platforms Affect ML & AI // Jake Watson // #207
|
Jan 26, 2024 |
|
RAG Has Been Oversimplified // Yujian Tang // #206
|
Jan 23, 2024 |
|
The Myth of AI Breakthroughs // Jonathan Frankle // #205
|
Jan 19, 2024 |
|
MLOps at the Crossroads // Patrick Barker & Farhood Etaati // #204
|
Jan 16, 2024 |
|
Pioneering AI Models for Regional Languages // Aleksa Gordić // #203
|
Jan 12, 2024 |
|
Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // #202
|
Jan 09, 2024 |
|
Language, Graphs, and AI in Industry // Paco Nathan // #201
|
Jan 05, 2024 |
|
Founding, Funding, and the Future of MLOps // Mihail Eric // #200
|
Jan 02, 2024 |
|
Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // #199
|
Dec 29, 2023 |
|
Inferring Creativity // Nick Hasty // #198
|
Dec 26, 2023 |
|
The Role of Infrastructure in ML // Niels Bantilan // #197
|
Dec 22, 2023 |
|
LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196
|
Dec 19, 2023 |
|
[Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment
|
Dec 15, 2023 |
|
Building the Future of AI in Software Development // Varun Mohan // #195
|
Dec 12, 2023 |
|
AI in Education Fireside Chat // LLMs in Production Conference 3
|
Dec 08, 2023 |
|
[Exclusive] Tecton Round-table // Get your ML Application Into Production
|
Dec 07, 2023 |
|
DSPy: Transforming Language Model Calls into Smart Pipelines // Omar Khattab // #194
|
Dec 05, 2023 |
|
Fireside Chat with LLM Startups // LLMs in Production Conference 3
|
Dec 01, 2023 |
|
LLMs in Biomaterials Production // Pierre Salvy // #193
|
Nov 28, 2023 |
|
Product Engineering for LLMs // LLMs in Production Conference Part III // Panel 2
|
Nov 24, 2023 |
|
Enterprises Using MLOps, the Changing LLM Landscape, MLOps Pipelines // Chris Van Pelt // #192
|
Nov 21, 2023 |
|
Building Defensible AI Apps // Gregory Kamradt // #191
|
Nov 17, 2023 |
|
Guarding LLM and NLP APIs: A Trailblazing Odyssey for Enhanced Security // Ads Dawson // #190
|
Nov 14, 2023 |
|
Designing for Forward Compatibility in Gen AI // Rohit Agarwal // #189
|
Nov 10, 2023 |
|
Impact of LLMs on the Tech Stack and Product Development // Anand Das // #188
|
Nov 07, 2023 |
|
Building Effective Products with GenAI // Faizaan Charania // #187
|
Nov 03, 2023 |
|
The Future of Feature Stores and Platforms // Mike Del Balso & Josh Wills // # 186
|
Oct 31, 2023 |
|
Lessons on Data Science Leadership // Luigi Patruno // #185
|
Oct 27, 2023 |
|
Data Platforms in MLOps: Translating Business Goals into Product Decisions // Richa Sachdev // #184
|
Oct 24, 2023 |
|
MLOps vs ML Orchestration // Ketan Umare // #183
|
Oct 20, 2023 |
|
MLOps@GetYourGuide // Jean Machado, Meghana Satish, Olivia Houghton, Theodore Meynard// #182
|
Oct 20, 2023 |
|
The Centralization of Power in AI // Kyle Harrison // # 181
|
Oct 13, 2023 |
|
Adventures in Building CLIP & Other (Largeish) LMs // Sachin Abeywardana // #180
|
Oct 10, 2023 |
|
All About Evaluating LLM Applications // Shahul Es // #179
|
Oct 06, 2023 |
|
Building an ML Platform: Insights, Community, and Advocacy // Stephen Batifol // #178
|
Oct 03, 2023 |
|
Collaboration and Strategy // Vin Vashishta // #176
|
Sep 18, 2023 |
|
Ux of an LLM User Panel // LLMs in Production Conference Part II
|
Sep 15, 2023 |
|
From Virtualization to AI Integration // Lamia Youseff // # 175
|
Sep 12, 2023 |
|
LLM on K8s Panel // LLMs in Conference in Production Conference Part II
|
Sep 08, 2023 |
|
Harnessing MLOps in Finance // Michelle Marie Conway // MLOps Podcast Coffee #174
|
Sep 05, 2023 |
|
MLOps vs. LLMOps Panel // LLMs in Conference in Production Conference Part II
|
Sep 01, 2023 |
|
Building Cody, an Open Source AI Coding Assistant // Beyang Liu // MLOps Podcast #173
|
Aug 29, 2023 |
|
Evaluation Panel // Large Language Models in Production Conference Part II
|
Aug 25, 2023 |
|
FrugalGPT: Better Quality and Lower Cost for LLM Applications // Lingjiao Chen // MLOps Podcast #172
|
Aug 22, 2023 |
|
Building LLM Products Panel // LLMs in Production Conference Part II
|
Aug 18, 2023 |
|
Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171
|
Aug 15, 2023 |
|
All the Hard Stuff with LLMs in Product Development // Phillip Carter // MLOps Podcast #170
|
Aug 11, 2023 |
|
MLOps at the Age of Generative AI // Barak Turovsky // MLOps Podcast #169
|
Aug 08, 2023 |
|
Experiment Tracking in the Age of LLMs // Piotr Niedźwiedź // MLOps Podcast #168
|
Aug 01, 2023 |
|
Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167
|
Jul 25, 2023 |
|
Eliminating Garbage In/Garbage Out for Analytics and ML // Roy Hasson & Santona Tuli // MLOps Podcast #166
|
Jul 18, 2023 |
|
Python Power: How Daft Embeds Models and Revolutionizes Data Processing // Sammy Sidhu // MLOps Podcast #165
|
Jul 11, 2023 |
|
Open Source and Fast Decision Making // Rob Hirschfeld // MLOps Podcast #164
|
Jul 04, 2023 |
|
Democratizing AI // Yujian Tang // MLOps Podcast #163
|
Jun 27, 2023 |
|
From Arduinos to LLMs: Exploring the Spectrum of ML // Soham Chatterjee // MLOps Podcast #162
|
Jun 20, 2023 |
|
The Long Tail of ML Deployment // Tuhin Srivastava // MLOps Podcast #161
|
Jun 13, 2023 |
|
Clean Code for Data Scientists // Matt Sharp // MLOps Podcast # 160
|
Jun 07, 2023 |
|
Why is MLOps Hard in an Enterprise? // Maria Vechtomova & Basak Eskili // MLOps Podcast #159
|
May 30, 2023 |
|
Large Language Models at Cohere // Nils Reimers // MLOps Podcast #158
|
May 16, 2023 |
|
Data Privacy and Security // LLMs in Production Conference Panel Discussion
|
May 12, 2023 |
|
MLOps Build or Buy, Startup vs. Enterprise? // Aaron Maurer & Katrina Ni # 157
|
May 09, 2023 |
|
Cost/Performance Optimization with LLMs [Panel]
|
May 06, 2023 |
|
Machine Learning Education at Uber // Melissa Barr & Michael Mui // MLOps Podcast #156
|
May 02, 2023 |
|
The Birth and Growth of Spark: An Open Source Success Story // Matei Zaharia // MLOps Podcast #155
|
Apr 25, 2023 |
|
ML Scalability Challenges // Waleed Kadous // MLOps Podcast # 154
|
Apr 18, 2023 |
|
[EXCLUSIVE EPISODE!] LLM Key Results
|
Apr 13, 2023 |
|
Multilingual Programming and a Project Structure to Enable It // Rodolfo Núñez // MLOps Podcast #153
|
Apr 10, 2023 |
|
[Bonus Episode] Practical AI x MLOps // Demetrios Brinkmann, Mihail Eric, Daniel Whitenack and Chris Benson
|
Apr 07, 2023 |
|
How A Manager Became a Believer in DevOps for Machine Learning // Keith Trnka // MLOps Podcast #152
|
Apr 04, 2023 |
|
ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151
|
Mar 28, 2023 |
|
Large Language Models in Production Round-table Conversation
|
Mar 23, 2023 |
|
The Future of Search in the Era of Large Language Models // Saahil Jain // MLOps Podcast #150
|
Mar 21, 2023 |
|
The Challenges of Deploying (many!) ML Models // Jason McCampbell // MLOps Podcast #149
|
Mar 14, 2023 |
|
Intelligence & MLOps // Karl Fezer // MLOps Podcast # 148
|
Mar 07, 2023 |
|
The Rise of Serverless Databases // Alex DeBrie // MLOps Podcast #147
|
Feb 28, 2023 |
|
The Ops in MLOps - Process and People // Shalabh Chaudri // MLOps Podcast #146
|
Feb 21, 2023 |
|
Griffin, ML Platform at Instacart // Sahil Khanna // MLOps Podcast #145
|
Feb 14, 2023 |
|
Non-traditional Career Paths in MLOps // Matthew Dombrowski // MLOps Podcast #144
|
Feb 07, 2023 |
|
Investing in the Next Generation of AI & ML // Jill Chase & Manmeet Gujral // MLOps Podcast #143
|
Jan 31, 2023 |
|
Approaches to Fairness and XAI // Murtuza Shergadwala // MLOps Podcast #142
|
Jan 24, 2023 |
|
Airflow Sucks for MLOps // Stephen Bailey // MLOps Podcast #141
|
Jan 17, 2023 |
|
Updated The Evolution of ML Infrastructure // Sakib Dadi // MLOps Podcast #140
|
Jan 10, 2023 |
|
Foundational Models are the Future but... with Alex Ratner CEO of Snorkel AI // MLOps Podcast #139
|
Jan 03, 2023 |
|
Explainability in the MLOps Cycle // Dattaraj Rao // MLOps Podcast #138
|
Dec 27, 2022 |
|
Machine Learning Operations — What is it and Why Do We Need It? // Niklas Kühl // MLOps Podcast #137
|
Dec 20, 2022 |
|
Systems Engineer Navigating the World of ML // Andrew Dye // MLOps Podcast #136
|
Dec 13, 2022 |
|
"Real-Time" ML: Features and Inference // Sasha Ovsankin and Rupesh Gupta // MLOps Podcast #135
|
Dec 09, 2022 |
|
Building Threat Detection Systems: An MLE's Perspective // Jeremy Jordan // MLOps Podcast #134
|
Dec 06, 2022 |
|
Real-time Machine Learning with Chip Huyen // MLOps Coffee Sessions #133
|
Nov 22, 2022 |
|
What is Data / ML Like on League? // Ian Schweer // MLOps Coffee Sessions #132
|
Nov 15, 2022 |
|
Let's Continue Bundling into the Database // Ethan Rosenthal // MLOps Coffee Sessions #131
|
Nov 08, 2022 |
|
MLOps for Ad Platforms // Andrew Yates // MLOps Coffee Sessions #130
|
Oct 31, 2022 |
|
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
|
Oct 21, 2022 |
|
Managing Machine Learning Projects // Simon Thompson // MLOps Coffee Sessions #128
|
Oct 19, 2022 |
|
Reliable ML // Niall Murphy & Todd Underwood // Coffee Sessions #127
|
Oct 07, 2022 |
|
ML Unicorn Start-up Investor Tells-IT-All // George Mathew // MLOps Coffee Sessions #126
|
Oct 04, 2022 |
|
Databricks Model Serving V2 // Rafael Pierre // Coffee Sessions #125
|
Sep 30, 2022 |
|
Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2
|
Sep 27, 2022 |
|
Trustworthy Machine Learning // Kush Varshney // Coffee Sessions #124
|
Sep 21, 2022 |
|
RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day // Gleb Abroskin // MLOps Coffee Sessions #123
|
Sep 16, 2022 |
|
Scaling Similarity Learning at Digits // Hannes Hapke // Coffee Sessions #122
|
Sep 09, 2022 |
|
Bringing DevOps Agility to ML// Luis Ceze // Coffee Sessions #121
|
Sep 06, 2022 |
|
Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120
|
Sep 02, 2022 |
|
MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119
|
Aug 30, 2022 |
|
ML Platforms, Where to Start? // Olalekan Elesin // Coffee Sessions #118
|
Aug 26, 2022 |
|
Data Engineering for ML // Chad Sanderson // Coffee Sessions #117
|
Aug 19, 2022 |
|
Scaling Machine Learning with Data Mesh // Shawn Kyzer // Coffee Sessions #116
|
Aug 17, 2022 |
|
How Hera is an Enabler of MLOps Integrations // Flaviu Vadan // Coffee Sessions #115
|
Aug 14, 2022 |
|
Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114
|
Aug 10, 2022 |
|
Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113
|
Aug 06, 2022 |
|
MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112
|
Aug 03, 2022 |
|
More than a Cache: Turning Redis into a Composable, ML Data Platform // Samuel Partee // Coffee Sessions #111
|
Jul 30, 2022 |
|
Just Fetch the Data and then... // David Bayliss // Coffee Sessions #110
|
Jul 29, 2022 |
|
Why You Need More Than Airflow // Ketan Umare // Coffee Sessions #109
|
Jul 23, 2022 |
|
ML Flow vs Kubeflow 2022 // Byron Allen // Coffee Sessions #108
|
Jul 19, 2022 |
|
Why and When to Use Kubeflow for MLOps // Ryan Russon // Coffee Sessions #107
|
Jul 11, 2022 |
|
Building a Culture of Experimentation to Speed Up Data-Driven Value // Delina Ivanova // MLOps Coffee Sessions #106
|
Jul 05, 2022 |
|
Cleanlab: Labeled Datasets that Correct Themselves Automatically // Curtis Northcutt // MLOps Coffee Sessions #105
|
Jul 01, 2022 |
|
MLOps + BI? // Maxime Beauchemin // MLOps Coffee Sessions #104
|
Jun 24, 2022 |
|
Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103
|
Jun 17, 2022 |
|
Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102
|
Jun 10, 2022 |
|
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101
|
Jun 03, 2022 |
|
Scaling Real-time Machine Learning at Chime // Peeyush Agarwal // Lightning Sessions #1
|
May 27, 2022 |
|
MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100
|
May 27, 2022 |
|
CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99
|
May 20, 2022 |
|
Racing the Playhead: Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98
|
May 12, 2022 |
|
Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97
|
May 05, 2022 |
|
FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96
|
May 02, 2022 |
|
MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95
|
Apr 25, 2022 |
|
Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94
|
Apr 21, 2022 |
|
Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93
|
Apr 14, 2022 |
|
Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92
|
Apr 11, 2022 |
|
The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91
|
Apr 07, 2022 |
|
Bringing Audio ML Models into Production // Valerio Velardo // MLOps Coffee Sessions #90
|
Apr 04, 2022 |
|
A Journey in Scaling AI // Gabriel Straub // MLOps Coffee Sessions #89
|
Mar 31, 2022 |
|
ML Platform Tradeoffs and Wondering Why to Use Them // Javier Mansilla // MLOps Coffee Sessions #88
|
Mar 28, 2022 |
|
Don't Listen Unless You Are Going to Do ML in Production // Kyle Morris // MLOps Coffee Sessions #87
|
Mar 17, 2022 |
|
Building ML/Data Platform on Top of Kubernetes // Julien Bisconti // MLOps Coffee Sessions #86
|
Mar 12, 2022 |
|
Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85
|
Mar 10, 2022 |
|
Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84
|
Mar 02, 2022 |
|
Better Use cases for Text Embeddings // Vincent Warmerdam // MLOps Coffee Sessions #83
|
Feb 28, 2022 |
|
Feature Stores at Shopify and Skyscanner // Matt Delacour and Mike Moran // Reading Group #4
|
Feb 23, 2022 |
|
Trustworthy Data for Machine Learning // Chad Sanderson // MLOps Meetup #93
|
Feb 21, 2022 |
|
Practitioners Guide to MLOps // Donna Schut and Christos Aniftos // Coffee Sessions #82
|
Feb 15, 2022 |
|
Investing in MLOps // Leigh Marie Braswell and Davis Treybig // MLOps Coffee Sessions #81
|
Feb 14, 2022 |
|
The Journey from Data Scientist to MLOps Engineer // Ale Solano // MLOps Coffee Sessions #80
|
Feb 08, 2022 |
|
Platform Thinking: A Lemonade Case Study // Orr Shilon // MLOps Coffee Sessions #79
|
Feb 04, 2022 |
|
Calibration for ML at Etsy - apply() special // Erica Greene and Seoyoon Park // MLOps Coffee Sessions #78
|
Jan 31, 2022 |
|
Data Mesh - The Data Quality Control Mechanism for MLOps? // Scott Hirleman // MLOps Coffee Sessions #77
|
Jan 28, 2022 |
|
Build a Culture of ML Testing and Model Quality // Mohamed Elgendy // MLOps Coffee Sessions #76
|
Jan 25, 2022 |
|
Towards Observability for ML Pipelines // Shreya Shankar // MLOps Coffee Sessions #75
|
Jan 21, 2022 |
|
Scaling Biotech // Jesse Johnson // MLOps Coffee Sessions #74
|
Jan 19, 2022 |
|
On Structuring an ML Platform 1 Pizza Team //Breno Costa & Matheus Frata //MLOps Coffee Sessions #73
|
Jan 07, 2022 |
|
2021 MLOps Year in Review // Vishnu Rachakonda and Demetrios Brinkmann // MLOps Coffee Sessions #72
|
Jan 03, 2022 |
|
Setting up an ML Platform on GCP: Lessons Learned // Mefta Sadat // MLOps Coffee Sessions #71
|
Dec 28, 2021 |
|
2022 Predictions for MLOps and the Industry // Reah Miyara // MLOps Coffee Sessions #70
|
Dec 23, 2021 |
|
Building for Small Data Science Teams // James Lamb // MLOps Coffee Sessions #69
|
Dec 20, 2021 |
|
Wikimedia MLOps // Chris Albon // Coffee Sessions #68
|
Dec 13, 2021 |
|
ML Stepping Stones: Challenges & Opportunities for Companies // John Crousse // Coffee Sessions #67
|
Dec 09, 2021 |
|
Machine Learning at Reasonable Scale // Jacopo Tagliabue // MLOps Coffee Sessions #66
|
Dec 08, 2021 |
|
The Future of Data Science Platforms is Accessibility // Skylar Payne // Coffee Session #65
|
Nov 30, 2021 |
|
Impact of SWE in ML Projects // Laszlo Sragner and Tim Blazina // MLOps Reading Group
|
Nov 29, 2021 |
|
The Future of AI and ML in Process Automation // Slater Victoroff // MLOps Coffee Sessions #64
|
Nov 23, 2021 |
|
PyTorch: Bridging AI Research and Production // Dmytro Dzhulgakov // Coffee Sessions #63
|
Nov 16, 2021 |
|
I Don't Like Jupyter Notebooks // Joel Grus // Coffee Sessions #62
|
Nov 09, 2021 |
|
ML Tests // Svet Penkov // Coffee Sessions #61
|
Nov 02, 2021 |
|
Linkedin Job Recommendations // Alexandre Patry // Coffee Sessions #60
|
Oct 25, 2021 |
|
Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman // Coffee Sessions #59
|
Oct 11, 2021 |
|
10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58
|
Oct 07, 2021 |
|
The Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // Coffee Sessions #57
|
Oct 01, 2021 |
|
A Few Learnings from Building a Bootstrapped MLOps Services Startup //Soumanta Das// Coffee Sessions #56
|
Sep 27, 2021 |
|
Learning and Teaching MLOps Applications // Salwa Muhammad // MLOps Coffee Sessions #55
|
Sep 21, 2021 |
|
Machine Learning SRE // Niall Murphy // MLOps Coffee Sessions #54
|
Sep 10, 2021 |
|
MLOps Insights // David Aponte-Demetrios Brinkmann-Vishnu Rachakonda // MLOps Coffee Sessions #53
|
Sep 07, 2021 |
|
Vector Similarity Search at Scale // Dave Bergstein // MLOps Coffee Sessions #52
|
Aug 31, 2021 |
|
ML Security: Why should you care? // Sahbi Chaieb // MLOps Coffee Sessions #51
|
Aug 17, 2021 |
|
Creating MLOps Standards // Alex Chung and Srivathsan Canchi // MLOps Coffee Sessions #50
|
Aug 12, 2021 |
|
Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49
|
Aug 10, 2021 |
|
Tour of Upcoming Features on the Hugging Face Model Hub // Julien Chaumond // MLOps Coffee Sessions #48
|
Jul 27, 2021 |
|
Fast.ai, AutoML, and Software Engineering for ML: Jeremy Howard // Coffee Session #47
|
Jul 15, 2021 |
|
Learning from 150 Successful ML-enabled Products at Booking.com // Pablo Estevez // Coffee Sessions #46
|
Jul 13, 2021 |
|
Machine Learning in Cyber Security // Monika Venckauskaite // MLOps Meetup #70
|
Jul 06, 2021 |
|
Enterprise Security and Governance MLOps // Diego Oppenheimer // MLOps Coffee Sessions #45
|
Jul 02, 2021 |
|
Autonomy vs. Alignment: Scaling AI teams to deliver value // Grant Wright // MLOps Coffee Sessions #44
|
Jun 30, 2021 |
|
How Pinterest Powers Image Similarity // Shaji Chennan Kunnummel // System Design Reviews #1
|
Jun 29, 2021 |
|
Engineering MLOps // Emmanuel Raj // MLOps Meetup #69
|
Jun 28, 2021 |
|
Project/Product Management for MLOps // Korri Jones - Simarpal Khaira - Veselina Staneva // MLOps Meetup #68
|
Jun 21, 2021 |
|
Maturing Machine Learning in Enterprise // Kyle Gallatin // MLOps Coffee Sessions #43
|
Jun 15, 2021 |
|
Practical MLOps Part 2 // Alfredo Deza // MLOps Meetup #66
|
Jun 05, 2021 |
|
Common Mistakes in the ML Development Lifecycle // Kseniia Melnikova // MLOps Meetup #65
|
Jun 01, 2021 |
|
Model Performance Monitoring and Why You Need it Yesterday // Amit Paka // MLOps Coffee Sessions #42
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Jun 01, 2021 |
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CI/CD in MLOPS // Monmayuri Ray // MLOps Coffee Sessions #41
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May 27, 2021 |
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Operationalizing Machine Learning at Scale // Christopher Bergh // MLOps Meetup #64
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May 25, 2021 |
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Scaling AI in production // Srivatsan Srinivasan // MLOps Coffee Sessions #40
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May 21, 2021 |
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MLOps: A leader's perspective // Stephen Galsworthy // MLOps Coffee Sessions #39
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May 18, 2021 |
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Learnings from Live Coding: An MLOps Project on Twitch // Felipe Campos Penha // MLOps Meetup #63
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May 14, 2021 |
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Law of Diminishing Returns for Running AI Proof-of-Concepts // Oguzhan Gencoglu // MLOps Meetup #62
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May 10, 2021 |
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Organisational Challenges of MLOps // Adam Sroka // MLOps Coffee Sessions #38
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May 07, 2021 |
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From Idea to Production ML // Lex Beattie - Michael Munn - Mike Moran // MLOps Meetup #61
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May 03, 2021 |
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MLOps Memes // Ariel Biller // MLOps Coffee Sessions #37
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Apr 30, 2021 |
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Luigi in Production Part 2 // Luigi Patruno // MLOps Coffee Sessions #36
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Apr 23, 2021 |
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War Stories Productionising ML // Nick Masca // Coffee Session #35
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Apr 19, 2021 |
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Deploying Machine Learning Models at Scale in Cloud // Vishnu Prathish // MLOps Meetup #60
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Apr 16, 2021 |
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Machine Learning at Atlassian // Geoff Sims // Coffee Session#34
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Apr 12, 2021 |
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MLOps Community 1 Year Anniversary! // Demetrios Brinkmann, David Aponte & Vishnu Rachakonda // MLOps Meetup #59
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Apr 09, 2021 |
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MLOps Investments // Sarah Catanzaro // Coffee Session #33
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Apr 06, 2021 |
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Model Watching: Keeping Your Project in Production // Ben Wilson // MLOps Meetup #58
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Apr 04, 2021 |
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A Missing Link in the ML Infrastructure Stack // Josh Tobin // MLOps Meetup #57
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Mar 26, 2021 |
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The Godfather Of MLOps // D. Sculley // MLOps Coffee Sessions #32
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Mar 23, 2021 |
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Operationalizing Machine Learning at a Large Financial Institution // Daniel Stahl // MLOps Meetup #56
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Mar 19, 2021 |
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How to Avoid Suffering in Mlops/Data Engineering Role // Igor Lushchyk // MLOps Meetup #55
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Mar 12, 2021 |
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Product Management in Machine Learning // Laszlo Sragner // MLOps Meetup #54
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Mar 05, 2021 |
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MLOps Engineering Labs Recap // Part 2 // MLOps Coffee Sessions #31
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Mar 02, 2021 |
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How Explainable AI is Critical to Building Responsible AI // Krishna Gade MLOps // Meetup #53
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Mar 01, 2021 |
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MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30
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Feb 23, 2021 |
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'Git for Data' - Who, What, How and Why? // Luke Feeney - Gavin Mendel-Gleason // MLOps Meetup #52
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Feb 19, 2021 |
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Agile AI Ethics: Balancing Short Term Value with Long Term Ethical Outcomes // Pamela Jasper // MLOps Meetup #51
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Feb 12, 2021 |
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Culture and Architecture in MLOps // Jet Basrawi // MLOps Coffee Sessions #29
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Feb 08, 2021 |
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2 tools to get you 90% operational // Michael Del Balso - Willem Pienaar - David Aronchick // MLOps Meetup #50
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Feb 05, 2021 |
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Machine Learning Design Patterns for MLOps // Valliappa Lakshmanan // MLOps Meetup #49
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Feb 02, 2021 |
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Lessons Learned From Hosting the Machine Learning Engineered Podcast // Charlie You // MLOps Coffee Sessions #28
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Jan 29, 2021 |
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Practical MLOps // Noah Gift // MLOps Coffee Sessions #27
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Jan 26, 2021 |
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Serving ML Models at a High Scale with Low Latency // Manoj Agarwal // MLOps Meetup #48
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Jan 24, 2021 |
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When Machine Learning meets privacy - Episode 9
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Jan 21, 2021 |
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Machine Learning Feature Store Panel Discussion // MLOps Coffee Sessions #26
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Jan 19, 2021 |
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ProductizeML: Assisting Your Team to Better Build ML Products // Adrià Romero // MLOps Meetup #47
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Jan 18, 2021 |
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When Machine Learning meets privacy - Episode 8
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Jan 14, 2021 |
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Most Underrated MLOps Topics // Marian Ignev MLOps // Coffee Sessions #25
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Jan 12, 2021 |
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Real-time Feature Pipelines, A Personal History // Hendrik Brackmann // MLOps Meetup #46
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Jan 08, 2021 |
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Machine Learning Design Patterns // Sara Robinson // MLOps Coffee Sessions #24
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Dec 29, 2020 |
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SRE for ML Infra // Todd Underwood // MLOps Coffee Sessions #23
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Dec 22, 2020 |
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How To Move From Barely Doing BI to Doing AI // Joe Reis // MLOps Meetup #45
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Dec 20, 2020 |
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Deep in the heart of data // Carl Steinbach // MLOps Coffee Sessions #22
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Dec 18, 2020 |
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When machine learning meets privacy - Episode 7
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Dec 17, 2020 |
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When Machine Learning meets privacy - Episode 6
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Dec 14, 2020 |
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Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44
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Dec 14, 2020 |
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A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21
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Dec 08, 2020 |
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Monzo Bank - An MLOps Case Study // Neal Lathia // MLOps Coffee Sessions #20
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Dec 07, 2020 |
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When Machine Learning meets privacy - Episode 5
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Dec 03, 2020 |
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When Machine Learning meets privacy - Episode 4
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Nov 26, 2020 |
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Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19
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Nov 24, 2020 |
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The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43
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Nov 23, 2020 |
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When Machine Learning meets privacy - Episode 3 with Charles Radclyffe
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Nov 19, 2020 |
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UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42
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Nov 16, 2020 |
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When Machine Learning meets Data Privacy - Episode 2 with Cat Coode
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Nov 12, 2020 |
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When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot
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Nov 10, 2020 |
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Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41
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Nov 10, 2020 |
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Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production
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Nov 09, 2020 |
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When Machine Learning meets Data Privacy
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Nov 05, 2020 |
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Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17
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Nov 03, 2020 |
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Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40
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Oct 30, 2020 |
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Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39
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Oct 27, 2020 |
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Machine in Production = Data Engineering + ML + Software Engineering // Satish Chandra Gupta // MLOps Coffee Sessions #16
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Oct 26, 2020 |
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MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15
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Oct 20, 2020 |
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Scalable Python for Everyone, Everywhere // Matthew Rocklin // MLOps Meetup #38
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Oct 19, 2020 |
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MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova
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Oct 18, 2020 |
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MLOps Coffee Sessions #14 Conversation with the Creators of Dask // Hugo Bowne-Anderson and Matthew Rocklin
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Oct 12, 2020 |
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MLOps Coffee Sessions #12: Journey of Flyte at Lyft and Through Open-source // Ketan Umare
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Oct 10, 2020 |
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MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3
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Oct 04, 2020 |
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MLOps Meetup #36: Moving Deep Learning from Research to Prod Using DeterminedAI and Kubeflow // David Hershey, DeterminedAI
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Oct 04, 2020 |
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MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2
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Sep 22, 2020 |
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MLOps Meetup #34: Streaming Machine Learning with Apache Kafka and Tiered Storage // Kai Waehner, Confluent
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Sep 17, 2020 |
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MLOps Meetup #33 Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads // David Aronchick - Head of Open Source ML Strategy at Azure
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Sep 14, 2020 |
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MLOps Coffee Sessions #9 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning “ // Part 1
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Sep 14, 2020 |
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MLOps Meetup #32 Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Founder of Model Zoo
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Sep 08, 2020 |
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MLOps Coffee Sessions #8 // MLOps from the Perspective of an SRE // Neeran Gul
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Sep 08, 2020 |
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MLOps Meetup #31 // Creating Beautiful Ambient Music with Google Brain’s Music Transformer // Daniel Jeffries - Chief Technology Evangelist at Pachyderm
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Sep 05, 2020 |
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MLOps Coffee Sessions #7 // MLOps and DevOps - Parallels and Deviations // Featuring Damian Brady
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Aug 31, 2020 |
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MLOps Meetup #30 // Path to Production and Monetizing Machine Learning // Vin Vashishta - Data Scientist | Strategist | Speaker & Author
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Aug 20, 2020 |
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MLOps Meetup #29 // Scaling Machine Learning Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet
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Aug 10, 2020 |
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MLOps Coffee Sessions #6 // Continuous Integration for ML // Featuring Elle O'Brien
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Aug 08, 2020 |
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MLOps Coffee Sessions #5 // Airflow in MLOps // Featuring Simon Darr and Byron Allen
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Aug 04, 2020 |
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MLOps #28 Continuous Evaluation & Model Experimentation // Danny Ma - Founder & CEO at Sydney Data Science
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Jul 26, 2020 |
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MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling
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Jul 25, 2020 |
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MLOps #27 ML Observability // Aparna Dhinakaran - Chief Product Officer at Arize AI
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Jul 24, 2020 |
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MLOps Meetup #26 // How to Leverage ML Tooling Ecosystem // Mariya Davydova - Head of Product at Neu.ro
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Jul 20, 2020 |
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MLOps Coffee Sessions #3 MLOps: Isn't That Just DevOps? // Featuring Ryan Dawson
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Jul 16, 2020 |
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MLOps Meetup #25 // Python and Dask: Scaling the DataFrame // Dan Gerlanc - Founder of Enplus Advisors
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Jul 12, 2020 |
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MLOps Meetup #23 // Monitoring the ML stack // Lina Weichbrodt
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Jul 11, 2020 |
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MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev
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Jul 10, 2020 |
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MLOps #22 Feature Stores: An Essential Part of the ML Stack to Build Great Data // Kevin Stumpf - Co-Founder & CTO at Tecton
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Jul 04, 2020 |
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MLOps Meetup #21 Deep Dive on Paperspace Tooling // Misha Kutsovsky - Senior ML Architect at Paperspace
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Jun 28, 2020 |
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MLOps Meetup #18 // Nubank - Running a Fintech on ML // Caique Lima and Cristiano Breuel
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Jun 21, 2020 |
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MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov
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Jun 19, 2020 |
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MLOps Coffee Sessions #1: Serving Models with Kubeflow
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Jun 13, 2020 |
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MLOps Meetup #17 // The Challenges of ML Operations & How Hermione Helps Along the Way // Neylson Crepalde
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Jun 11, 2020 |
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MLOps Meetup #16 // Venture Capital and Machine Learning Startups with John Spindler
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Jun 06, 2020 |
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MLOps Meetup #15 Scaling Human-in-the-Loop Machine Learning with Robert Munro
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Jun 04, 2020 |
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MLOps #14 Kubeflow vs MLflow with Byron Allen
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May 28, 2020 |
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MLOps meetup #13 // Maximizing Job Opportunities as a Data Scientist on the Market With Anthony Kelly
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May 27, 2020 |
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MLOps meetup #12 // Why Data Scientists Should Know Data Engineering with Dan Sullivan
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May 21, 2020 |
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MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre
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May 16, 2020 |
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MLOps.community meetup #9 with Charles Martin - 10 Years Deploying Machine Learning in the Enterprise: The Inside Scoop!
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May 14, 2020 |
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MLOps.community #10 - MLOps - The Blind Men and the Elephant with Saurav Chakravorty
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May 08, 2020 |
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MLOps.community meetup #8: Optimizing your ML workflow with Kubeflow 1.0 with Josh Bottom VP of Arrikto
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May 01, 2020 |
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MLOps meetup #7- Machine Learning and Open Banking with Alex Spanos of TrueLayer
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Apr 24, 2020 |
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MLOps.community #6 - Mid Scale Production Feature Engineering with Dr. Venkata Pingali
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Apr 16, 2020 |
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MLOps.community #5 - High Stakes ML: Latent Conditions and Active Failures with Flavio Clesio
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Apr 15, 2020 |
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MLOps.community #4 - Building an ML platform @SurveyMonkey with Shubhi Jain
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Apr 10, 2020 |
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Hierarchy of Machine Learning Needs // Phil Winder // MLOps Meetup #3
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Apr 03, 2020 |
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What Does Best in Class AI/ML Governance Look Like in Financial Services? // Charles Radclyffe // MLOps Meetup #2
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Mar 26, 2020 |
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Our 1st MLOps Meetup // Luke Marsden // MLOps Meetup #1
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Mar 23, 2020 |