MLOps Coffee Sessions
135 talks
Introducing DBRX: The Future of Language Models
PodcastWhy Purpose-built Vector Databases Matter for Your Use Case
PodcastModel Management in a Regulated Environment
PodcastTecton Round-table // Get your ML Application Into Production
PodcastReal-time Machine Learning
PodcastWhat is Data / ML Like on League?
PodcastLet's Continue Bundling into the Database
PodcastMLOps for Ad Platforms
PodcastVoice and Language Tech
PodcastManaging Machine Learning Projects
PodcastReliable Machine Learning
PodcastML Unicorn Start-up Investor Tells-IT-All
PodcastDatabricks Model Serving V2
PodcastTrustworthy Machine Learning
PodcastRecommender System: Why They Update Models 100 Times a Day
PodcastScaling Similarity Learning at Digits
PodcastBringing DevOps Agility to ML
PodcastFeathr: LinkedIn's High-performance Feature Store
PodcastMLOps at DoorDash
PodcastML Platforms, Where to Start?
PodcastData Engineering for ML
PodcastScaling Machine Learning with Data Mesh
PodcastHow Hera is an Enabler of MLOps Integrations
PodcastProduct Enrichment and Recommender Systems
PodcastBuilding Better Data Teams
PodcastMLflow Pipelines: Opinionated ML Pipelines in MLflow
PodcastTurning Redis into a Composable, ML Data Platform
PodcastJust Fetch the Data and then...
PodcastWhy You Need More Than Airflow
PodcastMLflow vs Kubeflow 2022
PodcastWhy and When to Use Kubeflow for MLOps
PodcastSpeed Up Data-Driven Value
PodcastLabeled Datasets that Correct Themselves Automatically
PodcastMLOps + BI?
PodcastMaking MLflow
PodcastFixing Your ML Data Blind Spots
PodcastDeclarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team
PodcastMLOps Critiques
PodcastGPU For Machine Learning
PodcastReal-time Model Inference in a Video Streaming Environment
PodcastReal-Time Processing with Apache Flink, Kafka, and Pinot
PodcastFastAPI for Machine Learning
PodcastMLOps as Tool to Shape Team and Culture
PodcastTraversing the Data Maturity Spectrum: A Startup Perspective
PodcastModel Monitoring in Practice: Top Trends
PodcastBuilding the World's First Data Engineering Conference
PodcastThe Shipyard: Lessons Learned While Building an ML Platform
PodcastBringing Audio ML Models into Production
PodcastA Journey in Scaling ML
PodcastML Platform Tradeoffs and Wondering Why to Use Them
PodcastDon't Listen Unless You Are Going to Do ML in Production
PodcastBuilding ML/Data Platform on Top of Kubernetes
PodcastMLOps at Stripe
PodcastLessons from Studying FAANG ML Systems
PodcastBetter Use Cases for Text Embeddings
PodcastPractitioners Guide to MLOps
PodcastInvesting in MLOps
PodcastThe Journey from Data Scientist to MLOps Engineer
PodcastPlatform Thinking: A Lemonade Case Study
PodcastCalibration for ML at Etsy
PodcastData Mesh: Data Quality Control Mechanism for MLOps?
PodcastBuild a Culture of ML Testing and Model Quality
PodcastTowards Observability for ML Pipelines
PodcastScaling Biotech
PodcastOn Structuring an ML Platform 1 Pizza Team
Podcast2021 MLOps Year in Review
Podcast2022 Predictions for MLOps and the Industry
PodcastBuilding for Small Data Science Teams
PodcastWikimedia MLOps
PodcastML Stepping Stones: Challenges & Opportunities for Companies
PodcastMachine Learning at Reasonable Scale
PodcastThe Future of Data Science Platforms is Accessibility
PodcastThe Future of AI and ML in Process Automation
PodcastPyTorch: Bridging AI Research and Production
PodcastI Don't Like Jupyter Notebooks
PodcastML Tests
PodcastLinkedIn Job Recommendations
PodcastData Selection for Data-Centric AI: Data Quality Over Quantity
PodcastThe Future of ML and Data Platforms
PodcastA Few Learnings from Building a Bootstrapped MLOps Services Startup
PodcastLearning and Teaching MLOps Applications
PodcastMachine Learning SRE
PodcastMLOps Insights
PodcastVector Similarity Search at Scale
PodcastML Security: Why should you care?
PodcastCreating MLOps Standards
PodcastAggressively Helpful Platform Teams
PodcastTour of Upcoming Features on the Hugging Face Model Hub
PodcastFast.ai, AutoML, and Software Engineering for ML
PodcastLearning from 150 Successful ML-enabled Products at Booking.com
PodcastEnterprise Security and Governance MLOps
PodcastAutonomy vs. Alignment: Scaling AI Teams to Deliver Value
PodcastMaturing Machine Learning in Enterprise
PodcastModel Performance Monitoring and Why You Need it Yesterday
PodcastCI/CD in MLOps
PodcastScaling AI in Production
PodcastMLOps: A Leader's Perspective
PodcastOrganisational Challenges of MLOps
PodcastMLOps Memes
PodcastLuigi in Production Part 2
PodcastWar Stories Productionising ML
PodcastMachine Learning at Atlassian
PodcastMLOps Investments
PodcastThe Godfather Of MLOps
PodcastMLOps Engineering Labs Recap, Part 2
PodcastMLOps Engineering Labs Recap, Part 1
PodcastCulture and Architecture in MLOps
PodcastLessons Learned From Hosting the ML Engineered Podcast
PodcastPractical MLOps
PodcastMachine Learning Feature Store Panel Discussion
PodcastMost Underrated MLOps Topics
PodcastMachine Learning Design Patterns
PodcastSRE for ML Infra
PodcastDeep in the Heart of Data
PodcastA Conversation with Seattle Data Guy
PodcastMonzo Bank - An MLOps Case Study
PodcastIntroducing Data Downtime: From Firefighting to Winning
PodcastLuigi in Production
PodcastCI/CD & Continuous Training in ML
PodcastData Engineering + ML + Software Engineering
PodcastMLOps + Machine Learning
PodcastHow to Choose the Right ML Tool
PodcastMLOps Coffee Sessions #14 Conversation with the Creators of Dask
PodcastJourney of Flyte at Lyft and Through Open-source
PodcastAnalyzing "Continuous Delivery and Automation Pipelines in ML", Part 3
PodcastContinuous Delivery and Automation Pipelines in ML, Part 2
PodcastContinuous Delivery and Automation Pipelines in Machine Learning, Part 1
PodcastMLOps from the Perspective of an SRE
PodcastMLOps and DevOps, Parallels and Deviations
PodcastContinuous Integration for ML
PodcastAirflow in MLOps
PodcastA Conversation Around Feature Stores
PodcastMLOps: Isn't That Just DevOps?
PodcastDifferent Ways of Serving ML Models
PodcastServing Models with Kubeflow