MLOps - Machine Learning Operations
Learn MLOps essentials: deployment, monitoring, feature stores, and CI/CD pipelines. Hands-on with Azure, Kubernetes, TFX, and cloud platforms for efficient machine learning operations.
MLOps on Azure Databricks with MLflow
Explore MLOps on Azure Databricks with MLflow, focusing on Model Registry, Webhooks, and automated pipelines for effective machine learning model lifecycle management and deployment.
Implementing Data Capture for ML Observability and Drift Detection
Explore the implementation of data capture for machine learning observability and drift detection in this 24-minute conference talk by Pushkar Garg. Dive into the complexities of modern ML systems, including data pipelines and transformations across mult…
Turn Data Chaos into AI Strategy with Programmatic AI Data Development
Discover how programmatic data development is revolutionizing enterprise AI specialization in this 27-minute talk by Elena Boiarskaia, Head of Applied Machine Learning at Snorkel AI. Learn about the transformation from disconnected, manual data tasks to…
Building Hyper-Personalized LLM Applications with Rich Contextual Data - DE4AI
Explore the concept of Full RAG (Retrieval-Augmented Generation) and its potential to revolutionize user experiences across industries in this 28-minute talk by Mike Del Balso, co-founder of Tecton. Examine four levels of context personalization, from ba…
Unified Data and AI Governance with Unity Catalog
Explore the challenges of fragmented governance in multi-vendor data and AI landscapes and discover how Unity Catalog can revolutionize your organization's governance strategy. Learn about the complexities and inefficiencies arising from tool sprawl in c…
11 Lessons Learned from Doing AI Deployments - DE4AI
Discover 11 crucial lessons for successful AI product deployments in this insightful 36-minute talk by Sol Rashidi, a renowned AI innovator and business executive. Gain valuable insights from Sol's extensive experience of building over 200 POCs and deplo…
Reproducible Data Science Over Data Lakes
Explore reproducible data science techniques for data lakes in this 12-minute conference talk by Ciro Greco, presented at DE4AI. Delve into the challenges of achieving reproducibility in Lakehouse architectures and discover recent advancements made at Ba…
Data Contracts and Observability: Complementary Approaches to Data Quality
Explore the critical roles of data contracts and observability in ensuring data quality and reliability in this 14-minute talk by Mark Freeman. Gain insights into how these two approaches complement each other, with data contracts preventing known issues…
Scaling Data Reliably: A Journey in Growing Through Data Pain Points
Explore the challenges and solutions in scaling data systems reliably in this 16-minute conference talk by Miriah Peterson at MLOps.community. Delve into the concept of Data Downtime and its impact on business outcomes. Learn how Data Reliability Enginee…
An Overview of Common ML Serving Architectures
Explore common machine learning serving architectures in this 18-minute conference talk by Rebecca Taylor, tech lead of Personalization at Lidl e-commerce. Gain insights into the disconnect between academic teachings and industry practices in model deplo…
Data Engineering for Streamlining the Data Science Developer Experience - DE4AI
Explore the challenges and solutions in data engineering for optimizing the data science developer experience in this 12-minute talk by Aishwarya Joshi from Chime. Discover how to enable efficient feature engineering and deployment for low-latency infere…
Partnering with Product for Effective Data Ingestion and Training Data
Discover strategies for effective collaboration between data science and product teams in this 19-minute talk by Daniela Santisteban from MLOps.community. Learn how to leverage product management partnerships to ensure quality data ingestion and training…
The Evolution of Lyft's ML Feature Store
Explore the evolution of Lyft's machine learning feature store in this 13-minute conference talk presented by Devon Mittow, a Staff Data Engineer with over a decade of experience in data engineering across various industries. Gain insights into how Lyft'…
Chronon: Airbnb's Open-Source Data Platform for AI and ML Applications
Explore Chronon, an open-source data platform for AI and ML applications, in this 13-minute talk by Nikhil Simha, CTO and co-founder of zipline.ai. Discover the technical problems Chronon solves and how organizations can leverage it to accelerate their A…
From Notebook to Kubernetes: Scaling GenAI Pipelines with ZenML
Explore a lightning talk demonstrating how ZenML, an open-source MLOps framework, facilitates the seamless transition from local development to cloud-scale deployment of generative AI pipelines. Follow a workflow that begins in a Jupyter notebook with lo…
Optimizing CI/CD Model Management and Evaluation Workflows with Weights & Biases
Learn to enhance CI/CD pipelines for efficient deployment of top production models using Weights & Biases. Explore key concepts and benefits of effective CI/CD pipelines, implement W&B Registry as a central repository for models and datasets, and constru…
GenAI in Production with MLflow
Explore recent advancements in GenAI application lifecycle management with MLflow in this 20-minute talk by Ben Wilson, Tech Lead of the AI OSS Ecosystem team at Databricks. Discover supported integrations for GenAI application tracking, evaluation, depl…
AI-Powered Data Unification for Data Platforms
Explore the intersection of AI and data platforms in this 13-minute conference talk by Dr. Shelby Heinecke, an AI research team leader at Salesforce. Delve into the critical operation of data unification and discover how small, efficient Large Language M…
Putting the AI Back in Medallion Lake Design
Explore a comprehensive analysis of lakehouse design and its integration with AI in this insightful 13-minute talk by Simon Whiteley, a Databricks Beacon and Microsoft MVP. Delve into the challenges companies face when adopting lakehouses and learn how t…
Data Infrastructure Cost: Tips to Keep CFOs Happy
Discover strategies for reducing data infrastructure costs in AI-driven organizations in this 13-minute talk by Jose Navarro, an MLOps Engineer and Bristol Meetups Organizer for the MLOps Community. Learn how to effectively manage cloud expenses, share r…