Personalized Recommendations and Search with Retrieval and Ranking at Scale - Hopsworks Workshop
Implement personalized recommendations using retrieval and ranking architecture with two-tower embedding models. Learn offline and online infrastructure for scalable, low-latency systems on Hopsworks platform.
Top 5 Lessons Learned in Helping Organizations Adopt MLOps Practices
Discover key insights and strategies for implementing MLOps practices at scale. Learn common challenges and effective mitigation techniques for successful organizational adoption.
Implementing MLOps Practices on AWS using Amazon SageMaker
Implement ML pipelines with CI/CD practices using SageMaker Pipelines. Gain hands-on experience in MLOps, incorporating DevOps principles into machine learning workflows for scalable and efficient model deployment.
Defending Against Decision Degradation with Full Spectrum Model Monitoring - Case Study and AMA
Explore Lyft's comprehensive ML model monitoring system, preventing degradation in high-stakes decisions for pricing, safety, and fraud detection. Learn about real-time validation and cultural shifts in ML practices.
Lessons Learned from DAG-Based Workflow Orchestration
Explore DAG-based workflow orchestration challenges and learn about Prefect Orion's DAG-less system for enhanced runtime flexibility and developer experience in data pipelines.
Hands-on Workshop: Create Machine Learning Retraining Pipelines
Develop ML retraining pipelines using Kubernetes and Kubeflow. Master advanced techniques for efficient model updates and deployment in production environments.
Production ML for Mission-Critical Applications
Explore rigorous approaches for deploying ML in production, addressing scalability, testability, and performance analysis. Learn about TensorFlow Extended for large-scale applications.
What Engineers Don't Get About Working with Data Scientists
Explore challenges and solutions in engineer-data scientist collaborations for operational ML. Gain insights on effective teamwork, process integration, and overcoming common hurdles in MLOps.
UnionML: A Microframework for Building Machine Learning Applications
Explore UnionML, a microframework simplifying ML application development. Learn to streamline the process from research to production, addressing common challenges in the ML lifecycle.
Building Real-Time ML Features with a Feature Platform
Explore challenges in deploying ML pipelines and learn how feature stores and platforms solve data problems for production ML, enabling real-time processing and scaling.
The Critical Things You Have to Build to Transform Your Company to be ML Driven
Discover key components for transforming your company into an ML-driven organization. Learn strategies for overcoming challenges in the machine learning development lifecycle and deploying models effectively.
What Every Product Manager Delivering AI Solutions Should Know
Explore key insights for product managers in AI/ML, focusing on user adoption, team communication, and impactful solution development. Learn from industry experts' experiences and best practices.
Becoming an ML Platform Power Builder with ML Observability
Discover best practices for building effective ML platforms. Learn key components, justification strategies, and how ML infrastructure differs from software infrastructure.
CyclOps: A Framework for Data Extraction, Model Evaluation and Drift Detection in Clinical Machine Learning
Explore CyclOps, a unified framework for healthcare ML, enabling data extraction, model evaluation, and drift detection in clinical settings. Streamline development of robust AI models.
Airflow: Where Data Engineers and ML Engineers Meet
Explore Apache Airflow's role in operational machine learning with a real-world demo and reference implementation of GenAI in production.
Scouter Models for Concept Drift Detection in MLOps
Explore techniques for detecting concept drift in ML models without true labels using Scouter models. Learn to build, manage, and implement this critical MLOps monitoring strategy.
A Kafka Producer's Request: From Send() to Disk and Back
Explore the lifecycle of Kafka producer requests, from initial call to disk storage and back, enhancing your debugging and performance analysis skills for Apache Kafka.
First Look at Positron - Exploring Orca Encounters
Explore orca encounters using Positron, a next-generation data science IDE, in this hands-on demonstration of its capabilities and features.
Data and AI World Tour 2024 Bangkok - Deep Dive on Data Management, AI, and Industry Applications
Explore cutting-edge data and AI technologies, real-world applications, and industry insights from global experts. Gain knowledge on generative AI, data governance, and optimizing data intelligence for enterprise success.
Large Language Models and Future of Information Retrieval: Opportunities and Challenges - Lecture 1
Explore the impact of large language models on information retrieval, discussing future opportunities and challenges in search technology.
An Empirical Analysis on Multi-turn Conversational Recommender Systems - Lecture 3.2
Explore multi-turn conversational recommender systems through empirical analysis, examining their effectiveness and potential improvements in interactive recommendation scenarios.