The Ops in MLOps: Creating Cost-Effective and Compliant ML Environments
Explore techniques for creating cost-effective, secure, and compliant ML environments with proper data governance in MLOps.
Deploy High Scale ML Models Without the Hustle
Learn to build and operate production-grade ML systems, from model training to deployment and monitoring, using the Qwak platform for efficient, high-scale solutions.
Deploying Model Artifacts in Hard Mode
Automate and streamline complex model deployment processes across multiple products. Learn strategies for overcoming documentation gaps, ambiguous terminology, and legacy systems in a collaborative remote environment.
A Zero Downtime Setup for Models: How and Why
Discover techniques for achieving zero-downtime model updates and handling failures in production environments. Learn a robust setup to ensure continuous availability and reliability of deployed models.
Machine Learning for Entertainment - Challenges and Opportunities
Explore challenges and solutions in ML for streaming services, including personalization, content understanding, and ads targeting. Learn about balancing metrics, feedback loops, and algorithmic fairness.
Scaling ML Embedding Models to Serve a Billion Queries
Learn to scale ML embedding models for visual search, exploring eBay's architecture, workflows, and solutions to handle billions of queries efficiently.
Supercharging MLOps with the Petuum Platform
Explore innovations in Composable, Automatic, and Scalable ML (CASL) and their role in transforming MLOps into a repeatable assembly-line process using the Petuum Platform.
Human Centric MLOps - Why Productivity Matters the Most
Explore human-centric MLOps and its impact on productivity. Learn how focusing on people, not just systems, can revolutionize machine learning operations and drive innovation.
Deploying and Managing Machine Learning Models at Scale - A Hands-On Workshop
Deploy and manage ML models at scale. Hands-on workshop covers creation, deployment, monitoring, and management using real-life scenarios. Gain practical experience with Seldon Deploy, explainers, and outlier detection.
Critical Use of MLOps in Finance Using Cloud-Managed ML Services That Scale
Leverage MLOps to improve quality and consistency of machine learning solutions in finance. Accelerate model experimentation, deployment, and tracking using cloud-managed services for efficient scaling.
Managing Human in the Loop Systems Without Burning Out Your Engineers
Explore strategies for managing human-in-the-loop systems efficiently, focusing on Pinterest's approach to labeling, training, and measuring shopping content quality with minimal engineering effort.
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.
A Guide for Startups: Scaling a PoC to Production System Without Going Up in Smoke
Discover best practices for scaling AI proof-of-concepts to production systems. Learn to avoid common pitfalls, assess feasibility and ROI, and build a framework for successful implementation in startups.
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.
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.
Introduction to Model Deployment with Ray Serve
Learn to deploy ML models using Ray Serve. Explore Ray Core APIs, create scalable architectures, and integrate with MLflow and FastAPI. Gain hands-on experience in distributed computing and model deployment.
Best Practices and Success Strategies for Navigating Multicloud and AI - Oracle CloudWorld 2024
Explore proven strategies for optimizing multicloud environments and leveraging Oracle AI. Learn to enhance performance, scalability, and reliability while driving innovation and adhering to best practices.
Best Practices in HPC and HTC Environments
Discover best practices for optimizing performance in High Performance and High Throughput Computing environments.
Event-Driven Architecture - A Guide on Clerk Webhooks
Dive into event-driven architecture with Clerk Webhooks, exploring implementation techniques and best practices for building responsive, scalable applications.
Advanced Security Architecture Modelling - Integrating SOA, IoT, SCADA, and SABSA
Explore advanced security architecture modelling, integrating SOA, IoT, SCADA, and SABSA. Learn to create robust security solutions for modern enterprises and industrial systems, bridging gaps and ensuring future-proof protection.