Pharma Chain: Blockchain-Based Drug Traceability System - Hyperledger Healthcare SIG
Explore blockchain-based drug traceability with Pharma Chain, presented by Soya Chandra C.S from Kerala Blockchain Academy.
AI and Blockchain-Enabled Future Wireless Networks
Explore how AI and blockchain technologies can revolutionize future wireless networks, enhancing efficiency and security in telecommunications.
Splice: Extending Canton Network Interoperability and Harnessing Tokenomics
Explore Canton Network's interoperability and tokenomics through Splice, a new Hyperledger Lab. Learn about network components, development opportunities, and contribute to this $3T asset tokenization platform.
Obtaining New Insights on Model Behavior with Fiddler - MLOps Meetup #110
Gain insights on model behavior using Fiddler for monitoring, explainability, and analysis. Learn to instrument ML models for observability, register models, and publish events to understand data drift and underperforming cohorts.
Managing Machine Learning Projects - From Design to Deployment
Explore ML project management strategies, from setup to production integration. Learn to navigate challenges, assess models, and align with business processes for successful implementation.
MLOps for Ad Platforms - Lessons from Ad Tech - Coffee Session 130
Explore MLOps in ad platforms with Andrew Yates. Learn about designing ML components, monitoring systems, and optimizing billion-dollar content marketplaces for long-term revenue and user experience.
Unleashing Sensitive Datasets with Distributed Data Science
Explore distributed data science techniques for extracting value from sensitive datasets while maintaining privacy and security. Learn about federated machine learning, secure aggregation, and practical applications in various configurations.
Real-time Machine Learning - MLOps Coffee Sessions
Explore real-time machine learning with Chip Huyen, covering learning strategies, MLOps challenges, and streaming complexities. Gain insights on when to implement real-time solutions and avoid common company mistakes.
Building Threat Detection Systems - An MLE's Perspective
Explore threat detection systems from an MLE's perspective. Gain insights on rule engines, testing ML models, and the importance of writing for professional development in MLOps.
Real-Time Machine Learning: Features and Inference - MLOps Podcast #135
Explore real-time ML features and inference with LinkedIn experts. Gain insights on implementation, challenges, and best practices for moving from batch to interactive near real-time machine learning.
Systems Engineering in Machine Learning - Navigating Low-Level Challenges
Explore systems engineering in ML with Andrew Dye, discussing low-level work, blending disciplines, and ML infrastructure challenges. Gain insights on distributed training, managing scale, and bridging gaps between firmware and MLOps.
Machine Learning Operations - What is it and Why Do We Need It?
Explore Machine Learning Operations (MLOps) with expert Niklas Kühl, discussing its definition, importance, and practical applications in industrial ML projects for effective automation and operationalization.
Explainability in the MLOps Cycle - MLOps Podcast Episode 138
Explore explainability in MLOps with Dattaraj Rao. Gain insights on rule-based systems, ML model deployment, and emerging trends in AI. Learn about responsible AI and practical applications in various industries.
Foundational Models in Enterprise AI - Challenges and Opportunities
Explore the future of AI with foundation models, their enterprise applications, and challenges. Learn about Snorkel AI's approach to optimizing these models for cost, quality, and control.
The Motivation for MLOps - Architectural Perspective
Explore MLOps adoption motivations, key areas, and architectural perspectives with Steven Fines. Gain insights on ML solution development, operations, and enterprise integration challenges.
Accelerating ML with Kubeflow for Autonomous Vehicles
Explore how Aurora Innovation accelerates ML model development for autonomous vehicles using Kubeflow, covering infrastructure evolution, pipeline building, and organization-wide adoption.
Let's Talk About Raw Documents - Extracting Structured Data for ML Pipelines
Explore raw document processing for ML pipelines with Unstructured.io's open-source tools. Learn to extract structured data, build custom preprocessing APIs, and integrate with popular ML frameworks.
Machine Learning in Production: A Data Scientist's Perspective from Ubisoft
Explore ML in production at Ubisoft with Jean-Michel Daignan. Gain insights on platform development, SDK tools, generative AI, and balancing value delivery with rapid development in the gaming industry.
How a Manager Became a Believer in DevOps for Machine Learning
Explore insights on leading data teams, improving as a software engineer, and migrating from monolith to microservices in healthcare. Learn from Keith Trnka's experience in NLP, machine learning, and telemedicine.
Declarative MLOps: Streamlining Model Serving on Kubernetes
Explore declarative MLOps on Kubernetes for streamlined model serving. Learn containerization, CI/CD with GitOps, and best practices for scalable, high-velocity ML deployments using native K8s operators.
Solving the Last Mile Problem of Foundation Models with Data-Centric AI
Explore data-centric AI techniques to enhance foundation models' accuracy for complex, high-value use cases. Learn to overcome hallucinations, biases, and misclassifications in real-world AI applications.