Build Continuous Data and AI Pipelines with BigQuery Continuous Queries
Revolutionize data engineering with BigQuery continuous queries for real-time AI insights. Explore event-driven pipelines using Vertex AI, Pub/Sub, and Bigtable through Cloud SQL.
Optimizing BigQuery Operations for Large-Scale Data Management
Harness BigQuery for robust data-driven culture, processing petabytes daily. Learn strategies to boost efficiency and cost-effectiveness for large-scale operations.
Bringing Machine Learning to Streaming Data - Dataflow ML Innovations
Deploy and manage ML pipelines for streaming data, including inference, image classification, and custom model handling. Learn from Spotify's experience in large-scale ML podcast preview generation.
Orchestrating Generative AI with Workflows
Explore orchestrating generative AI calls using Workflows, with a demo on parallelizing AI for summarizing large text volumes efficiently.
Getting Started with OpenSearch and OpenSearch Dashboards
Learn to set up and use OpenSearch for powerful search and analytics. Master cluster configuration, dashboard creation, and best practices for effective data visualization and management.
Data Morph: A Cautionary Tale of Summary Statistics
Explore Data Morph, an open-source tool challenging summary statistics assumptions. Learn to uncover hidden truths in datasets through innovative visualization techniques and reshape your approach to data analysis.
Generative AI in E-Commerce
Explore the impact of generative AI on e-commerce with IEEE Fellow Haixun Wang. Gain insights into semantic search, NLP, and data engineering applications in online retail platforms.
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.
Eliminating Garbage In/Garbage Out for Analytics and ML
Discover strategies to eliminate bad data at the source, improve data quality ownership, and enhance observability in Analytics/ML stacks. Learn from experts in data engineering and product management.
MLOps at the Age of Generative AI - Podcast Episode 169
Explore MLOps in the era of generative AI with insights on developing, training, and serving large language models. Gain practical knowledge on evaluating use cases and addressing challenges in AI product development.
MLOps vs ML Orchestration - Exploring Challenges and Community-Driven Development
Explore MLOps vs ML Orchestration with Ketan Umare, discussing Union.AI, Flyte, community-driven development, real-time data handling, and democratizing machine learning for broader accessibility and efficiency.
Model Blind Spot Discovery for Better Models and Ingesting Chaos - Mini Summit #2
Discover techniques for model blind spot detection and handling unstructured data at scale. Learn to build resilient AI models through data diagnosis, enhancement, and automated evaluation systems.
Scaling MLOps for Computer Vision - MLOps Mini Summit Meetup 4
Explore MLOps strategies for scaling computer vision, including Flyte for AI product development, its application at Recogni, and lessons from running AI models at scale for planetary satellite imagery analysis.
MLOps at the Crossroads - Challenges and Future Directions
Explore MLOps challenges, LLM applications, and industry trends with experts Patrick Barker and Farhood Etaati. Gain insights on tool adoption, OSS MLOps, and the future of AI implementation in various sectors.
How Data Platforms Affect Machine Learning and Artificial Intelligence - MLOps Podcast
Explore how data platforms impact AI and ML applications, covering foundations, design patterns, data quality, and team structures for effective ML implementation.
Managing Data for Effective GenAI Application - MLOps Podcast #216
Explore data management strategies for effective GenAI application with QuantumBlack AI experts. Learn about challenges, solutions, and best practices for scaling impact and improving data quality in organizations.
The Rise of Modern Data Management - MLOps Podcast #226
Explore modern data management practices, including data contracts and observability, to improve handling and decision-making in the age of AI and cloud computing.
Open Standards Make MLOps Easier and Silos Harder - MLOps Podcast Episode 234
Explore open standards in MLOps for easier data system integration, scalability, and collaboration. Learn about Ibis, Apache Arrow, and their impact on data engineering and machine learning workflows.
Build Reliable Systems with Chaos Engineering - MLOps Podcast #237
Explore chaos engineering to build reliable systems under unpredictable conditions. Learn benefits, trends, and integration with ML systems for improved resilience and observability.
AI Operations Without Fundamental Engineering Discipline - MLOps Podcast #250
Explore the anti-AI hype trend and learn how to bridge the gap between management and tech for effective AI implementation. Gain insights on balancing engineering fundamentals with AI initiatives.