Unleash the Power of Vector Search and Multimodal Embeddings in BigQuery
Generate and search multimodal embeddings in BigQuery for enhanced data exploration, pattern recognition, and clustering, leading to faster insights and decision-making.
Harness AI for Better Business Intelligence - What's New and How to Apply It
Explore AI-driven advancements in business intelligence, focusing on Gemini in Looker for data-driven insights and application development with Google's BI suite.
Power Data Analytics with Generative AI Using BigQuery and Gemini
Leverage BigQuery's ML capabilities and Gemini AI for advanced data analytics, sentiment analysis, and entity extraction.
Advanced Productivity for Data Science with Vertex AI
Explore Vertex AI's features to enhance data science productivity, including Workbench, AI Studio, and Colab Enterprise.
Dev to DevAI - The Future of App Development with Analytics and Generative AI
Explore the intersection of real-time analytics and generative AI in app development, revolutionizing business strategies and technological innovation.
Accelerate Insights with Natural Language-Driven Analytics in BigQuery
Explore BigQuery's new natural language-driven analytics experience for faster data-to-insights journey across discovery, processing, querying, and visualization.
How to Define a Storage Infrastructure for AI and Analytical Workloads
Optimize AI/ML data pipelines at scale by selecting the right storage solutions for data preparation, training, inference, and serving. Integrate with Compute Engine, GKE, or Vertex workflows.
Managing Google Cloud Storage at Scale with Gemini
Explore new GCS features for cost optimization, security, and governance at scale. Learn about Storage Insights Datasets, Gemini-powered insights, and data movement capabilities.
How to Use Google Cloud Storage to Unify Data for Analytics Workloads
Unify data analytics workloads with Google Cloud Storage. Learn to scale, achieve consistency, and reduce costs while integrating with BigQuery, Hadoop, Spark, and Kafka.
Next-Generation Data Analytics with BigQuery and PaLM
Explore advanced data analytics using BigQuery's ML capabilities and Vertex AI's large language models for sentiment analysis, entity extraction, and more.
High Performance Computing Workloads on Google Cloud
Explore Google Cloud's HPC solutions for critical workloads, infrastructure advancements, and customer deployments in computational sciences and AI/ML.
Quality Assurance and Machine Learning Model Validation
Explore key steps in machine learning model validation and quality assurance, from bias detection to data leak prevention, enhancing your MLOps process.
Feature Selection for Machine Learning
Explore feature selection methods for machine learning, including filter, wrapper, and embedded approaches. Learn to choose the most predictive variables for production-ready models.
Data Ethics - Mitigating Bias in Algorithms
Explore strategies for mitigating bias in AI algorithms, addressing a critical challenge faced by tech companies to build consumer trust and ensure ethical AI development.
Data Storytelling and Visualization
Learn effective techniques for communicating data-driven concepts through storytelling and visualization, applicable to both expert and non-expert audiences.
OpenTelemetry Collector Configuration - Mastering Setup and Deployment
Master OpenTelemetry Collector configuration through expert insights and hands-on demonstrations. Gain practical knowledge on components, setup options, and best practices for effective implementation.
Open Source Success: Learnings from 1 Billion Downloads
Explore insights from analyzing 1 billion open-source downloads. Learn about usage patterns, global adoption, and key metrics to understand the true impact of your open-source projects.
OpenTelemetry 101 - A Guide to Tracing, Metrics, and Logs
Explore OpenTelemetry fundamentals, including tracing, metrics, and logs. Learn core concepts, application instrumentation, and infrastructure through hands-on demos and practical insights.
Netdata: Open Source Distributed Observability Pipeline
Explore Netdata's open-source distributed observability pipeline, addressing challenges in monitoring, real-time analytics, and AI-powered correlations for comprehensive system insights.
Optimizing Apache Spark and SQL for Improved Performance
Enhance Apache Spark and SQL performance through optimization techniques. Learn strategies for improved efficiency in data processing and analysis.
Unlocking LLM Potential: A Journey with APIs
Explore LLM potential through APIs, covering environment setup, basics, chat conversations, and practical demonstrations. Gain insights and lessons for effective implementation.