Vertex AI Networking Patterns - Private Service Connect and Google APIs Demo
Explore Vertex AI networking patterns, focusing on Private Service Connect for Google APIs and Private Google Access. Includes a demo of private connectivity to generative AI language in Vertex Studio.
Generative AI Application Development Best Practices with Cloud SQL for PostgreSQL
Unlock PostgreSQL best practices for app development, covering GKE deployments, pgvector for Gen AI, performance optimization, and observability strategies.
Introduction to Generative AI
Explore the fundamentals of Generative AI, its applications, model types, and usage principles in this concise overview.
What's New in Google Cloud - AI and Developer Innovations
Explore Google Cloud's latest innovations in generative AI and other areas to boost developer efficiency and velocity, with American Sign Language interpretation.
The Data Professional in the Era of Generative AI
Explore the convergence of DataOps, MLOps, and LLMs in the era of generative AI. Learn how data analytics and machine learning applications are evolving and creating value for organizations.
Business Intelligence in the Era of GenAI
Explore the impact of generative AI on business intelligence, including trends, examples, and value creation for organizations in the evolving data landscape.
AI: The Future of Data Analytics Ecosystem in the World of GenAI
Explore the impact of Generative AI on data analytics ecosystems, discussing trends, applications, and future developments in enterprise use cases.
Data and AI Strategy in the Era of GenAI
Explore the convergence of Data Analytics and AI in the era of GenAI. Learn about trends, challenges, and opportunities in this rapidly evolving field, with insights from Google Cloud experts.
Data Warehousing in the Era of GenAI
Explore the impact of GenAI on data warehousing, including trends, applications, and critical considerations for organizations in the evolving Data Analytics ecosystem.
Exploring Google Cloud's Data and AI Foundation
Discover Google Cloud's data and AI advantages, including Generative AI integration, infrastructure benefits, and real-time data matching across structured and unstructured sources.
Connecting Gemini to Real-World Data Using LangChain's Open-Source Capabilities
Explore LangChain's integration with Vertex AI to connect LLMs to external data and APIs. Enhance natural language interactions, automate complex workflows, and create powerful chatbots using real-time data.
Improving Productivity with Gemini in the Google Cloud Console
Boost productivity with Gemini in Cloud Console: Learn 3 advanced techniques for enterprise IT admins to streamline operations and enhance expertise.
Build Real-World Apps with Flutter, Firebase, and Gemini - A Live Coding Exploration
Harness Flutter, Firebase, and Gemini to build dynamic apps. Learn Firestore, Storage, and AI coding with Gemini for intelligent application development.
Accelerating Generative AI with Vertex AI Studio - Put Your Prompts on the Fast Track
Optimize prompt management for AI models using Vertex AI Studio. Learn end-to-end lifecycle, rapid evaluation, and automatic improvements for faster production.
Redefining Vector Search for Generative AI Application Development
Explore cutting-edge vector search algorithms for generative AI apps, leveraging Google's decade of research for enterprise-scale solutions.
Real-time Operational Data Streaming for Analytics and Generative AI Apps Using Datastream
Explore serverless data streaming for operational analytics and AI apps with Datastream, featuring insights from RocketMoney and Intuit Mailchimp.
Understanding Generative AI: RAG, Semantic Search, Embeddings, and Vectors
Explore key Generative AI concepts like RAG, semantic search, embeddings, and vectors. Understand their importance in leveraging AI with your data for improved information retrieval and processing.
Building Production Copilots - Part 2
Explore UI paradigms, design patterns, and challenges of production copilot systems embedded in SaaS applications leveraging LLMs and generative AI models.
Linguistically-Informed LLMs Perform Better
Explore how linguistics enhances LLM performance and shapes future improvements in AI language models.
Bringing Structure to Unstructured Data with an AI-First System Design
Explore AI-powered data systems for unstructured content, addressing challenges and sharing key lessons for end-to-end applications in enterprise environments.
What Drives GenAI Development in the Next 3 Years - LLMs in Production Conference
Explore key drivers shaping Generative AI's future, including scaling laws, agents, multi-modality, and open-source contributions, while addressing challenges like GPU shortages and regulations.