
Build an AI research agent using LangGraph, exploring its graph-based approach for flexible execution. Learn to integrate tools like GPT-4, Pinecone, arXiv, and Google for in-depth report generation on chosen topics.

Explore PepsiCo's data revolution using Unity Catalog, enhancing security, governance, and efficiency. Learn how this global platform streamlines data processes across multiple digital products and business units.

Data leaders discuss implementing generative AI, sharing real-world experiences, challenges, and strategies. Learn to bridge the gap from concept to deployment, break down data silos, and build a data culture embracing AI's transformative power.

Efficient scaling of RAG systems using Spark NLP: pre-processing, embedding calculation, post-processing, and integration with LangChain and HayStack for production-grade LLM systems.

Insights from migrating a massive immunization registry to Databricks, covering data understanding, file structure impact, compute requirements, and workflow optimization for healthcare analytics.

Explore vector search integration in Databricks for enhanced data retrieval. Learn fundamentals, implementation, optimization, and real-world applications to transform your data processes.

Unveiling a critical vulnerability in Argo CD, exposing Kubernetes clusters to privilege escalation attacks. Learn about the exploit, its impact, and essential mitigation strategies for GitOps security.

Learn to manually train an AI-powered voice assistant using OpenAI, Python, SQLite, and Google Voice. Covers system design, text and voice-based implementations, and code review.

Build a web app using Python, Bottle, and OpenAI API to analyze online images with computer vision, including SQLite integration for data storage.

Build a web app to compare LLM results using Ollama, Python, Bottle, and SQLite. Learn project architecture, setup, and coding for CLI and web interfaces.

Learn to create an AI-powered autoblog using Ollama, Llama2, Python, and Bottle. Rewrite existing blog content with LLM technology and store it in a database.

Learn to create an AI-powered autoblog using Python, Ollama, Beautiful Soup, Feedparser, and SQLite. Explore architecture, code examples, and best practices for automated content generation.

Live coding session: Build a GraphQL API with Spring Boot, Java & Maven. Load blog posts from JSON to Postgres database. Practical demonstration of GraphQL implementation in a Spring Boot environment.

Explore integrating time-series databases and tools like InfluxDB 3.0 and Bytewax to develop AI-driven applications for effective real-time data capture and management.

Unveiling Pydantic's latest innovation: a comprehensive demo and explanation of their newly announced platform, showcasing its features and potential impact on Python development.

Explore vector databases' unique features, including indexing, hybrid searches, and AI integration. Learn how they differ from traditional databases and their role in modern AI applications.

Explore classic and innovative data repository recipes using Spring, JPA, and NoSQL. Learn about result limits, keyset scrolling, and enhance applications with observability and metrics.

Learn to connect SQL databases in VS Code using Azure and SQLTools extensions. Create, modify, and interact with databases using Python and SQLAlchemy in this hands-on tutorial.

Explore hash table implementations in database systems and their impact on query processing efficiency. Includes a flash talk on RelationalAI's innovative approach to data management.

Explore memory and disk I/O management in database systems, covering buffer pool organization, replacement policies, and optimizations for efficient data access and storage.

Explore advanced SQL concepts and techniques for efficient database management and querying in modern systems.