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Computer Science
Artificial Intelligence
OpenAI
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Introduction to Graphic Illustration
The Science of Gastronomy
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Explore how Datavant and Databricks revolutionize health data sharing, enhancing medical research and patient care through privacy-preserving technology and improved data connectivity.
Explore Text-to-SQL implementation in large enterprises, focusing on model selection, fine-tuning, and performance optimization for accurate natural language querying in business intelligence contexts.
Explore recent MLflow features, including GenAI additions, and learn how to optimize machine learning workflows with practical examples and best practices for implementation.
Explore secure Databricks deployment on AWS for regulated industries, covering compliance, encryption, data governance, and workflow orchestration for stringent security requirements.
Explore key enhancements in Apache Spark 4.0: Spark Connect, Structured Logging, PySpark updates, expanded SQL capabilities, improved connectivity, and real-time data processing advancements for optimized analytics.
Explore Tableau's innovations for Lakehouse analysis, including Delta Sharing connector and AI-driven insights. Learn about secure data visualization and future developments in this expert-led session.
Explore interoperability between Databricks and AWS for generative AI, covering intelligent document processing, real-time and batch processing patterns, and a live demo of end-to-end offerings.
Explore Mistral AI's open-source LLMs, including Mixtral 8x7B and 8x22B, their MoE architecture, and API usage. Learn about building blocks, training strategies, and upcoming features.
Explore the history of large language models and discover Gemini, Google's advanced multimodal AI. Learn about its capabilities, applications, and potential impact on various industries.
Explore latest Databricks Workflows features: enhanced orchestration, run repairs, control flow, scheduling, and Python authoring. Live demos showcase innovations for ETL, analytics, and ML pipeline management.
Efficient PySpark processing for time series big data, enabling rapid custom calculations on rolling windows with constant time complexity, demonstrated using Sleep Number Smartbed sensor data.
Explore how Delta Sharing enables internal collaboration and data mesh architectures, unlocking data value across organizations. Real-world examples from McKesson's Ontada and Octopus Energy's Kraken Technologies.
Enhance data versioning in lakehouses using Delta Lake and lakeFS, enabling git-like semantics for improved time travel, data quality, and operational economics.
Explore Databricks' Lakehouse Observability approach, integrating tools for monitoring and optimizing data and AI workflows to support scalable, data-driven applications.
Explore Full RAG architecture for AI-driven hyperpersonalization, integrating real-time data and contextual insights to enhance recommendation systems beyond traditional models' capabilities.
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