
Explore hybrid search systems combining classic ranking and vector search. Learn best practices for enhancing relevancy, managing performance-accuracy tradeoffs, and scaling to production.

Explore multimodal RAG workflows for enhanced retrieval and generation, incorporating text, tables, and images. Live demo showcases PDF processing, vector database usage, and LLM-enriched responses.

Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.

Leverage NLP and RAG systems to extract insights from structured and unstructured data, generate actionable insights, and empower data-driven analysis without SQL.

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.

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.

Explore techniques for structuring and visualizing unstructured data in machine learning, from classification to Retrieval-Augmented Generation, using tools like UMAP and Renumics Spotlight to uncover patterns and evaluate model performance.

Explore cloud object storage implementation in RAG systems, covering LLM-OS concepts, domain-specific data handling, and practical applications for building AI-powered solutions with vector databases.

Mrs. Sana Shams explores how artificial intelligence can support language diversity and digital inclusion. Drawing from her own experiences, she discusses building speech-based chatbots for citizen services and regional collaborations that made computing accessible in 11 local languages. Her talk hi