Define a data strategy that delivers business impact. Seven key questions to align data efforts, balance short-term wins, and engage the right stakeholders.
Confluent and Databricks integrate to enable real-time AI, combining governance and event-driven learning for fraud detection, personalization, and automation.
Train ultra-fast static embedding models on CPUs while maintaining high accuracy. Explore two new models and open-source scripts for efficient AI applications.
Deep dive into techniques like inference scaling and reinforcement learning to enhance LLMs for complex problem-solving, using DeepSeek R1 as a case study.
How knowledge graphs, multi-agent AI, and RAG workflows improve enterprise decision-making and governance.
Navigating AI legal risks, compliance hurdles, and the rise of AI regulation.
Using knowledge graphs to refine LLMs, boost accuracy, minimize hallucinations, and enhance decision-making.
Step-by-step guide to building a local RAG-powered app for querying PDFs securely with LangChain and vector databases.
A comprehensive breakdown of LLMs, their training stack, and best practices for real-world applications.
In this panel, experts share best practices to help data leaders integrate governance into their strategies for better decision-making.
ETL has evolved into EL + in-platform transformation, making data modeling and optimization the focus of modern engineering.
Golden Paths simplify complex workflows, turning data engineering into a strategic enabler for innovation.
Sessions on large-scale ML deployment and AI-driven model development at Truecaller and more.