New York Data and AI

Topic: Bridging Lake and Database: The Technology Behind Apache Doris Real-time Queries on Iceberg

Description:
The convergence of Data Lakes and Databases has become an inevitable trend in modern data infrastructure. While Data Lakes provide open, cost-efficient, and scalable storage, Databases excel in query performance, concurrency, and usability. The key challenge is how to combine the strengths of both worlds to achieve flexible yet high-performance real-time queriesa problem that is attracting growing industry attention.

In this talk, We will deep-dive into how Apache Doris supports real-time queries on Iceberg tables, covering:

• The background and industry trend of Data LakeDatabase convergence
• How Apache Doris integrates with Iceberg at the architectural level
• The core techniques behind Doriss real-time query engine: vectorized execution, smart caching and materialized view, etc.
• Typical real-world use cases and performance benchmarks of Doris on Iceberg
• A forward-looking perspective on the evolution of the Data Lakehouse ecosystem

By the end of this session, you will understand how Apache Doris empowers organizations to run low-latency, high-concurrency analytics directly on Data Lakes, and gain insights into the latest trends in data architecture.

Topic: Building the Next Generation of Enterprise AI: From Intelligent Automation to Document Search with RAG

Description: The promise of AI is here, but how do we move from hype to tangible business value? Organizations today are drowning in unstructured data and slowed by complex manual workflows. The next generation of enterprise AI offers a powerful solution, capable of not just automating tasks but understanding, reasoning, and interacting with information in unprecedented ways. Join Bibin Prathap, a Microsoft MVP for AI and a seasoned AI & Analytics Leader, for a deep dive into the practical architecture and application of modern enterprise AI. Drawing from his hands-on experience building an AI-driven workflow automation platform and a generative AI document explorer, Bibin will demystify the core technologies transforming the modern enterprise. This session will provide a technical roadmap for building impactful, scalable, and intelligent systems.

What You Will Learn:

• The fundamental architecture of a Retrieval-Augmented Generation (RAG) pipeline.
• Practical strategies for using NLP, embeddings, and vector databases to index and search enterprise documents.
• How to design and deploy AI agents for intelligent workflow automation.
• Best practices for moving from a proof-of-concept to a production-ready, enterprise-grade AI system.

Who Should Attend:

This session is designed for AI Engineers, Data Scientists, Software Architects, Developers, and Tech Leaders who are responsible for implementing AI solutions and driving digital transformation.