Future of Real-Time Data Processing Panel Discussion

Session Overview

As businesses increasingly demand instant insights and seamless decision-making, the real-time data processing space is rapidly evolving. This keynote explores the profound impact of real-time streaming on AI and automation, highlighting how vendors like Snowflake, Databricks, Fivetran, and Starburst are now integrating streaming into their core offerings. With real-time data becoming a strategic business necessity, its role in driving innovation within machine learning and AI applications is undeniable. We'll examine the intersection of AI and data streaming, where real-time data enables smarter automation and AI models that can learn and react in the moment. Moreover, the rise of open standards such as Apache Iceberg is creating a future-proof, scalable, and resilient infrastructure that ensures businesses can adapt to the ever-changing technological landscape, all while optimizing costs. Join us to uncover why streaming workloads are no longer just operational add-ons—they are now essential for competitive advantage in the data-driven world.

About Speaker

Charles Xie CEO and Co-founder of Zilliz

Ryan Blue CEO and Co-founder of Tabular

Sanjeev Mohan Principal Analyst

Sijie Guo Sijie’s journey with Apache Pulsar began at Yahoo! where he was part of the team working to develop a global messaging platform for the company. He then went to Twitter, where he led the messaging infrastructure group and co-created DistributedLog and Twitter EventBus. In 2017, he co-founded Streamlio, which was acquired by Splunk, and in 2019 he founded StreamNative. He is one of the original creators of Apache Pulsar and Apache BookKeeper, and remains VP of Apache BookKeeper and PMC Member of Apache Pulsar. Sijie lives in the San Francisco Bay Area of California.