AI Meetup (Virtual): Real Time Event Data Processing

Jun 20, 09:00 AM PDT
  • Virtual () AICamp
  • 170 RSVP

Welcome to the weekly AI/ML/Data virtual meetup, which you can join from anywhere around the world. Join us for deep dive tech talks on AI/ML/Data, networking with speakers&peer developers, and win lucky draw prizes.

Agenda (PDT):
* 9:00am: Welcome/community update/Sponsor intro
* 9:10am: Tech talks
* 10:00am: Opening discussion, Lucky draw and Mixer

Tech Talk: Declarative Reasoning with Timelines: The Next Step in Event Processing
Speaker: Ryan Michael, VP of Engineering @Datastax
Abstract: At the heart of modern data processing lies events. Events describe the roughest, most complete picture available of what has happened in the world, and practically every form of data processing ultimately begins with events.
While the power of event processing has increased since the emergence of streaming data processing, current systems are still difficult to use when working on problems that deal with time and order, such as predictive AI/ML. Handling these problems requires a new kind of query language - a way to declaratively reason about events over time.
In this talk, we introduce the concept of timelines. Timelines are an intuitive abstraction for reasoning about temporal values. They support a broad range of useful operations which can be efficiently computed at scale. We will demonstrate the power and differentiation of timelines:
- How timelines allow declarative queries over events and time in a simple and intuitive manner
- Why timelines are ideal for applications such as behavioral predictions, trend analysis, and forecasting, and how existing solutions such as streaming SQL fall short.
- How to execute timeline based queries using the open-source Kaskada event-processing engine.

Tech Talk 2: TBD

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- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
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Ryan Michael

Ryan leads strategy and community development for Kaskada, an open-source project focused on a novel event processing engine that utilizes stream-native query abstractions to simplify time-based reasoning. As Kaskada VP of Engineering and technology co-creator, Ryan was instrumental in the company evolution from a SaaS startup to an open-source project, following its acquisition by DataStax earlier this year. Before Kaskada, Ryan served as a principal engineer at ReturnPath.
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