For the 8th annual Data Day Texas (2018), we will be hosting a sub-conference focusing on Artificial Intelligence, Deep Learning, and related topics - Austin AI Weekend. Except for a few special workshops, all AI content will be included in your Data Day Texas ticket. No need to buy a separate ticket. There will also be pre and post conference AI events open to all Data Day Texas ticket holders.
Who's speaking at AI Weekend
This week, we'll begin to announce the first wave of speakers. Bookmark this page for the latest news.
John Akred is the Founder and CTO of Silicon Valley Data Science. In the business world, John Akred likes to help organizations become more data driven. He has over 15 years of experience in machine learning, predictive modeling, and analytical system architecture. His focus is on the intersection of data science tools and techniques; data transport, processing and storage technologies; and the data management strategy and practices that can unlock data driven capabilities for an organization. A frequent speaker at the O'Reilly Strata Conferences, John is host of the perennially popular workshop: Building A Data Platform.
John will be giving the following presentation: Machine Learning: From The Lab To The Factory
Haikal Pribadi is the Founder and CEO of GRAKN.AI, the database for AI. His interest in the field began at the Monash Intelligent Systems Lab, where he built an open source driver for the Parallax Eddie Robot which was then adopted by NASA. After which, he completed a masters degree in AI from the University of Cambridge. Haikal was also the youngest Algorithm Expert behind Quintiq’s Optimisation Technology behind some of the world’s largest supply chain systems in transportation, retail and logistics. He now works on GRAKN.AI, a distributed knowledge base with that uses machine reasoning to handle and interpret complex data. GRAKN.AI was recently awarded Product of the Year 2017 by the University of Cambridge Computer Lab.
Haikal will be speaking as part of AI Weekend.
Jonathan Mugan (Austin) @jmugan
Jonathan Mugan (Linkedin) is a researcher specializing in artificial intelligence, machine learning, and natural language processing. His current research focuses in the area of deep learning for natural language generation and understanding. Dr. Mugan received his Ph.D. in Computer Science from the University of Texas at Austin. His thesis was centered in developmental robotics, which is an area of research that seeks to understand how robots can learn about the world in the same way that human children do. Dr. Mugan also held a post-doctoral position at Carnegie Mellon University, where he worked at the intersection of machine learning and human-computer interaction. One of the most requested speakers at the Data Day Texas conferences, he recently also spoke on the topic of NLP at the O’Reilly AI conference, and is the creator of the O’Reilly video course Natural Language Text Processing with Python. Dr. Mugan is also the author of The Curiosity Cycle: Preparing Your Child for the Ongoing Technological Explosion.
Haikal will be speaking as part of AI Weekend.
Some shots from previous Data Day Texas events:
Emil Eifrem of Neo4j speaking at the most recent Data Day Texas.
Chris Moody of StitchFix speaking at the most recent Data Day Texas.
Jonathan Morgan of Deep Grammar speaking at the most recent Data Day Texas.
