XAI West 2018 Session Schedule

Accelerate AI Schedule

Schedule Guide for Pass Holders

The Accelerate AI schedule is for Wednesday October 31st, and Thursday November 1st September 19th. It is available to Accelerate AI 2 Day & 4 Day pass holders and ODSC Platinum Business, and VIP pass holders

The ODSC Talks/Workshop schedule includes Friday November 2 nd and Saturday November 3 rd. It is available is to Accelerate AI 4 Day Pass holders plus ODSC Silver, Gold, Platinum, Platinum Business, and VIP Pass holders

Speaker and speaker schedule times are subject to change. More sessions added weekly


-Accelerate AI West
Wednesday, October 31st
Thursday, November 1st
ODSC Talks/Workshops Days
-Friday, November 2nd
--Saturday, November 3rd
Wednesday, October 31st
Thursday, November 1st
-Friday, November 2nd
--Saturday, November 3rd
07:30
Accelerate AI Registration
07:30
Accelerate AI Registration
09:30
Accelerate AI Keynote 1, Ron Bodkin

Coming soon!

Ron Bodkin
Technical Director, Applied Artificial Intelligence | Google
10:05
Accelerate AI Keynote 2 (Day2)
10:15
Expo Hall Demos
10:15
Startup Showcase Expo
10:30
Morning Coffee Break
10:30
Morning Coffee Break
11:10
Build Vs Buy Decision For Enterprise Search

Business | Cross Industry | Talk

 

What is Enterprise search? Enterprise search is the use of information retrieval methods to find contents within an organization. This is the area which is very important for the organizations but the lack of data has attracted less academic interest. The Search in Enterprise is mostly based on a tribal knowledge which is transferred from the older employee to a new employee. In this talk I would like to talk about the importance of enterprise search and how can one make a build vs buy decision.

Abhishek Singh
Staff Software Engineer | LinkedIn
11:10
Role and placement of data science in the organization

Business | Cross Industry | Talks


Eric Colson explores what it means to differentiate by data science and explains why companies must now think very differently about the role and placement of data science in the organization.
Topics include:
* When and why the Data Science team should report to the CEO.
* Why data science is different from other departments like engineering, finance, or marketing
* How to create compelling roles for your data science team
* How to foster innovation without structured programs
* Considerations for measuring data science talent.