Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
SHARE THIS:

10 years ago
The Predictive Analytics Times Executive Breakfast in San Francisco April 2016 – Your Invited!


Your Invited
Join us at the first Predictive Analytics Times Executive Breakfast of the new year. Gather at the San Francisco Marriott Marquis on Tuesday, April 5, 2016 at 8:00 AM to discover how predictive analytics works, and the ways in which it delivers value to organizations across industry sectors.

Executive Breakfast highlights include a networking breakfast, keynote presentation and sponsor presentation, book signing, and access to the Predictive Analytics World San Francisco exposition hall.

Apply to attend today. Attendance is free for qualified professionals ( Executives and senior leaders responsible for making value from data) although space is limited.


APPLY TO ATTEND

3 thoughts on “The Predictive Analytics Times Executive Breakfast in San Francisco April 2016 – Your Invited!

  1. Thank you for the invitation to the Predictive Analytics Times Executive Breakfast! I’m excited about the opportunity to learn more about how predictive analytics can drive value for organizations across various industries.
    I will definitely apply to attend. The event highlights, including the networking breakfast, keynote presentation, sponsor presentation, book signing, and access to the Predictive Analytics World San Francisco exposition hall, sound fantastic.
    Looking forward to being part of this insightful event!
    LiteBlue Lite