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:

By: Dean Abbott, President, Abbott Analytics 

 The recent leaks about the NSA’s use data mining and predictive analytics has certainly raised awareness of our field and has resulted in hours of discussions with family, relatives, friends and reporters about what predictive analytics can (and can’t) do with phone records, emails, chat messages, and other structured and unstructured data. Eric Siegel and I have been interviewed on multiple occasions to address this issue from a Predictive Analytics perspective, and in case, in the same article: “What the NSA can’t do with your data (probably)”, http://fcw.com/articles/2013/06/12/nsa-risk-assessment.aspx. Part of my goal in these conversations has been to

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.