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:

6 years ago
Wise Practitioner – Predictive Analytics Interview Series: Rohit Kewalramani at KPIT Technologies

 By: Steven Ramirez, Conference Chair, Predictive Analytics World for Industry 4.0 In anticipation of his upcoming conference presentation at Predictive Analytics World for Industry 4.0 May 31-June 4, 2020, we asked Rohit Kewalramani, Data Scientist at KPIT Technologies, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, How to Eliminate Jittery Sensory Noise using AutoEncoders, and see what’s in store at the PAW Industry 4.0 conference in Las Vegas#session79661 Q: What are the challenges in translating the lessons of predictive analytics from other verticals into manufacturing? A: There are plenty of challenges

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.