Machine Learning Times
EXCLUSIVE HIGHLIGHTS
For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises
  Originally published in AI Realized Now “Shouldn’t a great...
How To Un-Botch Predictive AI: Business Metrics
  Originally published in Forbes Predictive AI offers tremendous potential...
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
SHARE THIS:

11 years ago
Effective Framing of Predictive Analytic Projects

 For more from James Taylor, see his presentation on Decision Modeling for Predictive Analytic Projects at Predictive Analytics World for Business, March 29-April 2, 2015 in San Francisco. One of the most important steps in a predictive analytic effort is correctly framing the problem. It is particularly important to do so in a way that establishes a shared understanding of the business problem across business, IT and analytics teams. Established analytic approaches such as CRISP-DM stress the importance of understanding the project objectives and requirements from a business perspective, but most organizations do not apply a formal approach

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.