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:

11 years ago
Wise Practitioner – Predictive Analytics Interview Series: Scott Lancaster at State Street Corp.

 In anticipation of his upcoming conference presentation, Predictive Analytics for Project Management – Cost Avoidance, at Predictive Analytics World Boston, Sept 27-Oct 1, 2015, we asked Scott Lancaster, Vice President at State Street Corp., a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: I use the Putnam model for estimating project cost/effort, duration, size, and productivity at a certain level of quality. This model is used for project management and is based on the Rayleigh distribution curve. Q: How does predictive analytics deliver value at your organization?

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.