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
The Quest for Unicorns

 Will there be enough data scientists in the future? The question sounds like a subplot for a science fiction film, but it has received much attention over the past few years due to the forecast of a substantial shortfall in the industry. A McKinsey study has projected that “by 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills.” This deficit is making it increasingly challenging to hire data analysts; because of their rarity, they are now beginning to be described as unicorns. A recent article even magnifies the issue

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.