What Will Stop AI’s Momentum?

It’s not a question of if but when

Robbie Allen
Jul 18, 2017 · 6 min read
Gartner 2016 Hype Cycle

Patents become preferred over Papers

A few big companies hire ALL the AI talent

An extended period without good results

Several high profile failures

Tensorflow becomes too complex and too dominant

We reach a local maximum with Deep Learning

Societal and/or political pressures impede progress

Slowing down will be a good thing


Machine Learning in Practice

Practical insights for executives, managers, and project managers eager to deploy machine learning inside their company.

Robbie Allen

Written by

CEO @InfiniaML, Exec Chairman @Ainsights, Lecturer at @kenanflagler, Ph.D. Student @UNCCS, Writing a book: http://machinelearninginpractice.com

Machine Learning in Practice

Practical insights for executives, managers, and project managers eager to deploy machine learning inside their company.