By Robin Bordoli, September 26, 2016

CrowdFlower and Microsoft, Better Together

About a year ago the teams at CrowdFlower and Microsoft Azure Machine Learning got together to discuss a shared vision. […] [...]


By Tyler Schnoebelen, September 23, 2016

More data beats better algorithms

Most academic papers and blogs about machine learning focus on improvements to algorithms and features. At the same time, the […] [...]


By CrowdFlower Admin, September 16, 2016

CrowdFlower Events in September

September will be a busy month for us at CrowdFlower. We’ll be attending conferences and events in New York, Atlanta, […] [...]


By Tyler Schnoebelen, September 8, 2016

Nattering Nabobs of Negativity: Bigrams, “Nots,” and Text Classification

You can get pretty far in text classification just by treating documents as bags of words where word order doesn’t […] [...]

Research and Insights

By Jack Shay, September 1, 2016

Product Management, in 5 Questions

Having been delighted to recently add two outstanding and rapidly-ramping product managers at CrowdFlower, I was reminded just how very […] [...]


By Lukas Biewald, August 23, 2016

What we can learn from AI’s mistakes

AI has been making a lot of progress lately by almost any standard. It has quietly become part of our […] [...]


By Tyler Schnoebelen, August 17, 2016

Training an AI Doctor

Some of the earliest applications of artificial intelligence in healthcare were in diagnosis—it was a major push in expert systems, […] [...]


By Nick Gaylord, August 12, 2016

Making AI work for your business

When it comes to the future of doing business, AI and machine learning are the hottest topics around. For all […] [...]


By Robin Bordoli, August 2, 2016

CEO to CIO: “What’s our AI strategy?” – Part 3

This post is the third in a three part series.  In the first post 2 weeks ago, we gave some […] [...]

Research and Insights

By Nick Gaylord, July 28, 2016

CrowdFlower’s presence at three recent data science conferences

Over the past week and a half, CrowdFlower has had the pleasure of attending three different data events — twice […] [...]