Low Shot Learning and the Democratization of Data

Low Shot Learning and the Democratization of Data

A truism in the world of Big Data and AI is that “large data sets confer super-normal market power.” The key reason? AI gets poor results for small data sets. Thought leaders in AI have argued that enterprise customers are frustrated when AI accuracy is around 80 –...
Scaling the AI Ladder

Scaling the AI Ladder

It’s easy to sit back and marvel at what AI technology promises for the future. But, at GLYNT, we’ve spent our time tapping into that potential today. And, from experience we’ve learned that running AI on a laptop for production volumes just doesn’t cut it. The...
GLYNT and Natural Language Processing (NLP)

GLYNT and Natural Language Processing (NLP)

“I’ve got invoices, tables, forms and a mix.  Do I use GLYNT or NLP? Is GLYNT NLP?” We get this question a lot. The short answer is “yes.” Natural Language Processing (NLP) is concerned with how to program computers to process and analyze large amounts of...
AI With Very Little Data

AI With Very Little Data

In two recent presentations at MIT and Stanford Andrew Ng, Chairman of Coursera and Chief Scientist at Baidu, lays out a challenge for AI startups: How will you get the huge amount of data needed to build and train your models? He points out that data acquisition...