Figure Eight partners with Google to give AutoML designers much better training information

INSUBCONTINENT EXCLUSIVE:
Figure Eight, a platform that helps developers train, test and fine-tune their machine learning models, today announced a major new
collaboration with Google that essentially turns Figure Eight into the de facto standard for creating and annotating machine learning data
for Google Cloud AutoML service. As Figure Eight CEO Robin Bordoli told me, Google had long been a customer, but the two companies decided
to work closer together now that AutoML is launching in beta and expanding its product portfolio, too
As Bordoli argues, training data remains one of the biggest bottlenecks for developers who want to build their own machine learning models
— and Google recognized this, too
&It their recognition that the lack of training data is a fundamental bottleneck to the adoption of AutoML,& he told me. Since AutoML first
product focuses on machine vision, it maybe no surprise that Figure Eight partnership with Google is also currently mostly about this kind
of visual training data
Its service is meant to help relatively inexperienced developers collect data, prepare it for use in AutoML and then experiment with the
results. What makes Figure Eight stand out from other platforms is that it keeps the human in the loop
Bordoli argues that you can&t simply use AI tools to annotate your training data, just like you can&t fully rely on humans either (unless
you want to employ entire countries as image taggers)
&Human labeling is a key need for our customers, and we are excited to partner with Figure Eight to enhance our support in this area,& said
Francisco Uribe, the product manager for Google Cloud AutoML at Google. As part of this partnership, Figure Eight has developed a number of
AutoML-specific templates and processes for uploading the data
It also offers its customers assistance with creating the training data (while also ensuring AI fairness)
Google Cloud users can use the Figure Eight platform to label up to 1,000 images and they do, of course, get access to the company data
labeling annotators if they don&t want to do all the work themselves. Ahead of today announcement, Figure Eight had already generated more
than 10 billion data labels and today announcement will surely accelerate this.