R2 Learn 2.0 Debuts|
December 31, 2018
new automated machine learning (AutoML) product comes with significant
new features for businesses across all industries and is designed for
data scientists, model developers and business analysts—with or without
AI expertise—to build and deploy advanced machine learning models in a
fast, easy and affordable way.
"Given the massive amounts of data generated by most industries, the
ability for enterprises to independently build and deploy machine
learning models will unlock growth potential and become a major
differentiating advantage in the near future," said Yiwen Huang, founder
and CEO of R2.ai. "R2 Learn is designed so that even if you lack AI
expertise, you can still build and develop your own AI solutions."
With two new proprietary supervised learning algorithms, building models
is faster than ever. R2 Learn 2.0 will build models 20 times faster with
GPU acceleration and 5 times faster without compared to its predecessor,
R2 Learn 1.2. It also has support for compressed file formats which make
uploading big data sets easier and faster. Additionally, it will support
better data augmentation with more powerful custom feature
R2 Learn 2.0 has the following key advantages:
•An end-to-end modeling workflow that
automatically handles everything from data quality to model deployment;
•An optimization engine that
quickly identifies the most optimum AI model using the least amount of
that act like an experienced human data scientist to constantly improve
•A high-speed modeling process
that develops models in minutes and hours not days;
•An easy to use interface and
process suitable for both AI experts and non-experts; and
•High performance with
measurably better model quality.
R2 Learn has already received positive reviews from early adopters
across industries that are traditionally data-heavy including medical,
financial, and insurance. One example is PingAn Insurance, one of
China's biggest insurance companies that recently deployed R2 Learn 2.0.
"R2.ai's new generation of AutoML technology plays a key role in
speeding up insights gathered by our Health Konnect's Big Data Analytic
Platform," said Yi Zheng, Chief Medical Officer, PingAn Medical &
Healthcare Group, a subsidiary of PingAn Insurance. "By using R2 Learn,
our big data team is able to automatically build machine learning models
and make full use of big data for personal health risk prediction. Going
through several iterations quickly has helped us effectively predict
different levels of risks and multi-disease complications."
Building AI models to gain insights from data, however, does not require
a data scientist or even a comprehensive understanding of how to
implement AI. With R2 Learn 2.0, even companies and individuals that
lack AI expertise can now leverage AI to fundamentally transform their
businesses. For instance, Jakroo, a custom cycling and triathlon apparel
company based in Pleasanton, California, was able to use R2 Learn to
turn human designers' industry expertise into creative AI models to help
with the design—without a data scientist.
providing a near infinite suite of design options and style
alternatives, R2 Learn dramatically expedited our custom design process,
giving us a significant competitive edge," said Derek Wiseman, COO of
Jakroo. "We believe AI driven design powered by R2.ai's technology will
change the graphic design and custom apparel industry as we know it."
"In today's digital world, data grows exponentially and AI capabilities
are not far behind. Every industry and business, large and small, will
soon have the ability to develop their own machine learning tools to
better forecast industry and customer trends," said Huang. "My team at
R2.ai is committed to developing a series of advanced AutoML products to
drive mass AI adoption. We have accelerated our product development to
better tackle real-world AI adoption problems, providing both on premise
and soon SaaS solutions to make AI truly accessible for all."