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DataRobot Recognized by Customers with TrustRadius Top Rated Award for Third Consecutive Year 

Our mission at DataRobot has been to help customers use AI to drive business value. 

Business value is built into our DNA, and nothing is better than hearing the success stories directly from our customers.

We’re thrilled to share that our customers have recognized DataRobot in the TrustRadius Top Rated Award for the third consecutive year in the following categories:

  • Data science
  • Machine learning
  • Predictive analytics

We are incredibly proud of this award — based solely on customer reviews.

About TrustRadius

TrustRadius is a buyer intelligence platform for business technology and its annual Top Rated Awards are based entirely on customer feedback – they aren’t influenced by outside opinion. TrustRadius looks at the recency of reviews, relevancy of products compared to others in the same category, and overall ratings. 

With a trScore of 8.8 out of 10 and nearly 60 verified reviews from our customers, we’re proven as one of the most valuable platforms in our industry, with demonstrated impact and results.

Why our customers trust DataRobot

In their own words, our customers share the wins they’ve experienced by using the DataRobot AI Platform:

When I spoke with our Chief Customer Officer, Jay Schuren, he shared his sincere appreciation for our brilliant customers and thanked them for this recognition. He said:

We continually strive to wow our customers. The Top Rated Award is only made possible by our customers’ success. When our customers win, we join them in celebrating the business transformations made possible with AI.
jay
Jay Schuren

Chief Customer Officer

Learn more

Hear how customers deliver AI value at FordDirect, Freddie Mac, 84.51°, and many more.  

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The post DataRobot Recognized by Customers with TrustRadius Top Rated Award for Third Consecutive Year  appeared first on DataRobot AI Platform.

Generative AI that imitates human motion

Walking and running is notoriously difficult to recreate in robots. Now, a group of researchers has overcome some of these challenges by creating an innovative method that employs central pattern generators -- neural circuits located in the spinal cord that generate rhythmic patterns of muscle activity -- with deep reinforcement learning. The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adapting to environments with unstable surfaces.

Robotic system feeds people with severe mobility limitations

Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.

New approach uses generative AI to imitate human motion

An international group of researchers has created a new approach to imitating human motion by combining central pattern generators (CPGs) and deep reinforcement learning (DRL). The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adaptation to environments with unstable surfaces.

Cloud Security is Broken: SentinelOne Aims to Fix It

Cloud security traditionally revolves around detection rather than protection. SentinelOne intends to change that by introducing a potentially game-changing solution—Singularity Cloud Native Security. This new offering moves the needle towards proactive, offensive measures that aim to protect as much as […]

The post Cloud Security is Broken: SentinelOne Aims to Fix It appeared first on TechSpective.

Teaching robots to move by sketching trajectories

Getting robots to perform even a simple task requires a great deal of behind-the-scenes work. Part of the challenge is planning and executing movements, everything from turning wheels to lifting a robotic arm. To make this happen, roboticists collaborate with programmers to develop a set of trajectories—or pathways—that are clear of obstacles and doable for the robot.

Video shows how swarms of miniature robots simultaneously clean up microplastics and microbes

When old food packaging, discarded children's toys and other mismanaged plastic waste break down into microplastics, they become even harder to clean up from oceans and waterways. These tiny bits of plastic also attract bacteria, including those that cause disease.
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