The growing desire to gain business value from artificial intelligence (AI) has created a gap between the demand for data science expertise and the supply of data scientists. DataRobot’s AI and automated machine learning (AutoML) platform, running on Intel® architecture, addresses this challenge by automating many tasks needed to develop AI and machine learning applications.
Optimized for the latest Intel® technologies, AutoML from DataRobot – an Intel® partner – delivers unrivaled performance, memory capacity, and scalability for creating, training, and deploying machine learning models on familiar, cost-effective infrastructure. Using second generation Intel® Xeon® Scalable processors and Intel® Optane™️ persistent memory, organizations can train up to a 1.33x larger dataset at the same memory cost compared to a DRAM-only system.
Download this ebook to learn how DataRobot and Intel® work together so that enterprises can quickly train large datasets and build production-ready machine learning models, and more, including:
- Fill the data science skills gap
- Deliver price/performance for machine learning training
- Build AI success with robust, transparent machine learning models
DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
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