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Ebook

Use Automated Machine Learning To Speed Time-to-Value for AI with DataRobot + Intel

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 is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

VP of Data Strategy, Business Intelligence, & Analytics, FordDirect

The generative AI space is changing so fast but the flexibility, speed, and interoperability of DataRobot is helping us stay on the cutting edge. And, DataRobot’s team of GenAI experts have been true partners on our journey, helping us navigate the real concerns to apply generative AI in meaningful and safe ways.
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI, BSI