Drive Successful Business Outcomes From Data With AI hero banner
White Paper

Drive Successful Business Outcomes From Data With AI

The shift to data-driven business optimization has arrived. The combination of massive compute power and the unprecedented rate of data generation has created an opportunity for every organization to interact with data in new ways to identify opportunities for growth, innovation, and business process optimization.

AI and machine learning are transforming the businesses that aggressively adopt these technologies, allowing them to systematically solve business problems faster and more effectively. Artificial intelligence is changing the way businesses interact with data.

In this ebook you will learn:

  • How organizations like yours are becoming true AI-driven enterprises by using automated machine learning to solve real-world business problems
  • How automated machine learning accelerates and optimizes the human element of domain expertise and business acumen
  • How cloud-based machine learning platforms let you quickly set up and utilize these powerful machine learning capabilities, removing barriers to adoption by delivering a ready-built and scalable solution for data science success
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