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Ebook

How MLOps Can Help You Realize Your AI Dreams

As you work to build your business into an AI-driven enterprise, you’ve probably encountered a few baffling pitfalls along the way. While you have hired top-notch data scientists to build models and invested in expensive data science tools, you still can’t get your AI projects off the ground. Why? What factors make it so hard to implement AI at scale?

In our ebook, How MLOps Can Help You Realize Your AI Dreams, we take a closer look at the real-world machine learning issues that may be holding back your AI projects, such as:

  • Why data scientists are very particular about how they like to work and why you should respect their preferences
  • What common stumbling blocks come up when the IT and data science teams work together
  • How thinking about production model governance proactively can save you and your business legal and regulatory headaches down the road
  • Why monitoring that is designed specifically for machine learning is so important
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