As a data leader, you must consider the evolving landscape of AI to deliver value to your organization. In this fireside chat, we’ll cover pragmatic advice on what to consider and how to tackle generative AI in the enterprise. Walk away with best practices for “traditional ML” and how to take advantage of and accelerate generative AI.
Field CTO, Financial Markets, DataRobot
Data Scientist, Solutions and Guidance
Principal Analyst, Enterprise Strategy Group
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
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.
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.
