In the past, uncovering deep insights from machine learning and artificial intelligence (AI) required extensive programming skills and an intimate knowledge of math – experience in short supply in most enterprises. A new class of augmented analytics tools is making it possible for data analysts and and other business professionals to take machine learning and AI initiatives into their own hands.
Download this white paper to learn from analytics industry expert Jen Underwood how your organization can develop world-class predictive modeling capabilities with automated machine learning, without having to hire and train a data science team.
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.