Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption
With the emergence of enterprise AI platforms that automate and accelerate AI projects, businesses can build, deploy, and manage AI applications at a far greater scale. This sophisticated automation allows organizations to completely transform their business through AI democratization, which puts it into the hands of non-data scientists.
But democratizing AI within your organization requires more than just software. It may require changing your operational models and finding the right guidance to realize the full potential and ROI of AI.
Download this white paper now to learn:
- Why AI democratization is the only scalable way to propagate AI throughout large organizations
- How an AI-driven organization should look like, top to bottom
- Which strategic questions business leaders need to answer to put their organization on the path to being AI-driven
- How existing data science teams can benefit from automation
- How to identify priority use case for AI projects
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.