You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.
This report explores why it is so challenging to choose an AI vendor and what you should consider as you seek a partner in AI.
This white paper covers:
- The top challenges businesses face when evaluating AI vendors
- Real-world best practices for getting company buy-in, vendor selection, and tracking progress
- The five key things to consider when looking for an AI vendor
- How businesses can gain immediate value from AI
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.