Academic Support Program
DataRobot provides qualified and approved institutions of higher education with DataRobot licenses for student use so that they can explore advanced machine learning without programming in their coursework.
Leading business schools are racing to add machine learning and data science content to their curriculum. They know these skill areas will be central to competitive strategy and value creation over the next decade. But many programs for MBA students and undergraduates are excessively technical. Instead of focusing on the critical insights and management issues leaders need to understand, they get bogged down in the details of computer programming and algorithms.
The top business schools adopted DataRobot’s automated machine learning platform because it…
- Makes advanced machine learning accessible without programming.
- Incorporates the knowledge, experience and best practices of the world’s leading data scientists.
- Delivers unmatched levels of automation, accuracy, transparency, and collaboration to help businesses transform into AI-driven enterprises.
- Is used by global banks, insurance companies, healthcare organizations, and governmental agencies for all of the above reasons.
How the Academic Support Program Works
- All approved adopting faculty have access to a standard DataRobot cloud license without charge.
- We encourage adopting faculty that use DataRobot in their courses to also use it in their research projects.
- We request that you reference DataRobot in any conference talks or published work where you use the product. We would love to see any references to our product.
- If you are presenting and using DataRobot, we will consider proposals to fund conference travel.
- Faculty using DataRobot agree that we can publicly disclose that they are doing so.
- We can provide an on-site DataRobot guest trainer by request.
- Under this program, we do not provide licenses for research purposes only.
How do we decide whether or not to support your program? We consider:
- Its prominence
- Faculty qualifications
- Number of students
- Subsequent student career paths
As predictive models become central to business strategy, companies cannot be bound to traditional, manual, model building methods, which are expensive, time-consuming and difficult to manage.
Automated machine learning allows analytics leaders to focus where it really matters — on problem definition, predictor definition, and effective implementation.
It allows for consistency and auditability of model building across the organization.
Analytics education needs to keep up with the rapidly changing machine learning and predictive analytics landscape.
Related resources
Start Your Journey to Become an AI-Enterprise
If you'd like a live demonstration of how DataRobot works or would like to discuss our program further, please contact asp@datarobot.com