Steps to AI Success with DataRobot:
1. Discuss AI Landscape
Charting an effective path forward starts by reviewing the path that got you here. We'll discuss the tools you're using, the machine learning models that have been built in the past, existing applications of AI, organizational roles, and much more. A Platform Delivery Engineer will also engage with your application developers, solutions architects, and other IT people to get an understanding of your information security requirements and a model's path to production.
2. Execute Proof of Concept
You may already have a business problem in mind, but if not that’s OK too. Our unique Customer-Facing Data Scientists (CFDS) will help you frame the problem, acquire the data you need, and provide training and other support to help you solve the problem by using DataRobot. At the conclusion of the POC, our team will help you calculate the expected Return on Investment (ROI) based on existing models and business processes to help you gain executive approval to move forward.
3. Agree on AI Success Plan
The AI Success Plan is the foundation of our approach to helping you achieve success with AI. We’ll help you develop a vision, agree on additional use cases, set milestones and commitments for both organizations, and more. We'll also identify any enablement, execution, training, and advisory assistance that you may want or need to overcome AI creation and adoption challenges.
4. Choose your Software Package
The DataRobot enterprise AI platform includes three independent but fully integrable products, and each can be deployed in multiple ways to match your business needs and IT requirements. We'll recommend the optimal DataRobot software configuration to support the vision and key performance indicators (KPIs) from the AI Success Plan.
5. Follow AI Success Plan
After the sale and installation, the Use Case Engineer will help you prioritize use cases based on potential ROI and impact to your top/bottom line. We'll help you focus on high-value and relatively easy business problems first, then tackle the more challenging ones. Our Platform Delivery Engineer will help you get models into production and show your ML Operations/IT team how to maintain them over time. We'll be your partner every step of the way.
6. Receive Ongoing Enablement
Your AI Success Manager will schedule ongoing meetings to discuss how we're doing, inquire about things we can do better, and brainstorm ways we can further increase the value you're getting from DataRobot software and solutions. They’ll also deliver value-added enablement sessions to cover product updates and industry developments, provide additional training, and give you additional opportunities to ask questions in support of the AI culture you've built within your organization.
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"We are using DataRobot to make some pretty huge decisions at Steward Health Care. DataRobot is very much a part of our growth strategy. It's uncharted territory for healthcare."
Erin SullivanExecutive Director, Steward Health Care
Our goal is to make buying from DataRobot as easy as possible. If you have questions there’s a good chance we’ve heard them already. Visit our Buying DataRobot FAQ page for all the details on our ordering and fulfillment process, contract terms, and more.
