Pilot to Production AI Playbook for R&D Teams
At the forefront of enterprise AI adoption, R&D teams are tackling some of the company’s most ambitious and high-impact use cases, spanning scientific research, regulatory interpretation, engineering documentation, and expert decision support. These initiatives rely on deep, domain-specific knowledge that is critical to the business, yet often remains difficult for decision-makers to access and operationalize.
This guide explores the ideal approach for moving from fragmented AI experimentation to robust production-grade AI systems while navigating challenges around:
- Evolving requirements around processing complex and sensitive data
- Advancing AI model capabilities
- Continuous testing to ensure AI system accuracy and reliability
This playbook is for R&D teams who want to achieve impactful outcomes by proving out the value of AI systems that can continually learn and adapt to new data and changes.
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Gartner Cool Vendors in AI Engineering, Arun Chandrasekaran, Manjunath Bhat, Arup Roy, George Brocklehurst, 6 November 2024
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