Composing AI Applications By Connecting People, Data, and Models
To drive business value from AI initiatives, Enterprise AI teams need an open, flexible platform that supports all the roles necessary to create an AI application. Data Engineers, Data Scientists, ML Engineers, Architects, Application Developers, DevOps Engineers, and Business Analysts are all critical members of an AI Engineering team. AI/ML platforms need to make AI teams more productive with less friction at the various hand-offs across the development lifecycle.
CognitiveScale's Cortex award winning AI Engineering Platform with 110 granted patents, helps organizations develop and deliver AI applications at scale.
In this installment, we will address how architects and application developers can design, develop, and test an AI Application that is made up of independent models, data, and business rules.
- How to combine independent models, data, and rules in complex workflows?
- How to orchestrate and accelerate AI application development
- How to enable collaboration while composing AI applications?