The Challenge with Horizontal AI and Data Science
Every industry has unique data types, vocabulary and high value data sources. Your AI platform should be optimized to work with these and include domain knowledge graphs to speed time to value
Each industry has unique compliance and regulatory requirements for AI explainability and performance. Your AI platform needs to be able to support these requirements out of the box.
Business and ROI metrics for assessing AI’s impact and value generation vary significantly by industry. Your AI platform should have industry specific analytics to help optimize AI performance.
Each domain has its own unique human-machine micro-interactions and your AI platform needs accelerators that model these interactions. For example, the way a derivatives trader wishes to consume AI powered applications is quite different than a care provider working with diabetic patients. In many cases these micro-interactions are not visually exciting, but they are essential for building user trust in AI and driving adoption.
AI is a complex domain and using industry optimized platforms reduce the “soft cost” with lost productivity and morale that comes with implementing a complex new system.