JDA ICON — Enabler of AI: Overview of an AI Architecture

Posted on May 9, 2019 in python talk

JDA ICON 2019 was all about technology, APIs, AI (Artificial Intelligence) and ML (Machine Learning).

JDA ICON attendees were eager to learn everything they could about JDA’s direction and how their companies could take advantage of JDA’s shift toward becoming the supply chain platform.

Design Goals of an AI Architecture

• business-critical predictions and decisions as a service
• sustainability
• short feedback cycles
• highly productive data scientists

Corollary

• Blue Yonder Supply & Demand API
• data scientists can deploy to production without team or language barriers
• native Python support (the language of AI/ML)
• coverage of the entire product development lifecycle
• shared infrastructure designed for cost-efficient multi-tenancy of ML applications
• container orchestration with deep integration of supporting services
• standardization through opinionated service templates