In a thorough article describing the different important elements of AI adoption, Anbu analyzes these challenges organizations are facing today:

  • Core Necessity in the AI Platform Adoption: Continuous Testing
  • Assuring the Data Extraction in AIaaS Adoption
  • Assuring the AI Algorithm in AIaaS Adoption
  • Assuring the Integration and Interfaces in AIaaS Adoption
  • Assuring the User Experiences in AIaaS Adoption

“Continuous testing is a fundamental requirement for AI platform adoption. We should adopt the modular approach of perfecting the designs of data, algorithms, integration, and experience assurance activities. This will let us create a continuous testing ecosystem where enterprise IT can always be ready to accept the frequent changes of internal and external AI components.”

To read the full article in DZone, click here.