Gurgaon, Jan. 27 -- What issues should one take care of while using AI in SaaS for the best results?

AI in SaaS can unlock immense value, but success hinges on three pillars -

Data Quality - Ensure accurate, unbiased data for AI training to avoid flawed outcomes Scalability - Optimise AI systems to handle growing data and user demands Security - Safeguard sensitive information with robust AI governance Organisations should also prioritise user adoption with intuitive AI workflows and ensure continuous monitoring for algorithm accuracy.

What are the challenges in using AI in SaaS and how to resolve them?

Key challenges include -

Data Silos - Fragmented data hinders AI insights. Solution - Centralised repositories for seamless integrat...