The Top Problems with Shipping AI Apps — and How to Solve Them

The business case for leveraging AI is clear: It can boost functionality, speed up automation, and personalize user experiences. However, delivering AI apps is a complex process that requires planning and strategy. 

One meta-challenge underlies many of the struggles around getting AI apps into production: non-deterministic AI models are unpredictable.

Amid a new AI-influenced paradigm of software development, you need ways to rapidly iterate and optimize your model and prompt configurations.

This guide walks you through:

• The difficulties of governing unpredictable output
• Top challenges we hear from companies building AI apps
• Questions to consider as you craft your AI app development strategy