6 Steps to Fasttrack Generative AI from Prototype to Production

Many organizations find moving generative AI from proof of concept to production more complex than expected. Gartner predicts 30% of gen AI projects will be abandoned by 2025 due to poor data quality, inadequate risk controls, and unclear business value.

This white paper presents a six-step framework to help technical leaders bridge that gap. Topics include:

• Optimizing foundation models for cost, latency, and accuracy
• Customizing models with proprietary data for differentiation
• Implementing security and compliance controls for responsible deployment

Read the white paper to learn how to scale generative AI into production confidently.