Bringing generative artificial intelligence (AI) into production introduces new challenges—from managing accuracy and performance to ensuring security and responsible use. This whitepaper outlines practical approaches to building applications that are ready for real-world use, without compromising control.

Inside, you can explore how to:

• Select and customize models to meet specific business and industry needs 

• Improve accuracy by connecting AI to trusted real-time data sources 

• Integrate AI with systems and workflows to deliver meaningful outcomes 

• Apply guardrails, security, and privacy controls to manage risk 

The guide brings together key considerations across the full AI lifecycle – from model selection through to deployment and ongoing operation – to inform your team’s next steps when moving from experimentation to production.

Download the whitepaper for practical insights into building generative AI applications that perform reliably and operate securely.