Discussions of GenAI and how organizations are implementing the technology to create value are now commonplace in boardrooms and on earnings calls. The changing landscape of generative AI (GenAI) provides opportunities for businesses, but considering the challenges in building enterprise-grade, production GenAI applications is essential.

In a recent article, A&M AI & Analytics experts David Dina and Gray Cannon provide insights into a comprehensive approach geared toward alignment with stakeholders, IT support, software development processes, and new AI-specific considerations.

Highlights:

• Select the right use case and target end users
• Understand your stakeholders and set expectations early
• Align the model with business objectives
• Uphold enterprise software development practices
• Mitigate against emerging risks
• Evolve your testing approach to incorporate new GenAI factors

Read the full article for in-depth insights on actionable steps to make the most of GenAI.

Read the full article here