Armandpour further advises on securing executive buy-in by explaining the need for change, the benefits, and expected outcomes of using generative AI. He suggests avoiding getting too technical and instead painting a "before and after" picture to illustrate the potential benefits. He emphasizes the importance of connecting the use of generative AI to strategic priorities such as growth, cost reduction, and productivity. Armandpour concludes by stating that while generative AI is not a cure-all, it is important to have a strategy for testing and communicating its use and goals.
Key takeaways:
- Generative AI is a key topic among technical leaders, with many trying to understand how it operates and how it can benefit their businesses. Testing is an important first step to get comfortable with the technology.
- When implementing generative AI, it's important to consider where it will create value for customers and employees, and to do so responsibly with guardrails in place to avoid creating new problems.
- Technical leaders need to control the conversation about generative AI with internal business stakeholders, explaining what is and isn't possible and focusing on the problems or opportunities it can address.
- Generative AI can help address labor problems in companies by automating repetitive tasks, freeing up employees to focus on higher-impact work. It's important to connect this benefit to strategic priorities when discussing with business stakeholders.