GoDaddy had no large language models a year ago, but now they have over 50 running in their backend systems. These models are used for client-side automation products and internal efficiency projects. The company’s first generative AI project was an AI bot for creating design logos, websites, and marketing campaigns for small businesses. They also launched an AI chatbot, GoDaddy Airo, this year. GoDaddy documents over 1,000 AI experiments to foster innovation and drive progress.
Charles Beadnall, GoDaddy’s CTO, has spearheaded the company’s AI initiatives. He emphasizes the importance of having measurable hypotheses and outcomes for AI projects. Beadnall highlights the significance of a common data platform and a culture of experimentation in leveraging generative AI effectively.
GoDaddy CTO Charles Beadnall
GoDaddy
Measurable deliverables are crucial for successful AI deployments. Without clear expectations and metrics, it’s challenging to assess the impact of AI projects. GoDaddy emphasizes the importance of controlled A/B testing to measure the effectiveness of new features and ensure they deliver the intended benefits.
2024-06-03 13:00:02
Original from www.computerworld.com