Additionally, Google offers Vertex AI, an end-to-end AI platform that streamlines the deployment of AI and generative models, allowing companies to customize AI models for their specific applications. Vertex AI offers three essential generative AI capabilities: model discovery and tuning, customization tools, and control over data and IP. With Vertex AI, customers can discover and tune foundation models from Google and its partners.
Google featured speakers from the Mayo Foundation, Priceline, Wayfair and Wendy’s at the executive forum. These Google Cloud customers shared their insights on AI's challenges, opportunities, and practical applications. Each organization sees tremendous opportunities in AI and has been working with Google on AI solutions for many years.
Wayfair spoke about the challenges of the home category and the need to match AI with search capabilities. For example, looking for the perfect couch for your living room is very different than finding out the score of the latest NBA game. In retail, there's not one right answer; it is a journey. Wayfair spoke about how its company employed machine learning capabilities over time to understand customer intent and match customers to the perfect product.
Priceline shared that a developer's mindset must change to developing an experience instead of features. The developer must design an experience that optimizes the inputs and outputs of a large language model, which requires a completely different skill set than being proficient in writing JavaScript. For example, in prompt engineering, the developer must decide how the prompts get weighted in terms of price or have value for the customer.