A use case
1. A use case
SPEAKER: Welcome to the first module of this course, AI Foundations. You start your journey by exploring a real-world use case where AI addresses familiar daily challenges, revealing its profound capabilities and potential. Next, understand how Google Cloud empowers your AI vision by solving both generative-AI and traditional AI challenges with a comprehensive AI architecture, from infrastructure to development platforms and then applications and solutions. Then, a brief introduction to AI infrastructure will familiarize you with Google Cloud's Compute, Storage, Data, and AI products. Following this, delve into AI models essential for understanding AI development. Subsequently, get practical with a deep dive into BigQuery ML, connecting data and AI. You conclude this module with a hands-on lab where you build your first ML model and leverage AI code assistants to explain, generate, and debug code. AI is shifting from a tool for efficiency to a powerhouse of innovation. Let's dive into a use case to see it in action. Did you have your morning coffee today? If not, maybe you can use Coffee on Wheels, an international company that sells coffee on trucks in cities like London, New York, San Francisco, and Tokyo. They provide a compelling case study. Coffee on Wheels is facing three main challenges-- location, selection, and route optimization; predicting popular locations for truck placement and optimizing routes based on weather and traffic conditions; sales forecast and real-time monitoring; forecasting sales and monitoring performance in real time; marketing campaign automation, automating marketing campaigns to increase efficiency and effectiveness. Recognizing the potential of AI, Coffee on Wheels sought assistance from Data Beans, a digital-native company, to leverage data and AI technologies to resolve their business challenges. Let's take a tour of the demo. Choose one of the four current locations, such as London. The dashboard displays overall statistics across cities, including revenue, operating margin, and the number of trucks. This information is generated by data tools like BigQuery and Looker, as well as AI tools and models like Gemini and Vertex AI. On the right, you can view the final data for London with the summary. It shows how London's revenue compares to the average and provides insights into revenue per truck and customer loyalty. In the top-left corner, the dashboard displays the weather and generates route suggestions based on weather conditions. For example, if lower temperatures are forecasted, it might suggest a new itinerary that focuses on covered areas. You can click Show Updated Route and Publish Route to implement these changes. By clicking on a specific time on the timeline, you can see route suggestions based on city events. For example, if there's a football game happening, it might suggest rerouting trucks to avoid congestion. Clicking on the Truck sign provides a detailed dashboard with information such as street view and revenue forecast. To monitor the performance of the business in real time, you can access a dashboard by clicking Show Menu. If an item is underperforming, you can click the Generate button to get suggestions for a new item. Additionally, you have the option to generate marketing campaigns by selecting Yes to save the suggestion. This feature enables you to automatically create campaigns that include both text and images. You can further streamline your marketing efforts by sending campaign emails to targeted customers with just a click of the Post button. Finally, you can generate an operational report and export the insights to any format, such as Google Slides. To customize the application using code, click How It's Made. This reveals the tools and technologies, including BigQuery, Gemini, and Vertex AI, that were used to create the app. You can also click Open In Notebook to access the sample code in the code development environment. Isn't it remarkable? The process is actually straightforward. Multimodal input-- this involves incorporating various forms of data such as text, customer reviews, images, like coffee and dessert pictures, and videos, like real-time street view. Prediction and generation-- this is powered by predictive AI, like sales forecasting, and generative AI, like marketing campaign automation. Visual output-- the insights and reports are then presented visually, empowering businesses to make real-time, data-driven decisions and optimize their operations. Behind the scenes, many Google products collaborate to make this application possible. For example, Gemini Multimodal enables data acquisition. BigQuery provides data analytics. Vertex AI handles ML development, and AI agents connect with various applications to enact decisions, such as interacting with Looker to visualize resulting insights. You'll explore these tools in depth later in this course. By leveraging the application, Coffee on Wheels enhanced efficiency by streamlining and automating business processes. This opened the door for continuous innovation in providing customers with immersive coffee experiences. You can do the same for your business by using AI. Let's find out how Google can help you achieve your AI vision in the next lesson.2. Let's practice!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.