Google Cloud has been expanding and improving its foundation models to democratise gen AI usage by simplifying model building, improving response reliability, and integrating with enterprise systems

As we help our customers with gen AI, we’ve observed many CSP-specific applications in domains like: Net operations, Staff expertise, Keep customers and increase ARPU

Let’s examine three CSP applications’ high-level architectures for other applications Root cause investigation for network outages using Vertex AI Search

CSPs can now use Vertex AI Search and Conversation and gen AI capabilities in Dialogflow to create flows that access unstructured and structured data and trigger webhooks to schedule maintenance or technician visits Complex Dialogflow processes can be generated from natural language specifications

Google Telecom Subscriber Insights, PaLM, and Imagen help retain consumers and raise ARPU

Google Cloud’s Telecom Subscriber Insights analyses customer data from several sources to assist CSPs find products and services that boost ARPU Vertex AI will enable a chatbot to enhance sales and targeted offers while interacting with customers naturally Targeted offerings boost customer engagement and lower attrition

From text prompts, Imagen may create photo-realistic or watercolour graphics in high quality A new Imagen tuning method, Style Tuning, allows CSPs to create images that match their brand guidelines or contain their unique items or designs using a minimum amount of reference images

We have evaluated Google Cloud’s enterprise-ready gen AI capabilities in our product portfolio and are impressed by CSPs’ high-value use cases. As we adopt and use advanced AI technologies, Google Cloud will include robust guard rails to address accuracy, privacy and security, regulatory compliance, and intellectual property infringement threats