Generative AI: Innovation and Monetization

Explore how CxOs harnesses generative AI with AWS for business optimization. This session covers the generative AI landscape and its impact on enterprise software, enhancing automation and creativity. Learn from success stories and case studies of AWS implementations. Delve into AWS's generative AI products, such as Amazon Bedrock and Amazon Q, and their integration in the cloud ecosystem. Understand decision-making and ownership aspects for adopting generative AI and get a roadmap to start with AWS.

Independent software vendors (ISVs) face increasing demands to rapidly develop, deploy, and iterate on software products while controlling costs. Generative AI presents a unique opportunity for ISVs to augment human capabilities and accelerate delivery of new products and features, maximising time-to-value. This session will explore how AWS’s generative AI services can help ISVs embark on the innovation journey using Machine Learning.

In this session, learn how Generative BI in Amazon QuickSight can transform the way your users interact with data, and the value your software delivers to your customers. Allow business analysts to create dashboards using natural language, and enable business users to dive deep into data by simply asking questions. Discover how business users can also use Generative BI capabilities to quickly create compelling stories to drive decision-making, while developers can integrate these capabilities into applications to differentiate and monetize data like never before.

Generative AI has initiated a broad exploration for innovative use cases. Many software companies have already successfully completed their first proof-of-concept implementations, and these have been well received by end customers. Now they seek to monetize their innovations. But, at what price? How much are customers actually willing to pay? When calculating the business case, generative AI has many moving parts and the consumption based pricing model of the providers creates challenges. Together with Christian Wirth, Optimal Price GmbH, we help you navigate this journey based on the principles of value-based pricing.

In this session, learn how to add interactive insights and differentiate your applications with Amazon QuickSight. Discover how you can embed visualizations, dashboards and ML-powered natural language query into your applications at scale, with no infrastructure to manage. Explore real-world examples of AWS customers who have successfully incorporated powerful analytics into their applications, delivering insights and self-service capabilities to thousands of users.