Achieving success with generative AI requires a modern data strategy focused on aligning mindset, people/process, and technology. Customers will learn key elements of an effective data strategy, including a customer-centric mindset, empowered teams, and a scalable data architecture enabled by cloud services like AWS Bedrock and other AWS generative AI offerings to fuel secure and governed generative AI applications. By building these foundational capabilities, organizations can harness the power of generative AI to create business value.

What’s in it for the Customers and Prospects?  While AI and GenAI are at the forefront of every leader’s mind, ​the successful adoption of enterprise-grade generative AI applications in production hinges on a robust and trusted data foundation. A strong data foundation demands scalability, data quality, seamless integration, governance, and security to ensure that generative AI applications produce relevant, accurate, trustworthy, and unbiased outcomes.  

Leaders who join will have the opportunity to learn and network on the following topics: ​ 

• GenAI’s promise and considerations for successful GenAI implementation in the enterprise 

• Requirements for AI-ready data foundation and how data can be your GenAI differentiator

• Best practices and blueprint for delivering Enterprise Ready GenAI at scale with Informatica, Deloitte, & AWS

Let's explore the transformative potential of Generative AI, guided by insights from cloud experts and industry leaders. We'll delve into real-world examples of AI innovations, strategies for C-level executives to integrate AI successfully, and best practices for enhancing customer experiences and driving business growth. Our discussion will also cover the most anticipated advancements in Generative AI over the next 12-24 months and their potential impact on businesses. Additionally, we'll address the ethical and regulatory considerations surrounding AI use, and examine the build vs. buy decisions executives face when choosing AI solutions.