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.

Generative AI is generic and commodity unless you can integrate data about your business and customers, and that requires a modern data strategy. While technology is a critical component, learn what else comprises a modern data strategy and hear best practices for getting started on your journey today.

Snowflake and Eviden will share the learnings from accompanying their customers on GenAI topics over the last couple of years, sharing stories of the solutions built.

Companies are moving up the maturity curve on GenAI topics, gaining clarity on which use cases have the adequate ROI to go into production and shifting their focus to user adoption and cost control.

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.