Generative AI has the potential to revolutionize industries and organizations, but how much will it cost your business, and how do you measure return on that investment? In this episode, get practical guidance on estimating the costs of generative AI adoption, from model selection to infrastructure requirements. Learn how to quantifying the productivity gains and efficiency improvements enabled by generative AI, strategies for upskilling your workforce, and advice on driving organization-wide adoption of generative AI capabilities.

Resources:

Amazon Bedrock: https://aws.amazon.com/bedrock/

Amazon Q: https://aws.amazon.com/q/

AWS Generative AI Innovation Center: https://aws.amazon.com/generative-ai/innovation-center/

The concept of 'business resilience' traditionally centers on an organization's capacity to handle failures and endure disruptions. However, truly resilient businesses go beyond mere response strategies; they proactively design and rigorously test plans to prevent such setbacks. In fact, the most resilient businesses don’t just withstand disruption, they create it.

In this discussion, AWS Enterprise Strategists Miriam McLemore, Chris Hennesey, and Clarke Rodgers will explore the notion of business resilience through the lens of a 'disruptor’s mindset.' They will highlight how embracing innovation not only fosters a competitive edge, but also propels the entire industry forward.

Explore the critical role of emotional intelligence in leadership with Rich Hua, AWS's Worldwide Head of EPIC Leadership, Innovation and Transformation Programs. Rich discusses how leaders can manage their own stress and mindset to effectively lead digital transformation and innovation initiatives in the age of rapid AI advancements. He also shares strategies for cultivating trust, psychological safety, and generative disagreement within organizations to unlock the full potential of human-AI collaboration.