Generative AI has the potential to redefine productivity, create novel applications, and reinvent customer experience. But without a strategic approach, you could not only miss out on the promise of this powerful tool, but also drain time, energy, and resources away from other mission-critical initiatives across your organization.
To that end, Kristen Backeberg, Director of Global ISV Partner Marketing at AWS, and Val Henderson, President and CRO at Caylent, recently sat down to discuss maybe the most important consideration around adoption: How to tailor your generative AI strategy around clear goals that can drive your organization forward.
Their conversation started, like so many around generative AI, with an overview of especially high-impact use cases. However, both AWS and Caylent have helped dozens of organizations adopt generative AI, and Backeberg and Henderson understand that starting this journey can be daunting.
The solution, according to both Henderson and Backeberg, is knowing which use cases are going to bring the most ROI.
“[The first implementation] has to generate real ROI,” Henderson said. “Based on what we’re seeing, if it doesn’t, generative AI adoption loses steam and attention. It loses momentum. That’s not good for anybody, because we’re seeing such incredible innovation, and the speed of that innovation has never been faster.”
In addition, focusing on customer experience provides a clear North Star for AI initiatives. By focusing less on buzzwords and more on clearly defining the system’s purpose, organizations can drive effective development and performance.
“People are always going to want to understand the why,” Henderson added. “Why did we do this? Did we do it to check a box, or did we do it because it helps us move our vision, our desire to help our customers, to create a better experience moving forward?”
By building together on top of Amazon Bedrock, Caylent has been able to help 50+ customers across even the most stringently regulated sectors adopt generative AI solutions, proving that this approach is a powerful way for organizations to bring use cases to life.
“This is where AWS feels good about trying to make sure that we’re continuing to think differently,” Backeberg said, “think bigger, think outside of the box, and bring together the pieces along the way that create some of the necessary guardrails while we develop this space.”
Listen to the full conversation to learn more about how to maximize the ROI of your generative AI initiatives with a clear, strategic framework on AWS.
