Summary:

In this episode, Lisa Wardlaw interviews Gary Hoberman, CEO of Uncork, about generative AI and its impact on various industries. They discuss the difference between traditional AI and generative AI, the need to challenge the status quo, and the importance of creating a vision for the future. They also touch on the adoption curve of codeless technology and how it relates to the adoption of generative AI.

In this conversation, Lisa and Gary discuss the importance of meeting customer expectations in the age of hyper-personalization. They emphasize the need for businesses to be agnostic to different models and tools in order to adapt to changing consumer demands. They also explore the use cases of generative AI in insurance, such as Intelligent Document Processing (IDP) and explain how it can improve efficiency and decision-making. They highlight the significance of traceability and lineage in AI models and the need to show the work behind decisions.

They conclude by urging companies to do a mark-to-market evaluation of their technology investments and embrace generative AI to create a competitive advantage.

Takeaways:

Generative AI creates something that didn't exist before based on various sources and is not constrained by predefined models.

Challenging the status quo and having a relentless pursuit of new ideas is crucial in the adoption of new technologies.

Codeless technology, such as Uncork, allows for the creation of applications without the need for traditional coding, reducing costs and increasing scalability.

The adoption of generative AI is similar to the adoption of codeless technology, as both require a shift in mindset and a willingness to embrace new approaches.

The future of AI lies in the ability to imagine and create new possibilities, rather than relying solely on past data and models. Businesses need to be agnostic to different models and tools in order to meet customer expectations in the age of hyper-personalization.

Generative AI, such as Intelligent Document Processing (IDP), can improve efficiency and decision-making in insurance.

Traceability and lineage are crucial in AI models to show the work behind decisions and gain regulatory approval.

Companies should do a mark-to-market evaluation of their technology investments to identify areas of improvement.

Embracing generative AI can help companies create a competitive advantage and drive innovation.

Sound Bites:

"Generative AI is creative, it's really, I'm creative. It's responding to me in some ways."

"Every application in my mind is a dark warehouse filled with boxes and the boxes keep coming in a conveyor belt."

"Our goal is how do we get out? Stop forcing yourself to think in those constraints. They don't exist."

"Your expectations are... And you know, for people that talk about consumers and, you know, consumer experience and customer experience, kind of like the hyper... It's like, ugh, nobody ever uses the word hyper -personalization because I'm like, you're faking it because you think you know me."

"I always tell everyone you have to be agnostic."

"There should be no one opening documents anymore."

Keywords:

generative AI, traditional AI, codeless technology, adoption curve, challenging the status quo, future vision, customer expectations, hyper-personalization, agnostic, generative AI, Intelligent Document Processing, traceability, lineage, mark-to-market evaluation, competitive advantage