Today, we have Eric Daimler, the CEO and co-founder of Conexus AI. Conexus AI serves as a hybrid generative AI platform, facilitating reliable and rapid digital modernization, empowering enterprises to seamlessly migrate, integrate, and transform their IT systems.

In this episode, we delve into the utilization of category algebra to implement a domain-driven approach to interoperability. This approach focuses on computing the optimal data model rather than relying on manual design. Additionally, we explore the common issue of architects misunderstanding the practical structure of databases, leading to the failure of IT programs, as opposed to adhering to their originally intended structures.

Key Discussion Points:

What key concepts, such as data mesh and strategies, should companies consider when building the right architecture to effectively leverage their data assets?
How does Conexus AI help companies facing decentralized data challenges?
What does the before-and-after scenario look like in terms of data usage and outcomes?

To learn more about our guest, you can find him at:

Website: https://conexus.com/

LinkedIn: https://www.linkedin.com/in/ericdaimler/

EP 198 - Rethink Database Design for the AI Era