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We propose to discuss how the creation of Generative Artificial Intelligence co-pilots can expand human capabilities. We will present a practical case: our experience developing a co-pilot for Bantotal, a leading banking core, which seeks to improve observability for analysts and testers, and facilitate continuous adaptation to the changing needs of users. We will reveal learnings and results from an R&D project supported by Bantotal and Microsoft's AI CoInnovation Lab. Additionally, we will explore how SGeneXus Enterprise AI can streamline the implementation of systems based on Deep Learning Language Models (LLM).
This talk dives into the cutting edge of software development, where Artificial Intelligence, and in particular Deep Learning Language Models (LLMs), are redefining the landscape. We will explore the use of GenAI for the design of intelligent co-pilots that elevate the capabilities of development, analysis and test teams, beyond conventional methods.
Our focus is on sharing key knowledge and experiences accumulated during the creation of these advanced tools. Therefore, we will share a case study: we will discuss both the transformative potential and the challenges encountered in our experience developing a co-pilot for Bantotal. The diversity of roles that interact with your core banking and the inherent complexity of this system offer a rich setting for analysis and practical demonstration.
Throughout the session, we will reveal the strategies adopted and obstacles overcome, and show how these generative AI solutions are setting a new standard in the financial industry. At the end, attendees will have a deep understanding of how GeneXus Enterprise AI can drive the implementation of efficient and adaptive LLM systems, in order to prepare organizations for constant adaptation and evolution.
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