Prototyping Custom AI Enterprise Solutions With Python

Almost every tech sales conversation ends with a mention of AI. Many organizations have been looking at ways to implement AI solutions in their businesses. When these business problems are presented, there is very little clarity on the use cases of AI, and a lot of the work has been experimental.

Python developers, technical leads, startup founders and small-business engineers looking to implement LLMs can leave with a clear understanding of how to build lightweight, private, and affordable AI pipelines for specific business use cases using Python.

As most enterprise systems in Africa are not based on Python, my talk will explore how Python is an amazing tool to use to create prototypes and show proof of concepts for problems or features that have been requested. The approved concepts can be translated to the system's stack code or integrated as a microservice. Using a real-world business automation example, we’ll explore how small teams can harness AI for reporting, customer queries, or internal knowledge tasks with minimal resources.

Python developers, technical leads, startup founders and small-business engineers looking to implement LLMs can leave with a clear understanding of how to build lightweight, private, and affordable AI pipelines for specific business use cases using Python.