Business Process Engineering
The Power of Generative AI
Traditionally, Machine Learning (ML) has been a game-changer for businesses. But the advent of generative AI has created a paradigm shift in problem-solving approaches. With generative AI, we can address a myriad of problems previously considered unsolvable using conventional ML methods. The vision for the future is increasingly about integrating AI into business processes, with a strong focus on user experience (UX) and making AI accessible to intelligent non-programmers.
A Case Study: A Complex Matching Problem (Protecting Proprietary Specifics)
Our journey into the realm of Business Process Engineering (AI) involved a complex problem that our client had been grappling with for many years. The challenge was to match industry guidelines produced by multiple municipal bodies that did not communicate with each other. The complexity was so immense that a computer science approach had not been previously considered—imagine a regex with a thousand 'if-then' conditions.
The arrival of Large Language Models (LLMs) provided us with a fresh perspective on problem-solving. We discovered that nearest neighbor retrieval from an embedding space made this previously daunting problem almost trivial. With the procurement of Pinecone and OpenAI, we were able to solve the machine learning aspect of the problem in a mere 48 hours, and at an astonishing cost of less than $3. This achievement, mind you, was before the Ada Embeddings price cut.
From Days to Hours: The Power of AI
The results were nothing short of spectacular. Before, an ad-hoc request to match guidelines across municipalities could take days. With our solution, it became a quality assurance task that could be completed in an hour. The reduction in time and effort was transformative and a testament to the power of AI in business process engineering.
The Next Step: Integration into Business Processes
The challenge we now face is arguably the most difficult: integrating the metric space we have built into the existing business processes of the team. Yet, it is this challenge that truly defines the essence of a Business Process Engineer (AI). We are no longer just leveraging technology to solve problems but integrating it into our everyday business operations to create more efficient, effective processes.
Conclusion
In this new era, it's not about simply using AI but about effectively embedding AI within our business processes. The combination of technology and business expertise is increasingly crucial, and the role of the Business Process Engineer (AI) is undeniably an exciting and important evolution.
We are at the forefront of a revolution, and we're thrilled to see where this journey takes us. Whether you're a Software Engineer, a Data Scientist, or someone with a keen interest in AI, there are endless opportunities in this expanding field. Join us as we continue to shape the future of business with AI.