GenAI is critical to creating efficiencies. Even if we’re not using GenAI, our competition certainly is. If we do not take advantage of the technology to transform our business, we risk being left behind.
It is critical to create a strategy for AI, which should explicitly include GenAI as an independent item. Traditional AI is extremely important and it must have its own separate treatment as well – which can be related to the GenAI plan, but not necessarily intertwined.
However, with LLMs changing every week, billions of parameters being added every month, and with both open source and closed source LLMs competing for our attention, how do we decide what technologies we’re going to use? And how do we know that the decisions we take today are not going have to be deprecated very soon? Future proof decisioning is going to be key.
Robotic Process Automation and other legacy automation methodology may have a place in today’s automation too, but any business that is not taking advantage of the power of GenAI for improving efficiencies is risking its business. Processes (order-to-cash, etc.) need to be examined, automated and deployed per plan.
Generative AI begs for Responsible AI principles to be applied, read here for a great introduction to the topic.
If you’d like to learn more – I’m happy to discuss your specific scenario.
