When I look back on our journey to secure funding, one of the most interesting encounters we had was with a fund manager from one of several venture funds we spoke to. Before we even sat down, he said, “If you are going to talk about AI, you can leave. Also, if you are going to talk about machine learning, you can leave as well.”
Interesting enough, we did talk about AI and machine learning, but the meeting was still fruitful for both parties. The reason was simple – we didn’t talk much about what AI or machine learning is. Rather we talked about what we intend to use it for. We focused on the purpose (the goal), and the means to reach the goal (the product we build), and not on the method (AI and machine learning).
Marketing hype causes distractions
One of the biggest distractions in today’s marketing message concerning AI is the excessive focus on AI itself. The focus should instead be on what it can and should be used for. When Simplifai was first founded, we were contacted by decision makers who were curious about the technology. They wanted to try it out on “something”. What that something was, wasn’t that important as long as it showcased the technology. This of course didn’t fly very well as this kind of approach seldom passes the most important sanity check: The business case.
Why, what and how of AI
When I do product and solution design, I tend to focus on the goal. Why does the customer need the solution? What are they trying to achieve? To make it simple, I label this as the “Why”. Once you have the purpose in mind, the stage is set, and we can discuss the next point.
Once the goal is defined, we need to define the means to get there. The solution itself is the “What”. So, what will we be making to achieve the goal? Note that there are many different solutions to the same problem, and they are all within the scope of “What”.
Once the “What” is defined, the next step will be to define the steps and approach, the “How”. How exactly are we going to build the solution? This is where the technology and methodology come in, often we realize that we may not even have to use AI or machine learning to build the solution that would still achieve the goal.
My recommendation to business owners and decision makers, when acquiring any IT solutions, AI or not, is to focus on the goal and vision. Equally important is to find a vendor who truly understands it. Once the vendor has understood the goal and vision, the solution will likely be something you truly need. And you will soon realize that the choice of technology will be of less importance than you might think.