New at Monte Blog
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When I first starting coding, seeing a terminal would put me into fight or flight. Even Excel would put turn me into a ball of stress. Today, I can speak and read the language of 1's and 0's that underlies the modern world. What changed?
I can still remember growing up when playing chess with a machine was a novelty. Then, when I turned 8, you could even tell the computer what piece you wanted to move to what square, JUST by talking! This is back in the days where Microsoft Paint was a hot commodity. Now, kids in elementary school have coding classes! How far we've come..
Even today, the capabilities of data science are explosively growing. What took me hours to do two years ago takes me just a few minutes and a few lines of code. The self-accelerating pace of technological innovation can feel overwhelming. As practitioners, it's so easy to fall into the trap of thinking learning the newest methods are too much, and we are better off sticking with what we already know. However, I'm here to tell you that the SINGLE most important step I've taken was escaping that mindset.
The truth is, data scientists are constantly learning new and better ways of doing things. Sometimes this saves a few minutes, sometimes this streamlines entire operations. Indeed, the trick that helped me learn to code was to stop expecting myself to already know the best way of solving a problem. I now approach problems with an open mind, applying my experience, but simultaneously looking for a better solution. It's a perpetual process of growth.
However, it's not always possible to serve your customers now and also have free time to research new methods in data science. I started XnF to meet this need. Xnf stands for X-inefficiency, which is an economic term to describe the social loss from overly high costs. When there is an absence of competition, companies lose the pressure to innovate. That potential innovation is lost when there is no drive to create it, and that loss is the X-inefficiency. Big companies have the size to staff entire offices with employees whose primary role is to conduct research and innovate. In fact, one of my first jobs in finance was conducting market research. Small local companies can't afford to pay employees just to do research that might or might not pay off. That's where we come in. We have the knowledge and the expertise to revolutionize your small business at a cost that still leaves you with margin from your newfound gains.
In short, we remove the X-inefficiency that is created by differences in economies of scale. Adam Smith is smiling, watching the invisible hand cut out the slack in your operations.