This article was published on Dec 8th 2021
Just as the technological revolution of the 80s and 90s produced a new wave of change for businesses, with the invention of personal computers (PCs) and Windows program, the world is currently facing the brink of a new wave of technological revolution: data science, machine learning, and artificial intelligence Primarily, one similarity between the wide scale spread of computers in the 80’s and 90’s and the implementation of AI into our world today is the accessibility. Prior to personal computer, and particularly Windows, one had to be well versed in complex hardware and software components to be able to maximize the use of their computers. Similarly, AI had not been readily accessible to those who don’t study computer science or machine learning. That is rapidly changing, and the accessible implementation of AI into our world today is fast approaching. The same can be said for data science, as companies like data robot, DataIku, and major cloud providers are all engaged in improving the interfaces that end users access to build data science solutions.
I agree with Brandon’s position that AI, machine learning and data science is the new wave of technology we are currently experiencing. As someone who has always performed better in humanities-based subjects in school, I am very glad that companies are dedicated to making data science more accessible for people who are not typically well versed in coding and machine learning. I feel grateful to be a data science student at this point in time, where I am slightly ahead of others in this trend yet late enough that I do not have to pioneer through the code itself. It is readily accessible and easy for me to use!
If these areas of application interest you, try Googling your local College/ University programs for Data Science, Machine Learning and Computer Science. Lots of information is free and available online. Get ahead today!
This is a scatterplot of two beaver’s temperatures recorded at different times.
This is a scatterplot of the same two beaver’s temperatures recorded at different times, but in pink.