Showing posts from November, 2019

When Data Science Fails Clean Technology

  Is data science infallible? If all we had to go on were the breathlessly excited articles published in business magazines and the highly polished releases from startups and large tech companies, it would certainly seem so. Think of the articles that have been published this year with titles like -     “Artificial Intelligence (AI) to replace all jobs by such and such year”, “Machine learning solves problem faster than humans”,     “ Data science shows promise to end world hunger soon” - and so on and so on….  Data science is a relatively new field, but one that combines elements from disciplines that have been around for a while - computer science, statistics, and algebra for example. The difference right now is the sheer power and availability of computational resources like the cloud that allow people to build and run different models and experiment on a scale that we haven’t seen before. And in high-tech companies, we’re also seeing an explosion in the availability of data that al