Five Strategies for Introducing Data Science to Your Company

There's no doubt that the data science industry has come along way just in the last ten years, but you might be surprised that there is still a lot of growth potential in existing companies today. Perhaps one big reason for that is that we consistently face a shortage of qualified individuals, but I think another reason is that non-practitioners don't really understand the value that data science and artificial intelligence can bring. They hear the words "AI" or "machine learning" and associate those to Hollywood stereotypes like HAL from 2001: A Space Odyssey or Skynet from the Terminator movies. Of course, data science practitioners recognize that those Hollywood AIs represent a fictionalized potential for Artificial General Intelligence (AGI), but there's a lot more to this space than a talking computer. From random forest classifiers working well with structured data to deep learning working with unstructured data like text or images, there are a lot of different ways a data scientist can bring value to the table.