You already know that a decision that is backed by some analysis and data is usually better than a decision that comes purely from the gut. So when you need to make a decision on ways of improving your customer success experience, you need some data to work with. Most organizations employ some twitter usage in their customer success, some more than others. That’s why it’s important to do some analysis on incoming tweets and how well they are replied to.
Business leaders from a wide variety of industries and from companies both large and small are feeling the pressure to implement viable and effective AI strategies to keep up with the many innovations happening in the field.
As a CTO and a former consultant in the data science and machine learning space, I often get asked the question, “How do I go about planning out and deploying a machine learning project at my company?” Most of the time, managers do not have intimate familiarity with machine learning or how to apply machine learning to their business problems. When I get asked this, I almost always reply with a simple answer, “BIOD”.