Asking the right questions
Gartner reported that only 15% of analytics projects ever make it out of the pilot state to enterprise deployment. That's a lot of wasted time, effort, and money.
Right-size your analytics capabilites.
Machine Learning can boost your analytics efforts by helping computer systems learn in a manner that simulates human learning. However, the technology you use to implement ML is not nearly as important as the thought process behind your implementation.
Many people I talk to---especially those in the C-suite---are excited about artificial intelligence (AI), and machine learning (ML). However, they're a little fuzzy on exactly how it can help them.
Content is still king for companies looking to scale growth and product adoption.
Software—powerful as it may be—won't help you very much without using your most valuable asset—your people—to make sense of it. Without people to interpret the results, that software is just 1's and 0's.
Without the ability to properly interpret data, its true value is locked away.