Despite its immense potential and widespread hype, machine learning and artificial intelligence analytics do not always live up to expectations when deployed in business. This is often due to factors such as irrelevant or misaligned use cases, poor data governance and a lack of synergy between business and data science teams, according to the Knowledge Integration Dynamics (KID) data science experts. Click here to read the full article