Major Roadblocks on the Path to Machine Learning
October 31, 2016 Thomas Dinsmore In part one of this series last week, we discussed the emerging ecosystem of machine learning applications and what promise those portend. But of course, as with any emerging application area (although to be fair, machine learning is not new), there are bound to be some barriers. Even in analytically sophisticated organizations, machine learning often operates in “silos of expertise.” For example, the financial crimes unit in a bank may use advanced techniques to catch anti-money laundering; the credit risk team uses completely different and incompatible tools to predict loan defaults and set risk-based pricing; while treasury uses still other tools to predict cash flow. Meanwhile, customer service and branch operations do not use machine learning at all because they lack the critical mass of…
Link to Full Article: Major Roadblocks on the Path to Machine Learning
