Legacy Companies' Biggest AI Challenge Often Isn't What You Might Think

When starting out to deploy artificial intelligence (AI) and machine learning (ML), executives of legacy companies often view the challenges mainly as technical problems -- particularly finding sources of internal data to analyze and choosing the right tools. What they may not appreciate is just how data-rich their legacy companies already are. From utilities and mining, transportation and shipping, to financial services and more, legacy company operations and customer interactions generate a wealth of data. Such data can be harnessed to tackle a very wide range of issues: optimizing supply chains, predicting maintenance, reducing accidents, increasing production output, improving operational efficiency, raising revenue productivity, and growing customer value. To realize these opportunities using AI, however, legacy companies worldwide typically soon discover that their biggest problem is not technology -- it's talent.