Leveraging data, analytics, and machine learning can give companies a competitive advantage. But a successful machine learning program can seem out of reach for many companies: They may not have enough data scientists, data engineers, or other specific talent; or the data science process may be too time-consuming or require too many resources.
That’s the quandary that Convergint Technologies faced a few years ago. Leadership at the global services-based systems integrator, which designs, installs, and services integrated building systems, such as electronic security, fire alarm, and life safety systems, wanted to leverage AI for sales forecasting. The only problem? Convergint didn’t have a data science function. It didn’t even have a CIO.
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Read More from This Article: Convergint builds data science team from the ground up
Source: News