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Unlike other components to an enterprises’ technology mix, determining the ROI of machine learning is a less-than-obvious process, particularly when solutions are new and little by way of case studies or benchmarks exist.
While we’re far from a world where SMBs (small- and mid-sized businesses) outside of Silicon Valley integrate AI into their regular operations, we will undoubtedly see an explosion of novel uses in industry and enterprise over the next 5 to 10 years, and executives are rightly concerned with how to make the most of those technology, time, and staffing decisions. If you’re a business who’s new to the machine learning scene (and that’s a vast majority), there are more burning questions than answers at present.
This is exactly why TechEmergence set out to ask the question:
“What are the criterion needed for a company to derive maximal value from the application of machine learning in a business problem?”