Nick Adams Man­ag­ing Di­rec­tor, AME Cloud Ven­tures

Rotman Management Magazine - - NEWS -

to be a US$ 24 bil­lion in­dus­try by next year, BIG DATA IS FORE­CAST and most of that data will come from ma­chine learn­ing. When we are con­sid­er­ing whether or not to in­vest in a com­pany, the first thing we look for is unique data sets. We love tech­nol­ogy-heavy com­pa­nies that gather or cre­ate unique data at every stage — from in­fra­struc­ture all the way to ap­pli­ca­tions, mo­bile and sen­sors. Ul­ti­mately, what data does a com­pany have that is unique and dif­fer­en­ti­ated? That is re­ally im­por­tant to us. Our next ques­tions are, What prob­lem is the com­pany try­ing to solve? What is the busi­ness they are try­ing to dis­rupt? What is the busi­ness model, and how is it dif­fer­en­ti­ated? Are they go­ing to try to com­pete with ex­ist­ing en­ter­prise IT ven­dors, and help them do some­thing bet­ter that they are al­ready do­ing? Or, are they go­ing to take on an en­tire in­dus­try — like in­sur­ance, health­care or ed­u­ca­tion — and use ma­chine learn­ing as an in­gre­di­ent to dis­rupt that? Th­ese are the lenses we use.

I’ll give you an ex­am­ple of a com­pany we are ex­cited about, which has not pub­li­cally launched yet. This startup is plan­ning to

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