Enterprises spanning virtually all industries and markets are jumping onto the artificial intelligence bandwagon. Yet as they climb on board for a ride into the future they soon discover that stock AI tools aren’t capable of meeting their exact business needs.
However, organizations don’t need to spend large amounts of time and money building their own AI tools to fix this problem, suggested Kevin McMahon, executive director of mobile and emerging technologies at digital tech consultancy SPR. All they have to do, he noted in an interview, is to customize already existing tools to fit their exact business needs. Tailored solutions To be effective, AI software must be tailored to address specific business problems, and this is where generic algorithms often fall short, said Sanjay Srivastava, chief digital officer at professional services firm Genpact.
Author: John Edwards
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