As user-friendly analysis tools become available, utilization of AI will increase. We liken AI-based and other emerging technology tools to the spreadsheet, which enabled business people to, in effect, write simple programs to analyze data. As Microsoft is a long-term advocate of end-user computation, is committed to AI and ML, and has a long track record of enhancing Excel with analytic tools, we expect the company to make ML extensions to Excel available starting in 2018.
Until now, few IoT projects have leveraged the potential of AI to unearth value insights in gathered data. Little IoT, which has prevailed over large IoT deployments over the last three years due to its accessibility, tends to place little reliance on AI, using customer expertise to respond to incoming data.
Once IoT systems are up and running, however, users will look to AI to generate additional value, but this will be inhibited by the high cost of the experts required for AI.
Businesses, lacking the resources to hire data scientists or access to the services those scientists provide, will invest in AI tools in a manner similar to how they transitioned from paper-based calculations to spreadsheets. Vendors, including Microsoft, are developing tools with which business users can apply AI, and especially machine learning (ML) techniques, to IoT-generated data without the need for data scientists.