IIC Journal of Innovation 6th Edition - Page 26

Industrial Intelligence: AI’s Implications on Security, Seamlessness and Services for the IIoT Services processes or plants, but to monitor stock levels, supply chains, and market forces. In agriculture, AI can identify optimal planting locations, watering schedules, and harvest timing. In the context of smart things, Artificial Intelligence is what allows devices to evolve. Physical objects ship with one manifestation; malleable, adaptive software can allow these goods to remain relevant over the long haul. AI allows software to remain secure and useful, improving with age as opposed to becoming deprecated when the world continues to evolve. Because AI is rational and data-informed, it can become an unbiased, trusted advisor, removing human subjectivity and improving practitioners’ confidence in decisions. Those organizations adopting AI will have significant competitive advantages, more resilience to turbulent markets, improved operational efficiency and will work towards a vision of zero downtime, zero waste, zero accidents, and zero missed opportunities. In addition to allowing devices a modicum of self-awareness, Artificial Intelligence itself can become a valuable service. We observe from the automotive industry that autonomy stemming from advances in artificial intelligence can fundamentally change how people view vehicles – transitioning them from single-purchase, durable goods to shared mobility services. Outside the obvious uses for artificial intelligence and connectivity in enabling these vehicles’ scheduling and operation, the same technology can be used to create smart, self-diagnosing vehicles that shift maintenance from responsive to proactive. Eventually, AI may be used to not only detect faults, but to create self-healing vehicles. A R OADMAP T OWARDS C OGNITION IN THE I O T As AI continues to improve and IoT scales up, the marriage between the two will become increasingly valuable to industry. Improved security, seamless and pervasive implementation, and outcome-based applications will become transformative across verticals. The resulting better- designed systems taking security, data privacy and ownership, interoperability, and resilience into account will ensure a bright future for all connected devices and services, so businesses can reap the benefits of accepting good technologies into their industries. Already, artificial intelligence has been used to learn “fingerprints” for characteristic faults and maintenance needs in vehicles. 4 Other industrial processes can be similarly monitored, to identify the optimal time for tool replacement, or to correlate production issues with particular machine tools or operators. Connectivity at scale allows these analytics to monitor not just individual 4 At the end of the day, AI’s continued use will make IoT safer and more effective leading to a grand vision where the default question Let Your Car Tell You What It Needs: http://news.mit.edu/2017/software-let-your-car-tell-you-what-it-needs-1026 IIC Journal of Innovation - 25 -