OzziePaezResearch

This post focuses on sensing technologies indispensable to many #AI applications in fields like agriculture, medicine, and #epidemiology. Interconnected devices within the Internet-of-Things, #IoT, are poised to change practices by delivering more timely, accurate data than previously available. For example, epidemiologists currently rely on data sources with significant limitations, including (1) clinical case data tightly controlled by privacy laws and healthcare provider p

A Fourth Industrial Revolution (4IR), aka Business 4.0, is upon us, although most people, governments and businesses have yet to fully connect the dots. That’s because we are still looking back at the ‘old Internet,’ whose primary impacts centered on the creation, transmission and sharing of vast quantities of information. Many of the most innovative Internet centered companies don’t manufacture, store or transfer physical things. Digital platforms, for example, make it p

The Internet-of-Things, the environment emerging from billions of interconnected devices, has been growing quickly and is set to explode over the next two years. Interestingly, for most people and organizations, its emergence has been hidden in plain sight. It will not stay that way for long. The number of interconnected IoT sensors, devices, equipment and systems is estimated to reach between seventy-five and two-hundred BILLION by 2020. The implications for established b

Massachusetts Institute of Technology’s (MIT) decision to offer a short course on the business implications of the Internet-of-Things (IoT) reflects the growing importance of the IoT for corporations large and small. I've been studying it in detail for over three years, focusing on its potential impacts on business, government and other institutions. During this period, the IoT has been for most businesses a growing phenomenon hidden in plain sight. It remains largely misun