The Internet of Things is set to transform and disrupt what we do and how we do it. But there is a coming revolution – the integration of computer vision, machine intelligence, data analytics, with IoT that promises a whole new set of disruptions.
This post is Part One of a series of briefings on the convergence of computer vision and the Internet of Things (IoT). It discusses what computer vision is, the impact of advanced machine learning algorithms, examples of use cases, and current challenges.
Are you ready for IoT? Despite its transformational potential, most organizations are not ready. In an era of rapid disruption and digital transformation, IT executives and managers must lead the charge. They must bridge the gap between technology, business, engineering and operations. They are evangelists, teachers, facilitators and innovators.
This article lists six things IT managers must do to successfully accelerate IoT adoption within their organizations.
We are in a modern day gold rush, sparked by the Internet of Things (IoT). Thousands of companies, new and established, are planning “smart” solutions.
Amid all this, what IoT lessons learned from the past can today’s IoT companies apply to avoid mistakes of previous “gold rushes”? Are we smarter now, or are we making the same mistakes? The answer is yes and yes. This articles identifies five major mistakes made by dot-companies and five Iearnings for today’s IoT companies.