As all companies evolve to become technology companies, market incumbents and new market creators/leaders both feel the technological convergence and business model divergence as the world reorients towards Web 3.0. At the core of it all are data volume, velocity, variety, and veracity.
"as technology becomes increasingly seamless, “digital” roles will gradually disappear. Traditional organizations must deeply embrace this transition in order for real transformation & long-term sustainability to occur."
Managing Automation: Employment, inequality, and ethics in the digital age.
"The current reality of smart cities is that there aren’t any. At the end of the day, most so-called smart cities are just cities with a few or several standout... smart projects. Such projects can take shape in a variety of ways. In Pittsburgh, the Pennsylvania Department of Transportation is piloting a $30 million smart-signal system that utilizes adaptive traffic signals to read traffic conditions and make adjustments to keep traffic flowing. Kansas City invested nearly $15 million in a smart lighting project that will install 200 lights along its new streetcar line. The lights have built-in sensors and cameras that detect the presence of people and can turn off when no one is around to save 20–30 percent in electricity costs. Both efforts represent the potential of smart city technology, but they certainly do not represent the networked, end-to-end planning of an entire smart city.
A big reason for the disconnect between smart city potential and reality is the fact that smart cities are where the digital world blends, but can also collide, with the non-digital world. Non-digital issues such as legacy governance, social justice, politics, ideology, privacy and financial elements that are not so smart, efficient or resilient when smart-city planning starts can become large factors. "
The true key problem facing organizations with respect to digital disruption is people — specifically, the different rates at which people, organizations, and policy respond to technological advances.
The manufacturing industry is one of the industries which moved rather slow from an enterprise-wide and certainly ecosystem-wide digital transformation perspective.