Since the early eighteenth century, it has taken four industrial revolutions to reshape our social, cultural, economic and human environments. Now we are living through the fourth industrial revolution, which represents a fundamental change in the way we live, work and relate to one another. It is a new phase in human development, enabled by extraordinary technology advances, ubiquitous, mobile supercomputing, intelligent robots and assistants, autonomous cars, neuro-technological brain enhancements, predictive analytics, genetic editing and much more. The evidence of histrionic change is all around us and it's happening at an accelerated pace. Every industrial revolution introduced new skill sets, set echelons of expertise as well as defined strata of requisite experience, so the same is expected from the fourth industrial revolution.
AIoT, the confluence of AI and Industrial IoT technological forces, gives rise to a new digital solution category – the Artificial Intelligence of Things (AIoT). AIoT is built for industrial companies looking for better ways to connect their evolving workforce to data-driven decision tools and digitally augment work and business processes and making better use of industrial data already collected. ARC Advisory Group has observed that the convergence and overlap of IT and OT groups, driven largely by the digital transformation of industry in recent years has created organizational confusion and a significant "gray-space" of common technologies between each area, one area being AI. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment. While engineering roles are skilled in analyzing large amounts of data, setting up and creating production grade machine learning environments is not easily accomplished.
Artificial Intelligence (AI) is the buzzword these days, and for good reason. Businesses around the world are taking up AI technologies to try and reduce operational costs, increase efficiency, grow revenue and improve customer experience. Businesses are also looking at putting a full range of smart technologies such as machine learning, natural language processing and more, into their processes and products. However can businesses that are new to AI, reap major rewards? When it comes to artificial intelligence, most people are well aware of the tropes from popular entertainment: the malevolent computer, the android gone rogue.
Artificial Intelligence (AI) and machine learning (ML) have been hot topics the last few years, and for a good reason. With AI, we can do previously impossible or costly to do things. Artificial intelligence is also benefiting businesses by automating processes, saving time and money, and improving customer experiences. But what every business leader must know about AI and ML? AI is already playing an important role in our lives, but it is just the beginning. It has the potential to change how we work, teach, live and interact with others.
Industry 4.0 signifies the promise of a new Industrial Revolution--one that marries advanced production and operations techniques with smart digital technologies to create a digital enterprise that would not only be interconnected and autonomous but could communicate, analyze, and use data to drive further intelligent action back in the physical world. It represents the ways in which smart, connected technology would become embedded within organizations, people, and assets, and is marked by the emergence of capabilities such as robotics, analytics, artificial intelligence and cognitive technologies, nanotechnology, quantum computing, wearables, the Internet of Things, additive manufacturing, and advanced materials. While its roots are in manufacturing, Industry 4.0 is about more than simply production. Smart, connected technologies can transform how parts and products are designed, made, used, and maintained. They can also transform organizations themselves: how they make sense of information and act upon it to achieve operational excellence and continually improve the consumer/partner experience.