Regardless of the industry you work in, you've no doubt heard about artificial intelligence (AI) and its potential in changing the world around us. The technology has been a source of debate in the private and public sectors for more than 50 years, and yet it has only been in the last decade that we've begun to really see momentum build in the AI space. But what actually is AI? Leaving the jargon to one side, it should simply be understood as the use of computer systems to perform tasks that would normally require human intelligence. To date, there has been some significant progress made in the adoption of AI technologies, with industries from financial services to healthcare demonstrating a keen willingness to use AI to their advantage. At the same time, investment has been pouring in at unprecedented levels; investment into UK AI businesses alone now exceeds £3.8 billion according to Big Innovation Centre and Deep Knowledge Analytics.
The Robot Industries Association (RIA) has defined an industrial robots as "a reprogrammable multi-functional manipulator designed to move material, parts, tools or specialized devices, through variable programmed motions for the performance of a variety of tasks." The most common types of manipulators may be modeled as an open kinematic chain of rigid bodies called links, interconnected by joints. Some have closed kinematic chains such as four-bar mechanisms for some links. The typical industrial robot is mounted on a fixed pedestal base which is connected to other links. The end-effector attaches to the free end and enables the robot to manipulate objects and perform the required tasks.
You studied the Industrial Revolution in your school history classes. If you think back, you'll realize that the technology available during this span of time completely re-framed the way products were created and, in turn, the way people worked and lived. It's hard to imagine a world before industrialization. But the truth is that there was little change in the mechanics of the economy, movement of classes, or technological advancements prior to this time. After the industrial revolution began, though, technology boomed at a rapid pace.
Between 2018 and 2019, organizations that have deployed artificial intelligence (AI) grew from 4% to 14%, according to Gartner's 2019 CIO Agenda survey. AI is reaching organizations in many different ways compared with a few years ago, when there was no alternative to building your own solutions with machine learning (ML). AutoML and intelligent applications have the greatest momentum, while other approaches are also popular -- namely, AI platform as a service or AI cloud services. Conversational AI remains at the top of corporate agendas spurred by the worldwide success of Amazon Alexa, Google Assistant and others. Meanwhile, new technologies continue to emerge such as augmented intelligence, edge AI, data labeling and explainable AI.