Industry 4.0 A big part of Industry 4.0 is the use of AI technologies to enable smarter machines that can take on tasks like self-monitoring and diagnosis autonomously. AI’s ability to help manufacturers and other industrial businesses predict their maintenance needs and reduce downtime is also becoming critical, especially as older, knowledgeable workers retire and leave a skills gap behind. Companies like IBM, with its Watson IoT solutions for industrial equipment, are helping technicians of all experience levels leverage IoT and AI solutions to boost productivity in the age of Industry 4.0. IBM’s AI-powered repair assistant, for instance, provides guidance in the form of smart suggestions based on actual data, as well as access to expert help across multiple sources in realtime. AI is also revolutionizing process monitoring and process control in the industrial realm. But implementing AI can be easier said than done, and many AI projects fail. To address this reality, DataProphet, an AI-as-a-service solution provider for manufacturing, suggests three best practices for manufacturers implementing AI for process control: select a proactive and holistic AI solution, augment human expertise with machine learning, and optimize continuously. The first best practice—select a proactive and holistic AI solution—encourages manufacturers to consider the benefits of a proactive model of assessing process conditions versus a reactive one. Second, augmenting human expertise with machine learning is an example of “human in the loop” design, which can not only lead to better outcomes but also help build trust in the AI system. Finally, DataProphet suggests continuous optimization of factory processes as a third critical best practice. Because a factory is a dynamic environment, an AI optimization system must also be dynamic by design. While every manufacturing process is different, AI can help manufacturers improve quality, reduce cost, and, in general, optimize processes across the board. AI technologies are part of the revolution that is Industry 4.0, which holds such promise in terms of operational cost savings for factories and other industrial sites. By seeking out best practices for IoT and AI implementation, manufacturers can get an even better head start on that all-important ROI.
Education 4.0 Although, the progress in the AI field has been impressive in recent years, however, in the field of education, its potential remains untapped. With the application of AI in education, the teacher can be freed from certain routine tasks and she may concentrate on creating links with students, getting to know them, guiding them towards mastery of employability skills and also to accompany them in their journey towards their development as human beings. Teachers may not worry too much about losing their place with the arrival of AI and other new technologies. Yes, part of the instruction can be AI assisted, but inspiring, valuing, loving or, in short, educating are acts that no intelligent robot or computer can accomplish. In this new paradigm of education, the roles of learners and their teachers get redefined. The learner plays a major role in her learning. She must succeed in a succession of challenges that allow her to acquire the basic knowledge and technical skills that are presented to her in an AI assisted mode in an adaptive learning way till she masters them. She is supported by technology that adapts to her personal learning goals. The AI algorithms can offer resources and products based on their query history on the web and thus, offer students personalized learning according to their needs. Artificial intelligence can make its contribution where teachers need it most, in the personalization of teaching. The intelligent learning system will interact with students through a variety of means (visual, auditory, kinesthetic) and elements of virtual and augmented reality. This will enrich the learning process. The possibilities for applying artificial intelligence to teaching are multifarious. As Joel Mokyr, a professor of economic history at Northwestern University, says, “I doubt we can ever dispense with human teachers. But a professor assisted by intelligent machines learning about each student, comparing him with millions of others and choosing the best approach for his profile, would be even better. Artificial intelligence does not compete with us, it complements us, makes us better, more intelligent, better informed. It does not replace individuals, it makes them more effective. Considering how much education needs to evolve, it is better!”
Future Jobs AI is poised to transform nearly every industry, and with it will come significant changes for many job functions. Many roles across organizations will require at least some use of artificial intelligence technologies in the coming years, creating massive new opportunities for the AI-savvy regardless of discipline.
While no one knows what artificial intelligence’s effect on work will be, we can all agree on one thing: it’s disruptive. So far, many have cast that disruption in a negative light and projected a future in which robots take jobs from human workers. That’s one way to look at it. Another is that automation may create more jobs than it displaces. By offering new tools for entrepreneurs, it may also create new lines of business that we can’t imagine now. A recent study from Redwood Software and Sapio Research underscores this view. Participants in the 2017 study said they believe that 60 percent of businesses can be automated in the next five years. On the other hand, Gartner predicts that by 2020 AI will produce more jobs than it displaces. Dennis Mortensen, CEO and founder of x.ai, maker of AI-based virtual assistant Amy, agreed. “I look at our firm and two-thirds of the jobs here didn’t exist a few years ago,” said Mortensen. In addition to creating new jobs, AI will also help people do their jobs better — a lot better. At the World Economic Forum in Davos, Paul Daugherty, Accenture’s Chief Technology and Innovation Officer summed this idea up as, “Human plus machine equals superpowers.” For many reasons, the optimistic view is likely the more realistic one. But AI’s ability to transform work is far from preordained. In 2018, workers are not being adequately prepared for their futures. The algorithms and data that underlie AI are also flawed and don’t reflect the diverse society it’s meant to serve.