The Impact of AI on the Manufacturing Sector
The implementation of AI in manufacturing promises an increase in productivity, self-correcting technology and less environmental damage. The arrival of smart factories already sees this technology in action, with the Finnish Reboot IoT Factory, for example, claiming to revolutionise the manufacturing industry with their innovative technology.
Some current examples of AI in manufacturing include computer vision, in which a camera much more sensitive than the human eye can pick up microscopic defects in products, process those defects and learn from them. Another example of this remarkable technology is the German conglomerate Siemens gas turbines with sensors that feed data to an AI system, allowing it to adjust the temperature, pressure and other variables in order to keep emissions as low as possible.
The Impact of AI in Business
A is revolutionising businesses, with technology aiding in problem-solving, recruitment, customer service and security through helping companies to make sense of the plethora of data being created on a daily basis by customers, suppliers and employees. Whilst most of the recent fear around AI in the workplace has been focused on job losses, in some cases it has been proven that technologies such as Intelligent Process Automation (IPA) have been improving roles through freeing employees from completing repetitive and manually intensive tasks, enabling them to focus on more rewarding and stimulating activities, significantly improving morale. For example, UK based independent manufacturer of cleaning and hygiene products, Zenith Hygiene, deployed Celaton’s Intelligent Document Processing (IDP) platform, inSTREAM™ for their Sales Order processing and in doing so freed up their team to drive sales, build customer relationships and focus on growing the business. Additionally, Zenith’s team had more time to pursue training, enhancing skills which have enabled them to be more efficient and productive in their daily roles.
