Manufacturing Indaba 2018 to launch IoT / Industry 4.0 Conference – affiliated to the symposium as an official side event
ON 21 June 2018, the Manufacturing Indaba will host a one-day conference at the Sandton Convention Centre that will focus exclusively on the Internet of Things (IoT) and Industry 4.0, also known as the Fourth Industrial Revolution.
According to the organisers, the conference, an official side event of the main Indaba, will reveal how these revolutionary technologies impact manufacturers, providing attendees with a thorough understanding of this pertinent subject; enabling knowledge sharing and engaging dialogue discussions, as well as offering valuable insights to the latest global trends affecting the manufacturing industry.
“An annual 12% increase on average is expected on the number of connected Internet of Things (IoT) devices worldwide, from approximately 27 billion in 2017 to 125 billion in 2030. This emerging IoT movement not only has a significant impact on almost all aspects of the manufacturing industry, but on all facets of the economy as a whole,” the organisers said in a statement.
“Rapidly emerging technologies, such as the Internet of Things, Artificial Intelligence (AI), wearables, robotics and additive manufacturing, are spurring the development of new production techniques and business models that will fundamentally transform global production.
“Furthermore, these technologies have the capacity to foster new, more distributed and collaborative supply chains. Together, the speed and scope of change contribute to the complexity of existing challenges associated with the tasks of developing and implementing industrial strategies that promote productivity and inclusive growth.”
As the premise of this year’s conference, discussions centred around IoT will cover the fundamentals of connect, collect, compute and create, highlighting how manufacturers can capitalise on these innovations to optimise operations, create unique business models and solutions and enhance their ability to collate and use data through advanced, autonomous computation methodologies.