Unplanned downtime has wide-ranging impacts that affect more than just a plant's productivity and profitability. Forced shutdowns also have a major impact on plant and personnel safety, as well as greenhouse gas emissions and environmental compliance. But what if you could actually plan for downtime? In this paper, learn how advances in machine learning and predictive analytics are eliminating the surprise of unplanned downtime--enabling companies to minimize the most dangerous conditions, reduce the amount of gases released into the environment, and improve productivity and profitability.
The first wave of digital transformation was built upon leveraging cloud, mobile and big data, to create a platform for organisations to achieve greater operational efficiencies, better business insights, and deeper customer engagements. These efforts helped provide competitive advantages for organisations as they started to work smarter and more efficiently. The commitment to digital transformation is as strong as ever. According to IDC, global enterprises will spend $1.7 trillion on digital transformation in 2019. As manufacturers continue digital transformation journeys they are now looking to enter the transformation 2.0 phase, in which they will use new technologies to create even more opportunities and address new challenges on the factory floor.