The next paradigm shift manual#

This paper highlights ways to achieve productivity gains by process optimization. A crucial aspect for all of these issues is a seamless communication both above and also under ground and IT interfaces which are easy and price efficient to implement. It requires a number of of important preconditions to be fulfilled: - Integrated IT systems with seamless interfaces between all components and peripherals involved - Real time information access in all locations - Real time overview of all operational aspects.

And a successful process integration requires the collaboration of machine vendors, infrastructure suppliers, IT services and the mine itself. Optimizing an overall process is a task of much higher total complexity compared to an isolated machine automation focus. Changing the focus from mechanization and automation towards optimizing the overall mining process will unleash another big potential for cost cuttings and for enhancing efficiency of production. What next? In mining operations there is still a high potential of unused productivity lost by „trivial“ things like organization, logistics and operational management. Soon, the productivity gain achieved by pure automation will also be flating out meaning that the margin cost of further productivity gain will be inefficiently high.

In the 90's, the first autonomous machines were seen, transforming the advertisement from the 1920's into „one man – multiple machines“ operated from a remote control room.

During the 80's automatic functions were added to the machines. In the 1950's and 1960's when mechanization progressed the word could be transformed into the meaning of „one man – one drill rig“.

The next paradigm shift manual#

As this technology continues its inexorable march forward, educators must continue to evaluate medical curricula to ensure that physicians are trained to be informed stakeholders in the health care of tomorrow.Ĭopyright © 2021 by the Association of American Medical Colleges.About 80 years ago the mining industry saw an advertisement of a machine manufacturer: „One man – one machine“, meaning the productivity gain by using a pneumatic rock drill instead of manual tools. ML has the potential to have a similar, if not greater, impact on the practice of medicine. At that time, EBM was a novel concept now, EBM is considered an essential component of medical curricula and critical to the provision of high-quality patient care. This paradigm shift is similar to the evidence-based medicine (EBM) movement of the 1990s. It is of paramount importance that ML concepts are integrated into medical curricula to position physicians to become informed consumers of the emerging tools employing ML. Physicians are important stakeholders in the health care system, but most are not equipped to make informed decisions regarding deployment and application of ML technologies in patient care. UC researchers believe remote sensing technologies such as satellites, planes, and drones will cause a paradigm shift in auditing Aotearoa’s biodiversity. There are a number of existing clinical tools that use ML, and many more are in development. Machine learning (ML) algorithms are powerful prediction tools with immense potential in the clinical setting.