Transformative change through Internet-of-Things isn’t about the internet, but the changing nature of “things” and how they can apply to products that are manufactured.  Smart, connected products are generating new value through reduced cost of production and improved efficiencies in areas like service and innovation, opening up new opportunities for innovation and grow.  For manufacturers and users of connected devices, the demand for better information that lies within IoT is outpaced only by the growth of the data itself


To capitalise on this paradigm shift, manufacturers and their technology partners should reassess their strategy and planning; leveraging opportunities that are now offered through digitally connected devices.  Equipment that can self-diagnose its error code and initiate a workflow to request maintenance from a technician, including the necessary part to fix the machine.  Through Augmented Reality the service can be performed in the shortest possible time, as the history and details are on a mobile device and at the fingertips of the person performing the service.  Through augmentation the manufacturer can also add capacity or reprogram the unit on demand

We are starting to see industries being shaken up, reshuffling of power and positioning, and new entrants to the market that have been re-invented through digital disruption

An example of how Caterpillar are using Augmented Reality and Internet of Things to consolidate and leverage data throughout the organisation


f you were a Senior Executive how would you decipher what it means to your business and what if anything, you should do differently?  IoT is impacting business models at their structure, through competitiveness, what you manufacture, how it sells and who you partner with

People will assume the most important role, underpinned by a value chain of collaboration with suppliers. Big Data will form the Value Chain Network from Production to Packaging, through to Logistics.   When an order is placed all the pieces in the Value Chain will be invoked, including machine communication coupled with manufacturing intelligence

ThingWorx Analytics enables enterprises to find the true value in their IoT data - to learn from past data, understand and predict the future, and make decisions that will enhance outcomes



Monitor edge devices and provide real-time pattern and anomaly detection on real-time data streams



Provide automated predictive modelling and operationalisation for a variety of different outcome.  Pattern and anomaly detection on real-time data streams


Delivery prescriptive and simulative intelligence that identifies factors that contribute to an outcome and explains how to change a predicted outcome


Automatically operationalise and maintain predictive and simulative intelligence to deliver to end-users


ThingWorx Analytics is an integrated capability that enables developers to quickly and easily add real-time pattern and anomaly detection, predictive analytics and simulation to the solutions they build


Finds anomalies from edge devices in real-time.  Automatically observes and learns the normal state pattern form every device or sensor.  It then monitors each for anomalies and delivers real-time alerts to end-users


Automatically predicts future outcomes.  Subscribes "Things" to relevant outcome-based predictions (time to failure, errors per hours, etc.).  Displays results in context to end-users through any ThingWorx powered solution or experience


Improve future performance and results with automated prescriptions and simulations.  ThingOptimiser automatically identifies the key factors causing a given outcome