Latest Posts

Leveraging the Digital Twin

For a Closed-Loop Digital Twin, the Learning Never Stops

By design, a digital twin should continuously learn and improve through a constant feedback loop of real-time…

Using IoT for transformational change

Making Industry 4.0 a Reality: Connectivity

A key building block of Industry 4.0 is leveraging the Internet of Things to connect and monitor assets. Read more about how IoT makes transformational change….

Misconceptions About the Industrial IoT

Industrial Internet of Things (IoT) as a service enables global access of secure, cloud-based applications and solutions that quickly scale, expand and integrate based on business needs….

Leverage industrial IoT to make the move to predictive maintenance

If there’s one constant since the beginning of organized production, it’s the urgency to maximize…

Streamline the IoT App Dev Process with Low-Code

The Internet of Things (IoT) is the leading digital transformation initiative, according to a recent…

Digitalization – The New Competitor

Digitalization is The New Competitor You Can’t Ignore

The industrial Internet of Things (IoT) has completely upended the competitive landscape for manufacturers. …

Adjust operations to the new normal with Closed-Loop Discrete Events Simulation

Today, manufacturers are facing unprecedented challenges due to the COVID-19 pandemic. Businesses expect major disruptive…

Semantic Data Interconnect (SDI) – What’s new in 4.0.0

Semantic Data Interconnect (SDI) is a MindSphere application that empowers customers to easily link data…

Capture legacy data

Legacy Equipment: Capturing hidden data treasures from the manufacturing floor

Hidden within older, legacy production equipment and systems are the data that power predictive maintenance. By capturing such data from legacy systems and connecting it to an IoT-based predictive maintenance solution, manufacturers will enable early detection of asset defects and other conditions that can lead to faults. …