We have reached a tipping point to reengineer our end-to-end supply chains. Resilience across the entire value chain is critical. You must have the systems in place and ensure there is no over-dependence on any one partner, country, or region.
A challenge lies in that fact that every single smart device connected to the IoT generates huge amounts of data. All of this information must be processed and analyzed to successfully take advantage of the opportunities presented by Industry 4.0.
More devices mean more data and more information. But there is a catch! Data in itself is not helpful until used in the right context. In order to gain that context, you must ask the right questions from the data.
When it comes to time-series data, there is no shortage of options. Cloud-based, data-lake, open source, and historians are all readily available solutions for data storage, along with lower prices for sensors, and wired or wireless offerings for data aggregation.
In the increasingly high-tech, high-touch realm of manufacturing, actionable data is an ever-growing factor in business and technical decision making. It's tempting to think that data collection can be a fully automated process, especially in the age of IoT and AI.
One of Industry 4.0's key drivers is data integration. By expanding the scope of data collection and making information readily retrievable, computers on the production floor have evolved to facilitate a higher level of collaboration and innovation.
The battery pack cost of $100/kWh is a primary target for Tesla. To achieve this, the company must solve one of the world's most demanding technology challenges - and it is how to increase the volumetric energy density of battery cells while slashing production costs.
The idea of machine to machine communication has raised the initial excitement and high hopes but now owners of mid-size and small factories ask: "What's next? How do I start adopting these technologies in my factory?"
UrsaLeo is an IoT platform company that aims to make it easy for companies to collect their sensor data in the cloud, store it, visualize it and integrate it with other IT systems. This is done in a highly secure and scalable fashion.
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