November 30, 2018


Digital Industrial Assistant

We combine Human Machine Interfaces with Machine Learning and Artificial Intelligence to produce what we call Digital Industrial Assistants.   The Digital Industrial Assistant helps Humans and Machine Perform Better.

see video…

The goal of Digital Industrial Assistants is to improve manufacturing performance in the form of Increased Productivity, Decreased Costs, Improved Quality and Improved Safety.

While many people associate Industry 4.0 with tablet controlled robotics.

The facts are that there are only 74 robotic workflows for every 10,000 workers on a global average.   This means that 99.5% of all manufacturing processes are performed by humans.

The power of Artificial Intelligence and more specifically, Deep Learning, is that interactions in manufacturing processes that are too complex for humans to effectively untangle can be classified, trained and turning into recommendation and closed loop optimization of assembly processes.

Human Adaptability evolves at a somewhat linear rate.  However, technology is evolving at an exponential rate.

Companies today endeavor to make use of the fast amounts of data that is now available to them.  A common activity is to hire a development team to make them a dashboard application to collect data and then “see what happens”.   Unfortunately, these science projects only pay off for teams that correctly match the information to known business problems and then engage the discipline the time and focus to understand their meaning.  The complexity of supply chains and large business can be very complex and perhaps intractable.  When discipline is followed in reviewing dash board the results can be slow to have an impact because the other procedural steps that may need to be traversed to accomplish change.

Slow moving legacy business processes based on human adaptability are not able to keep pace with the real-time business changes.  Companies unable to adapt to these are velocity changes can not exist in the market for long.

The answer is LinqThingz Digital Industrial Assistant.   LinqThings provides connectivity to the physical world with AI-driven workflows that can respond to business changes in real-time.  Data from production and supply chain activities is collected in real-time, processed by AI algorithms especially engineered for these us cases, and use to pride a high-speed, closed-loop, adaptation behavior.

LinqThingz closes the gap between Technology Change and Business productivity.  We do this by leveraging well know gaps in supply chain or production process and then build special neural networks that best characterize and have the ability learn and make improvements to these processes.

Connectivity of the physical world and Digital Transformation of this information facilitates integration to other enterprise functions like Vendor Management of Inventory, Visibility Throughout the Supply Chain, Real-Time Enterprise Resource Functionality,  Direct Sales Force and Customer Transparency and Integration to custom workflow developed in AWS, Azure, IBM, Salesforce, SAP, IBM and more…


One example of our Digital Industrial Assistant is the BOMLinq.  (BOM = Bill Of Materials).

see more about the BOMLinq.