Artificial Intelligence/Machine Learning (AI/ML) via a Digital Twin Solution

With digitalization, numerous new types of data sources have become available that have the potential to contribute significant value to your business when analyzed properly. Some examples include Internet of Things (IoT) devices that produce a wealth of sensor data, and apps/websites that can capture  detailed clickstream data describing user behavior.

Advanced Analytical Techniques

Technological advancements have made it possible to apply advanced analytical techniques like Machine Learning (ML) on these new sources of data.  By applying AI/ML on new (and existing) types of data, new opportunities become available for deriving business value for your organization, regardless of the industry you’re in.

New types of data + New analytical techniques = New types of business value.

Digital Twin Solution

One approach that is producing significant business value is the emerging use of digital twins. A digital twin provides a digital replica of your actual physical assets, processes, people interaction, places, systems, and devices that can be used for analysis and predictive modeling. The connection between the real world entity (or system) and the digital replica is established and maintained through the generation of (real time) data. While complexity of the digital twin varies from company to company, comprehensive implementations of a digital twin solution can be as extensive as a one-to-one pairing of virtual and physical worlds. 

Data exposed via a digital twin can be combined with Artificial Intelligence and Machine Learning to create tangible business value.


Mobiquity's Practical Approach

Mobiquity focuses on looking at your business challenges and considers the available data points that capture the business problem you want to solve. We use this data to create a Machine Learning model that accurately models the business problem. This ML model is used to rapidly iterate over a large variety of optimisation scenarios to find the best possible ways to improve your business. 

In simple terms we optimise your business by leveraging the data that is already available to you.

How do we do that? Here is a simple overview of our process:


  • Working with subject matter experts we make an end-to-end description of the process that captures your business challenges.
  • We map your business problem to AI/ML space so that advanced analytics can be applied.
  • We identify necessary data sources, define and set-up a data processing architecture and perform a data assessment.
  • We then proceed to build a Machine Learning model that accurately models your business problem.
  • We use this model to quickly run a large variety of simulations for different operational scenarios. 
  • Based on these simulations we identify which ‘dials’ we need to adjust to improve your business operations.
  • Following the adjustments we validate the optimisation and we can iterate to find additional possibilities for optimisation.


Why work with Mobiquity on a digital twin solution? 

Our practical approach allows you to accelerate business value. We do this by integrating data science with subject matter expertise to generate a holistic view of your business operations. We take an outside-in approach, not limited and biased by existing knowledge or experience. 

We have developed a standardized platform agnostic code library that enables us to accelerate value creation from machine learning.

We are also problem solvers, focused on identifying and analyzing the necessary key variable data to drive the outcomes you’re seeking 

We break work into bite-sized pieces, quickly iterating Machine Learning models and use case tests to deliver validated results quickly. 

Last but not least, we are also supplier-agnostic, focusing on client benefits only.

Some key benefits we discovered through our clients’ digital twin solution projects are: 

  • Operational efficiency improvements
  • New business value discovery
  • Optimization of Total Cost of Ownership (TCO)
  • Improved quality of risk management
  • Support for the decision-making process


Transform Your Business