Quad Digital Twin
Quad Digital Twin is a complete AI driven application for your enterprise. Use the Digital Twin from the corner office or the shop floor, from the design center or while at your client's site. It can connect you with every metric in the company.
It comes with :
- Microsegment data model
- Enterprise Generative Pre-Trained Deep Learning AI engine
- Scenario analysis capabilities
- Innovative BI front ends and dashboards
Manufacturing companies can use it know where and how their assets are performing in the manufacturing process. They can look at Quality metrics, cost of manufacture, vendor rates, supply chain and transportation metrics or retail oriented customer demand metrics. All of this is available as one integrated solution within the Digital Twin.
MICROSEGMENT DATA MODEL
Quad has designed a data fabric comprised of Intelligent data elements called Microsegments - fundamental building blocks of organizations. Microsegments are expressly designed for understanding the DNA of your company. and optimizing your entire value chain end-to-end. So this is the key differentiator of Quad - our Tensor Data Model we call the Microsegment. We have spent 7 years fine tuning this. Our Mesh of Microsegments make up the Modern Data Fabric.
The Microsegment data model is critical for enabling enterprise-wide deep learning models. They span functions and processes and hold data dimensions and metrics across the entire eco-system. They facilitate the simultaneous consumption of all data that the enterprise and its eco-system generates, something that is critical for Transformer models inside the Deep Learning GPT framework.
The Microsegment data model and the Quad data fabric are available to deploy in any industry - Airlines, Healthcare, Manufacturing, Automotive, Supply Chain, CPG, Retail, Food, Hi-tech or Finance.
Quad Data Fabric of Microsegments
ENTERPRISE GPT ENGINE
Quad's Enterprise GPT AI Engine (Quad GPT) is designed to work on the common structured data found in corporations similar to LLMs which work on unstructured data like text, video, audio, images. The Unique feature of Quad GPT is its ability to understand the full context of the corporation's state and execution , driving a unified view of the forecast and optimization outputs. A single model which is comprised of many sub models, drives the forecast of 100s of metrics simultaneously. Because the same model generates forecast of all the metrics based on a common large dataset , it is able to answer any question that may pertain to any aspect of the enterprise. This is in sharp contrast to the state of the art today in enterprises which have 100s of pipelines that separately and independently produce forecasts of 100 of metrics. The result is those models rarely agree with each other on any metrics forecast, resulting in silos of truth which are not the same across the silos.
Quad GPT is available to deploy in any industry - Airlines, Healthcare, Manufacturing, Automotive, Supply Chain, CPG, Retail, Food, Hi-tech or Finance.
Quad Enterprise GPT
Scenario analysis
Quad Scenario Analysis takes you from current state to optimal state. It has the intelligence to show you - at any level of the organization - the current state of the metrics and drivers and the optimal state of the same. This is understood by analyzing the DNA of the organization and the context of the changing environment around it. Once that understanding is completed ( by the GPT engine) the movement to optimal uniformly in local and global context is known. The Scenario Analysis tool of Quad then is simply like a board game. Move the levers that move the results and its played out. Behind the scenes, each scenario is evaluated and weighted with its probability of being within the whole context of the organization and its eco-system environment. The output is a probability-adjusted display of scenarios, with the optimal scenario being the most valuable to the user.
The Quad Scenario Analysis tool is available to deploy in any industry - Airlines, Healthcare, Manufacturing, Automotive, Supply Chain, CPG, Retail, Food, Hi-tech or Finance.
Risk Adjusted Scenarios. Monte Carlo Simulation