Predictive Analytics Platform

Deliver the most accurate predictive behavior data for every asset & process

Predictive Objects is a predictive analytics software platform based on Artificial Intelligence and Meta Active Machine Learning
that packages intelligence with every asset & process and optimizes business processes.

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Automating Prescriptive Analytics

Predictive Objects improves the outcome of business and industrial processes through actionable customer and asset
intelligence. The platform leverages machine learning and big data to automate the creation and deployment of predictive models,
augmenting human experts for faster and more accurate predictions that run where the data is produced and where
decisions need to be made.

Predictive Objects can be deployed and run anywhere: inside connected objects or machines, at the edge of the network,
in industrial IoT platforms, in public or private clouds - bringing the decision model to the object and to the data.

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Data Acquisition

Predictive Objects removes the data selection bias by providing access to all
data available within the organization - internal or external. This enables Predictive Objects
to process the entire Gaussian distribution of data, and detect weak signals that would
otherwise be ignored. The process is greatly accelerated through massive automation,
shortening projects from months to hours

Data
Ingestion

Ingest any structured data of any type, internal or exogenous data (open data, web), as batches and/or streams.

Data
Preparation

Check and cleanse all data, homogenize and normalize sources, verify integrity.

Data
Anonymization

Anonymize data before processing through record transposition for maximum protection.

Feature Engineering

Automation

Raw data produced by sensors or other assets are not directly usable by machine learning algorithms. Predictive Objects automates or facilitates the preparation of the datasets, and augments data with information that will make predictions more valuable for the business.

Data
sequencing

Turn raw data into temporal sequences of information based on the data type and density.

Business
Oriented Tagging

Add business-related information to the existing data: asset identification and classification, cost or revenue information.

Objective Functions Tailored for Business

Predictive models that do not account for business objectives are difficult to use by business users,
and model selection can be severely impacted. Predictive Objects lets the business expert define
a cost matrix that targets operational costs or gains, and computes the business value of each model.

Fail Fast, Learn Fast

Deployment to production of predictive models is immediate
to any targeted asset: object, device, platform, cloud.
There is no need for coding, dramatically shortening
the time it takes for projects to deliver value.

Compressed time-to-convergence

The Meta Active Machine Learning, Predictive Objects’ wisdom that is shared across projects and enriched at each model computation, dramatically accelerates the search for the best model, shortening to hours a process that used to take months of exploration by data science teams.

Iterative process

Find quickly if a model work, test hypothesis, and ensure ongoing efficiency: the performance of models is continuously assessed to test their accuracy, precision and recall. Production and deployment of new and revised models is ongoing.

Act anywhere

Predictive Objects can be deployed and run anywhere: inside connected objects or machines, at the edge of the network, in industrial IoT platforms, in public or private clouds - placing the predictive model as close as possible to the system it impacts.

Asset Intelligence & Simulation

Predictive Objects are embedded inside, or executed as close as possible to assets of any kind:

  • Material assets such as machinery, industrial equipment, production lines, vehicles, airplanes, connected objects, etc.
  • Immaterial assets such as business or industrial processes, customers, contracts, work orders, purchase histories, etc.


Performance monitoring

Thanks to their ability to get deployed and embedded on any platform, in any runtime, Predictive Objects packages intelligence with every asset, providing a combined view of the asset, its performance, and its evolution over time (predicted behavior, deviance from the model and therefore associated risk).

Explainable AI

Through the use of symbolic algorithms, models generated by Predictive Objects are driven by variables and based on a decision tree that can be visualized by business experts, explaining not only the prediction but also the impact of each variable on this prediction.

Simulation

The simulation capabilities of Predictive Objects make it possible to test "what if" scenario for each individual asset or cluster of assets. By adjusting variables, in the past, in the present or in the future, business users can visually evaluate the impact that any actions would have had, or that they will have, on the future performance of the asset.

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Interested in our Predictive Objects features, set-up, model, etc?
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