Solution

Big Data and predictive analytics

We turn operational data into models that anticipate demand, failures, risk and optimization opportunities.

The capability

We combine data engineering, operational know-how and machine learning to take models from proof of value to recurring, measurable decisions.

01Forecasting and planning
02Predictive maintenance
03Operations optimization

Offering matrix

Seven real solutions.

Each node adapts this capability to a specific sector problem and has its own page.

DefensePredictive maintenance and sensor fusionLogisticsDemand forecasting and route optimizationTransportPredictive maintenance of rolling stockMedicine and pharmaClinical prediction and trial optimizationEnergyEnergy forecasting and predictive maintenanceIndustry and manufacturingFailure prediction and production optimization (OEE)Civil and constructionPredictive analytics for works and assets

How we build it

Stack and ecosystem.

We select tools based on data, environment, regulation and operating model.

Technologies

DatabricksSnowflakeSparkKafka / ConfluentMLflowscikit-learn / XGBoostdbtH2O.ai

Partners

Databricks ✱H2O.ai ✱Snowflake ✱DataikuAlteryx ✱

Related technologies

Target stack.

Technology Data and ML Platforms for data pipelines, experimentation, prediction and analytics at scale. View detail

From opportunity to operation

We build value in stages.

Governance and compliance accompany the whole cycle, from the first hypothesis to the system in production.

  1. 01
    Diagnosis

    Opportunity, data, feasibility and roadmap.

  2. 02
    Pilot

    Proof of value with clear business metrics.

  3. 03
    Industrialization

    Integration, security, MLOps and adoption.

  4. 04
    Operation

    Monitoring, support and continuous improvement.

Let's talk about your operation

Where can AI create value?

itfuturton@futurton.com