ServicesStage 03 · Model01 / 11

Data Science and Artificial Intelligence

Understand behaviour and anticipate outcomes

Hourly demand forecast48 h ahead · retrained weekly
80110140170200now-48 h+24 hh-47 · 99.7 MWh observedh-43 · 116.9 MWh observedh-39 · 149.2 MWh observedh-35 · 146.4 MWh observedh-31 · 112.0 MWh observedh-27 · 107.6 MWh observedh-23 · 103.1 MWh observedh-19 · 104.4 MWh observedh-15 · 157.6 MWh observedh-11 · 154.2 MWh observedh-7 · 128.3 MWh observedh-3 · 110.9 MWh observedh+1 · 101.6 MWh · 90% 94.5–108.7h+5 · 116.8 MWh · 90% 105.3–128.3h+9 · 160.5 MWh · 90% 144.6–176.4h+13 · 154.9 MWh · 90% 134.6–175.2h+17 · 123.4 MWh · 90% 98.7–148.1h+21 · 115.3 MWh · 90% 86.2–144.4
MWhh+24 · 93.6 MWh

Data science and AI

MNC Analytics develops analytical solutions that help organisations understand performance, identify emerging problems and make informed decisions. We work with business records, operational data, sensor measurements, images and technical documents to extract information relevant to a defined objective.

Our services span exploratory analysis, statistical modelling, machine learning and AI-enabled applications. We select methods according to the problem, the quality of the available data and the consequences of an incorrect prediction or recommendation.

What we offer

8

  1. 01

    Exploratory and diagnostic analytics

    Investigate patterns, relationships, anomalies and changes in performance. Examine potential causes of underperformance and identify where further evidence or experimentation is required.

  2. 02

    Predictive modelling

    Develop classification and regression models for quality, failure likelihood, process outcomes, operational risk and other clearly defined targets.

  3. 03

    Forecasting

    Model demand, workload, production, energy consumption and resource requirements, accounting for seasonality, changing conditions and uncertainty.

  4. 04

    Anomaly detection and predictive maintenance

    Identify unusual behaviour and signs of deterioration. Develop condition indicators and failure forecasts where the available evidence supports them.

  5. 05

    Computer vision

    Develop visual inspection, defect detection, object recognition, tracking and measurement applications, together with the image capture and validation requirements they depend on.

  6. 06

    Language and document analytics

    Extract, classify and organise information from reports, records, logs and technical documentation.

  7. 07

    Generative AI applications

    Develop assistants and knowledge tools grounded in approved information, with task-specific evaluation, output checks and appropriate review workflows.

  8. 08

    Model evaluation and interpretation

    Assess predictive performance, robustness, uncertainty and the factors influencing model outputs.

What this enables

Earlier identification of operational issues, more informed planning and a consistent basis for evaluating decisions. Depending on the engagement, outputs include analytical reports, trained models, prediction services, dashboards and decision-support applications.

Related work

All work
01Manufacturing and industrial operationsSpain

Predicting drive failures on a cement plant’s mills and kiln

Vibration and motor-current sensing on gearboxes and main drives, fused with process data, gave maintenance teams three to six weeks of warning before bearing and gear faults.

  • 3–6 wkwarning before confirmed faults
  • -71%unplanned drive stoppages, year on year
  • 0missed faults in the pilot year
Read more
Unplanned drive stoppage hours per quarterBeforeAfter
-50050100150200Q1Q2Q3Q4Q1 Before: 62 hoursQ2 Before: 0 hoursQ3 Before: 118 hoursQ4 Before: 41 hoursQ1 After: 18 hoursQ2 After: 0 hoursQ3 After: 0 hoursQ4 After: 46 hours
hoursQ4 · 46 hours
02Manufacturing and industrial operationsGermany

Automated visual inspection of extruded aluminium profiles

A line-scan camera station with controlled lighting and an edge inference unit now grades surface defects at full line speed, replacing sampled manual inspection.

  • 100%of production inspected, at line speed
  • -84%customer-reported surface defects
  • < 40 msinference per frame on the edge unit
Read more
Customer-reported surface defects per monthClaims
-100102030M1M2M3M4M5M6M7M8M9M10M1 Claims: 19 claimsM2 Claims: 17 claimsM3 Claims: 21 claimsM4 Claims: 16 claimsM5 Claims: 14 claimsM6 Claims: 9 claimsM7 Claims: 6 claimsM8 Claims: 4 claimsM9 Claims: 3 claimsM10 Claims: 3 claims
claimsM10 · 3 claims
Next service · 02Data Engineering and Analytical Foundations

Contact

Tell us about the problem you need to solve

You may have a defined project, an underperforming process or a technical question that needs investigation. We can help assess the challenge, identify the information required and define an appropriate next step.