RAX / Engineering servicesDiscipline 04 / 06

ArtificialIntelligenceSolutions

Machine learning, computer vision and language processing for defined operational tasks. Explore predictive analytics, automation and edge deployment against the data and constraints you actually have.

Discuss your AI use case Applied AI capabilities
Concept illustration of a machine vision lens and an edge computing module
Models · Vision · Edge AIConcept illustration
Rax Tech International / ChennaiData. Evaluation. Edge deployment.

01 / Applied AI capabilities

From data and signals
to useful decisions.

01

Learn.

Evaluate patterns in your data.

Machine learning integration and predictive analytics for a defined operational question, evaluated against representative data.

  • Machine Learning Integration
  • Predictive Analytics
02

Perceive.

Work with images and language.

Computer vision and natural language processing for tasks such as interpreting images or extracting information from text.

  • Computer Vision Solutions
  • Natural Language Processing
03

Automate.

Connect models to operations.

AI-powered automation and edge implementation, with device resources, response time and connectivity considered in the deployment scope.

  • AI-powered Automation
  • Edge AI Implementation

02 / Evaluating an AI use case

Start with the task.
Measure the result.

  1. 01

    Set the success criteria

    Define the prediction, detection or language task. Agree what a useful result looks like and which errors would make it unsuitable.

  2. 02

    Review the data

    Examine representative inputs, labels and gaps. Discuss privacy, operating conditions and whether processing belongs at the edge or elsewhere in the system.

  3. 03

    Evaluate an approach

    Compare outputs with the agreed criteria using representative examples. Examine missed detections, false alerts and uncertain results before automating decisions.

  4. 04

    Integrate and observe

    Connect the chosen approach to the workflow or edge device. Plan how people review outputs and how changing inputs or performance will be monitored.

03 / Assess the use case

What should AI
help you detect or decide?

Describe the task, available data and consequence of an incorrect result. Tell us whether it involves images, text or sensor readings, and any device, latency or connectivity constraints.

Review your AI use case Explore IoT products

Continue exploring

Put the model
to work.