Machine Learning Insight
AI model development service
With over 6 years commercial experience in developing machine learning models used by the Dept of Defence and major corporate clients, AI Insights can now offer low cost, quick to market, Machine Learning model development utilizing the Microsoft Azure Machine Learning framework.
Machine Learning (ML) Insight covers the full range of AI modelling from Deep Neural Networks, for identifying and predicting outcomes, to Reinforcement Learning models that self-learn in constantly changing environments. ML Insights automatically selects the best algorithm from the model gallery to ensure high accuracy for your specific scenario: business incidents, monitoring IoT device traffic, managing fraud, responding to changing markets, and more.
ML Insights utilise the ONNX containerize deployment technology that allows easy seamless integration to new or existing production environment.
What Machine Learning can do for you
- Predicting sales volume or values
- Automate Document Classification/Taxonomy
- Fraud Detection
- Predict Equipment/Part Failure rate
- Inventory Optimisation
- Demand Forecasting/Price Optimization
- Identify Customer/Product Churn
- Anomaly Detection
- Risk Identification & scoring
- Scenario Analysis
- Data Mining & aggregation
- Image Recognition
Built in Data Scientist
Hiring data scientists or ML experts isn’t easy or cheap. With machine learning-as-a-service (MLaaS) you don’t necessarily need to. Understanding your business is more important and you have that. We do the data cleaning, wrangling & transformations needed.
Rapid Deployment
You tell us the goal, we pick the algorithm and develop the model, you test it and experiment, then we generate a standalone container you can integrate into your live systems, from the cloud or download to your network. Start reaping rewards in weeks not months.
Decision aid not replacement
Machine Learning shouldn't be a black-box result. We not only use ML to predict an outcome but also to analyse your data to identify which factors are the driving forces and how altering them can change outcomes. This insight in invaluable.
Solutions that evolve with business
AI will change your business. As such, your models need to evolve with you. We offer an on-going support service to monitor and adapt your models to keep pace with your changing business environment.
And now for the technical stuff
In the end Machine Learning is a branch of advanced mathematics. We know it so you don't have to, but for those looking to fill an internal shortage of AI expertise, here are our specific areas of expertise:
Deep Neural Networks (DNN)
At the heart of Machine Learning are Deep Neural Networks, that use a reiterative process of optimising an algorithm to achieve the best outcome. Mainly used to classify events/objects or predict values or volumes.
Convolutional Neural Networks (CNN)
Use heavily in image recognition, CNNs scan an image, text, or video for matching items from a predefined reference library. This same technique is also useful for analysing streaming data for time-series monitoring to detect failing components or detecting anomalies.
Random Forests (RF)
Random Forests is the most common machine learning technique for decision making (advice) models. They build multiple decision trees (decision options) and merges them together to get a more accurate and stable outcome prediction. Used heavily in predicting future behaviour, fraud & buying patterns.
Deep Reinforcement Learning (DRL)
Deep Reinforcement Learning is at the leading edge of modern AI. Unlike standard ML, where models are trained on historical data, DRL is a self-learning technology where it learns from millions of trial experiences. This is the basis of self driving cars but can be applied to any area of real-world problem solving.