Use Case

Monitoring, IOT & Telemetry

Problem Statement

  • Environmental conditions at Mining operations change constantly. The decision to stop extraction operations because of weather is important and expensive. Our client operates 500 and 320 ton excavators loading waste onto 100 and 190 ton capacity trucks. The more units working the higher the cost and risk to a shutdown decision. The precision of making decisions by mining staff was less than 60% thereby requiring Senior directors to be available 100% of the time to ensure better decision making.

Radar Solution

  • A Sue model was built to receive weather conditions and operational metrics and trained to recommend closing or continuation decisions.

Success and Improvements

  • 100% Accuracy with decisions to close mining operations. Freeing up senior management to focus on other tasks.

Implementation Timeline

  • 1 hour to build Sue model and after testing is now used 24/7

Radar Similar Possible Use Cases

Mining, production monitoring, industrial processing, high-precision farming, engine monitoring.

More Use Cases

Monitoring IOT/Telemetry

Sue can convert any telemetry from a reactive rule base to a predictive model that will avoid unplanned stoppages and nip problems before they become critical. Sue is the ideal AI for IOT. With the vast amounts of telemetry being generated by IOT, there are not enough experts and engineers to read it all. Sue can read every telemetry reading and email / autocall /  refertohuman when action is needed. IOT, Mining, High Precision Farming, Telcoms, Vehicle Monitoring

See IOT Use Case
See Vehicle Telemetry Use Case

Automatic Renewals

Sue can approve renewal of risks and bills risks within fuzzy thresholds. Underwriting, Utility Bills

Data Enhancement

Sue can predict missing data points in a set using the other data.

See Use Case

Auditing

In any transactional environment, Sue can read every single transaction and flag outliers and exceptions for human review including fraud, money laundering or pricing. Sue is able to imitate an expert that reads a page of transactions and spots the fraudulent one. Except that Sue can read ALL the transactions in a large organization and never needs sleep. Telecoms, Banking, Finance, Triage of Insurance Claims

See Use Case

Call Centres Next Best Move

Sue can recommend the next best move based on what is put in on each screen, standardizing service and optimizing flows.

See Use Case

Medical

Sue can learn any individual decision in the medical field and replicate it

See Use Case

Trading

Sue is being used to analyse specific metrics, economic indicators, weighted risk parameters and soft input to take shareholding decisions ending in Buy/Hold/Sell. Transaction Pricing, Shares, Currency Trading, BlockChain Smart Contracts, Actutarial Pricing Methodology, Fitment of Statistical curves, Reserve Forecasting

See BlockChain Use Case
See Share Trading Use Case

Cyber Risk

Sue can act as a help desk able to run set scripts 24/7 anywhere in the world, detect data breaches and protect database by running scripts and smart approving every db/os action

Targeted Marketing

You don’t need Cambridge Analytica to target advertisements or profile clients. With a few pieces of information Sue can segment your whole population and send each person the right message. Investment, Retail Deals, Politics

Onboarding Questionnaires

Most AI engines need 80 pieces of information to fire, leading to client fatigue. Sue can give an initial approval after as few as 3 parameters. Credit cards, Employee applications

See Use Case

Application Selections

Unlike humans, Sue can review every single item offered and give an initial unbiased opinion Underwriting, Risk Selection, Recruitment Selection, Holiday Authorizations, Exploration Predictions

Staff Predictors

Sue can read the psychometric results of a candidate and give you the probability of success in a division based on the results and performance assessments of other candidates.