Corporate Programme Management
Case Studies
Simprints predicts what a baby''s fingerprints will look like when they reach adulthood through machine learning
Simprints is aiding people whose birth was not officially registered by developing a remote fingerprint scanner. The device called Vero transmits fingerprints to mobile devices via bluetooth. The system, currently in use in Western Nepal enables non-profits and governments to provide identification and verification documents around the world. Machine learning is used on neonatal prints to track babies into adulthood and predict how fingertips will change as they grow. Currently, Simprints is involved in seven projects in mostly less developed countries.
Linked use case: Predict impact of ageing
The UK government identifies welfare and state benefits fraud with artificial intelligence
The Department for Work and Pensions (DWP) have tested AI to automate claims processing and eliminate fraudulent applications within their department. The AI algorithms identify patterns in claims such as same telephone numbers or similar-looking applications. The algorithms also scour social media accounts to confirm that the stories people tell are consistent and valid. If a claim is flagged as suspicious by the system, a human investigator takes over. The employment of the technology ultimately protects taxpayers’ money and ensures that benefits are given to the people who actually need them.
Linked use case: Detect potentially fraudulent or nefarious users