Accelerating AI Adoption: Real-World Examples with AI Singapore’s 100E

AI adoption can feel daunting. To inspire action, here are three real-world cases where strategic implementations delivered immense value, from increased revenue to improved efficiency and customer satisfaction. These proven use cases show the transformative power of AI across business functions. The 100E successes below are meant to help leaders recognize the opportunities within reach. Let them spark ideas for how AI could soon improve your own organization.

What is 100E?

The 100 Experiments (100E) programme, run by AI Singapore’s (AISG) Innovation pillar, aims to catalyze AI innovation and adoption in Singapore’s economy. It provides a platform for companies to collaborate with research institutes on applied AI projects, prototyping rapidly over 7 months toward a Minimum-Viable-Model (or Product). The goal is to quickly develop impactful AI solutions for industry-relevant challenges, and to let companies experience hands-on what AI can achieve for their business. Since launching in 2018, the programme has supported over 100 projects across various sectors.

The 100E is also the platform we use to train the apprentices in the AI Apprenticeship Programme (AIAP). See The AIAP (and 100E) Experience – AI Singapore Community.

Case 1: Sompo catches fraudulent claims with AI

Singapore-based insurer Sompo Holdings (Asia) joined the 100E programme in 2019 for its AI-powered fraudulent claims detection system.

Together with AISG’s AI Engineers and Apprentices, Sompo built a machine-learning model over 7 months that flags suspicious claims for further investigation. The model was trained on thousands of past travel and personal accident claims provided by Sompo.

The system provides 100% fraud detection coverage and has improved detection rates by 90%. Customers with approved claims now receive payouts much faster, potentially within minutes.

Sompo also saves an estimated $200k-300k annually by year 3 of deployment through reduced manual checking. Employees spend less time on manual reviews and focus on investigating complex suspicious cases instead.

After successful pilots in Singapore and Indonesia, Sompo plans to expand AI fraud detection to other markets and lines of business like motor insurance.

The project won the AI Award for general insurance from Singapore Business Review in 2020, a testament to the success of the 100E programme. It shows how insurers can use AI to improve efficiency and customer experience, and how collaboration through 100E lets companies develop impactful AI solutions quickly.

Case 2: IBM speeds up product quality checks

IBM collaborated with AI Singapore (AISG) on a 100 Experiments (100E) project in 2019 to improve product quality classification for its mainframe line. It wanted its product quality engineers to analyze performance data and identify issues early.

Previously, engineers manually analysed numerous charts and tables to spot anomalies, a tedious and time-consuming process. Working closely with the IBM team, the 100E team built a deep learning model that categorizes product risk levels from performance graph images. The model was trained on 10 years of historical data and mimics how engineers visually identify anomalies.

It classifies products as high, medium or low-risk with over 90% accuracy, and high-risk products are flagged to engineers for investigation. Engineers now focus on root causes rather than manual monitoring, and the time taken has dropped from 1 week to 1 hour.

The improved product quality engineering ultimately benefits IBM’s customers, who rely on its mainframe systems.

Case 3: EM2AI automates dental charting

Local healthcare startup EM2AI (a deep-tech spin-off from Q&M Dental) collaborated with AI Singapore (AISG) on a 100 Experiments (100E) project in 2019 to create an AI solution for automated dental charting.

Dental charting during examination is tedious and manual. EM2AI and AI Singapore developed a computer vision model that automatically detects pathology from dental X-rays and extracts key information like tooth numbering, caries and missing teeth.

AI Singapore undertook the 7-month project with AISG apprentices who helped build and refine the model. The model reduces the time dentists spend on manual charting and minimizes errors. By standardizing dental records and diagnosis, it also improves the quality of care.

As of 2023, the solution has been rolled out to over 150 dental clinics in Singapore and Malaysia.

What these projects show

Across insurance, manufacturing and healthcare, these projects show companies using AI to enhance productivity, decision-making and service quality. The collaborations between AI Singapore and Sompo, IBM and EM2AI highlight the success of the 100E programme in driving industry AI adoption, catalysing applied research and local AI talents to rapidly prototype impactful AI solutions tailored to business needs.

There is a second payoff. By using 100E as a real-world training platform for apprentices, we have trained more than 300 Singaporeans as AI Engineers. AI Singapore wins, the company wins, the apprentices win. It is a sustainable and cost-effective methodology to train AI Ready AI talents for the industry.