Leading Ghanaian ecommerce company, Hubtel, has unveiled its first Artificial Intelligence (AI) Lab, becoming the first company to launch an AI lab in Ghana.
The Lab is expected to help reshape user engagement, strengthen security measures, and stimulate economic growth through innovative AI solutions.
Head of Engineering at Hubtel, Augustine Gyawu Adjei, spoke on the company’s commitment to using AI technology to enhance user experience and drive sustainable growth. He stated, “Hubtel’s vision is to become Africa’s most useful company. The AI Lab represents a significant step towards achieving this vision by harnessing the transformative potential of AI.”
The Hubtel AI Lab will focus particularly on machine learning, with a strategic emphasis on enhancing user engagement, strengthening security measures, and improving revenue generation. Adjei outlined the specific objectives, stating, “by intuitively recommending relevant products and services, the AI Lab aims to increase user interaction with Hubtel’s apps and services.”
Additionally, the Lab will enhance fraud detection capabilities to protect both Hubtel and its clients from financial losses, while aiming to expand Hubtel’s reach and provide financial services to a wider population.
Looking towards the future, Hubtel envisions its AI Lab as a centre of excellence in AI, not only within the company but across Africa. The CEO, Alex Bram, was enthused about the potential of AI opportunities for the company. He noted that, Hubtel’s “AI Lab isn’t just about cool tech, it’s about delivering real value to the users on Hubtel.”
Bram also stressed the transformative impact AI could have, from safeguarding finances with smarter fraud detection to unlocking new financial opportunities for individuals through accurate creditworthiness assessments.
Hubtel has set short-term goals for the lab, including deploying a revolutionised fraud detection engine by the end of Q1 2024 and establishing a creditworthiness assessment solution by Q2. Progress will be monitored through key metrics such as user engagement, fraud reduction rates, and the accuracy of creditworthiness assessments.
