“Artificial Intelligence is going to augment the workforce; it is not going to replace humans.”
Philip Adzanoukpe is an innovative technology leader and entrepreneur, who specialises in AI and scalable software systems. He graduated from City St George’s, University of London with an MSc in Data Science (Distinction) in 2020.
Philip is the CEO and founder of Epigos AI, a company that offers AI solutions to organisations and startups to simplify their business processes and automate workflows.
With more than seven years’ experience driving impactful advancements, Philip is recognised as a visionary in AI and a role model in STEM, having made significant contributions to several organisations, including Triller Inc. and Epigos AI.
Philip explains the impact his master’s had on his career:
“The MSc Data Science gave me a deep understanding of AI fundamentals and played a pivotal role in preparing me for my current role as CEO and founder of Epigos AI.”
“The master’s combination of theoretical knowledge and hands-on practical experience was ideal for preparing students for both industry and academia. The programme challenged me to think critically and creatively, honing my problem-solving abilities. These skills have been invaluable in leading my team at Epigos AI to create cutting-edge technologies that automate business workflows through computer vision and AI.”
Epigos AI deploys its technologies and expertise to multiple sectors. Philip explains some of the uses of their AI models:
“In the agriculture sector we train models to detect crop diseases, monitor livestock health, grade and sort produce, and perform yield estimation. While in the construction industry, our AI models can be used for tasks like PPE detection, workplace hazard identification and visual inspection.”
Healthcare is another sector where AI is increasingly deployed, particularly in diagnostics.
“In the field of radiology, accuracy and efficiency are paramount. With an ever-increasing volume of medical imaging data, radiologists face the daunting task of meticulously analysing each scan, searching for subtle signs of abnormalities or pathologies.”
“Epigos AI’s platform enables healthcare professionals to develop and deploy custom computer vision models tailored to diagnose brain tumours from MRI scans with remarkable precision. Not only does this enable efficient and accurate disease detection, but it also allows radiologists to focus their attention on the scans that require immediate review, dramatically increasing their productivity and reducing the time-to-diagnosis for critical cases.”
In recognition of his achievements as an AI pioneer, Philip was named the runner-up in the 2024 Excellence in STEM Achievement Awards, given by the School of Science & Technology.
Reflecting on some of the current issues with AI, Philip says:
“There are concerns around AI models and the data sets they are trained on, and whether this data could be biased, and risk under-representing certain groups or regions.”
“Verification is also very important – if you do not have the expertise, then how are you going to verify the outputs of the AI models?”
“These unknowns mean we need to have more experts reviewing the outputs. AI is not replacing us – the human workforce will still be needed, but it is a tool to make work more efficient and deliver faster outputs.”