African sectors stand to gain significantly from closing the adoption gap for generative artificial intelligence, according to a data scientist.
Dr. Roselyn Isimeto, a lecturer at the University of Lagos, recently highlighted the revolutionary potential of Gen AI for the continent’s enterprises during her speech at the Deep Learning IndabaX Nigeria 2024 conference in Abuja.
In a statement, she said, “Adopting Gen AI can help African companies leverage this cutting-edge technology to drive profitability and innovation.”
Artificial intelligence systems that are educated on data and can produce original content are referred to as generative AI systems.
Making text, pictures, music, movies, and other media can fall under this category. Generative AI creates fresh, unique outputs as opposed to traditional AI, which usually analyses or classes data.
The UN Sustainable Development Goals were endorsed in 2015 with the aim of promoting world peace and prosperity. The university speaker emphasised the role that Gen AI will play in accomplishing these goals.
Continuing, she emphasised that developing those data-driven applications required data because it is the innovation’s fuel and that there was still a deficiency of appropriate Gen AI skill sets and local datasets. “No data, no innovation,” she declared.
Through the digital news, Isimeto listed many industries that could profit from Gen AI, such as marketing and advertising for personalised marketing copy and content creation, customer service for conversational agents and sentiment analysis, and finance and banking for fraud detection and document generation.
Gen AI has applications in medicine that include drug discovery, treatment planning, medical diagnostics, and improved patient care and support.
While the education sector could gain from individualised learning experiences and empowered educators, the media and entertainment industries could use it for image enhancement and music and video development.
The data scientist mentioned that manufacturing, retail, energy, agriculture, legal, real estate, human resources, and fashion are among other industries that stand to benefit from artificial intelligence.
In a similar vein, Isimeto provided a case study of developing an application for the Large Language Model, highlighting the multiple phases required. “From understanding your requirements to deploying the application.”
“By following the steps, you can build a robust LLM application tailored to your specific needs,” she noted.
In order to teach attendees how to begin developing Gen AI applications, Isimeto also conducted a hands-on demo. Isimeto said that in order to bridge the adoption gap, companies think about introducing new ideas into their business models, services, products, marketing strategies, and business processes.
