Enterprise Life Nigeria CEO Funmi Omo discusses the critical role of digital technologies in reshaping the insurance industry in Africa, highlighting the importance of…
Browsing: Challenges
This article discusses the increasing use of machine learning (ML) algorithms in the medical field, specifically in the subfield of heart failure (HF). While…
Data science is a fast-growing field with a high demand for skilled professionals. However, newcomers often face challenges in setting up their environments and…
This article discusses the challenges faced by the ocean shipping industry, such as lost containers, port congestion, and rising freight rates. It also highlights…
The fourth Industrial Revolution (4IR) is transforming the insurance sector through the integration of technologies like AI, RPA, and IoT. This revolution presents opportunities…
SAP is increasing its presence in the AI ecosystem by launching Joule, an AI Copilot, across its enterprise cloud apps. Joule will provide seamless…
This article discusses the importance of learning and inference in machine learning and edge AI. It explains how edge devices are more suited for…
The use of Artificial Intelligence and Machine Learning (AI/ML) is challenging traditional non-disclosure agreements (NDAs) as technology continues to evolve. NDAs must now explicitly…
The development of driverless cars has been ongoing for decades, but with the rise of AI, we are closer than ever to achieving fully…
The integration of generative AI, specifically large language models (LLMs), into software development processes presents challenges in ensuring the quality and reliability of the…