Written by Ikechukwu Kenneth In recent years, businesses have been relying on automation to streamline their operations, increase efficiency, and reduce costs. However, as technology continues to evolve, we are now witnessing the convergence of various automation technologies, giving rise to a new paradigm of automation called hyper-automation. Hyper-Automation combines artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to create a more efficient and effective automation framework. AI and ML are technologies that enable machines to learn and improve from experience without being explicitly programmed. They allow machines to recognize patterns, learn from data, and make predictions. RPA, on the other hand, is a software technology that automates repetitive, rules-based tasks. It works by automating the interactions between different software applications or systems. Also read: The Future Of Cybersecurity Hyper-Automation is the convergence of these...

Written by Ifeoluwa Oni Artificial Intelligence (AI) and Machine Learning (ML) are two of the most fascinating and rapidly evolving fields in the technology sector today.  The way we work, live, and interact with the world around us is changing as a result of these technologies. Although they are not the same item, these names are frequently used synonymously. While ML is a subset of AI that focuses on enabling machines to learn from data and improve their performance without being explicitly programmed, AI refers to the building of intelligent machines that work and behave like humans. We'll delve deeper into AI and ML in this blog article and examine its uses, advantages, and difficulties. Artificial Intelligence (AI) The ability of machines to carry out tasks that ordinarily require human intelligence, such as detecting, reasoning, learning, and decision-making, is known as artificial intelligence (AI). Three categories of AI exist super AI, general or strong AI and narrow or w...