If you check the world around you, What you see is chaos, kidnappings, and maimings. What our world has turned to is becoming alarming regarding security. In this episode, Segun looks at the foundational structure of all known crimes and draws a pattern that makes computer vision the technology that is caught in the middle, and why they're the perfect fit to address various security challenges.  In particular, the host looks at the applications of automatic number plate recognition and how it can help track any vehicle involved in any violent crimes or organized crime such as terrorism. The process involved in reading license number in ANPR were discussed. The host identifies mobility as a potent tool aiding crimes such as kidnapping and a system like an ANPR can bring some decorum to this and many crimes.

If you look at the world around you today you'll see that it's becoming scarier and this is due to the growing insecurity while we all can agree that there are more security lapses in Africa however, insecurity is all across the world so, in today's episode, Segun emphasizes the need to put technology and indeed computer vision in the forefront of the war against insecurity, Segun talks about computer vision and its correlation with human eyes and especially how CV can play pivotal roles in addressing varying security lapses, discusses the potential embedded in the use of machine vision technology such as the automatic plate number recognition in addressing nefarious vices such as car theft and traffic rule violations. He also discusses machine vision in construction and retail, and how it can prevent unnecessary accidents in the construction industry

In this latest episode, Segun will take you through the application of artificial intelligence in the banking system, and how it’s been used to detect credit card fraud. The numerous challenges also include the high rate of loan defaulters, and how artificial intelligence and its branches of machine learning and deep learning could be deployed to address them. Anyone anywhere especially in Nigeria and other African countries now gets unsolicited calls from fintech as a result of the refusal of someone in their contact list to pay back a loan collected;  He looked at this trend and advise innovative ways to checkmate it.

Online loan lenders have got quite a lot of their funds trapped outside without any way to get it back so this episode explains how artificial intelligence can help. And for students and researchers even though the focus of this episode is ai in the banking system, the host discusses why a certain amount of dataset must be set aside for validation when building a deep-learning model.

 In this episode, Segun focuses on the pressing challenges in real estate in Africa, and how artificial intelligence can help address them, he also looks at some ai models that could be developed for some of the issues investors are currently facing in real estate, the type of data to be collected and how these ai models will operate in such a way that the problem identified would be solved. This new episode also covers the concept of artificial intelligence, machine learning, and deep learning, which are sometimes mistaken to be the same, especially by newbies in the field; he looks at some questions that form the basis for the development of machine learning. 

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In this maiden episode of Applying AI: The AI in Africa Podcast - Segun shared his experiences in artificial intelligence and took a swipe into Africa's tech ecosystem and why we're where we are with technology also, he shared what he hopes to achieve as host of this podcast.