What’s the difference between AI and Machine Learning?

During the recent G4s webinar, Advanced Analytics in Physical Security Operations, a common question that arose was the difference between machine learning and AI. While the two

terms are often used interchangeably, they actually refer to different technologies that are related, but distinct.

At Business Insight 3, we understand the importance of understanding these distinctions in order to provide the best possible solutions for our clients. Simply put, machine learning is a type of AI that involves training algorithms to recognize patterns in data and make predictions based on that data. Machine learning algorithms can be used in a wide range of applications, from image recognition to natural language processing.

AI, on the other hand, refers to a broad field of computer science that involves creating machines that can perform tasks that would typically require human intelligence, such as recognizing speech, making decisions, or understanding natural language. Machine learning is just one of the many technologies that falls under the umbrella of AI.

 

While there is some overlap between the two technologies, machine learning is generally considered a subfield of AI. At Business Insight 3, we leverage both machine learning and other AI technologies to develop customized solutions that meet the unique needs of our clients.

Ultimately, understanding the differences between machine learning and AI is important for developing effective solutions that leverage the latest technologies to solve complex business challenges. At Business Insight 3, we specialize in providing advanced video analytics solutions that leverage the latest in AI and machine learning technologies to help our clients improve security, increase efficiency, and reduce costs.

Take a look at the G4S webinar where this question is answered by Ed Kohut, Technical Director of Bi3…