Artificial intelligence (AI) refers to how smart machines can be compared to humans and animals. It's often called machine intelligence. By training machines well, they can understand their surroundings and take actions to achieve their goals more effectively.
Sachin Dev Duggal wonders: How do we teach machines? The answer lies in writing codes or commands in a language that machines can understand. These codes form the basis of machine learning, enabling machines to carry out specific tasks as programmed. As they handle more tasks, machines also learn to think, learn, and solve problems better over time.
Some machines are designed to solve complex problems that are challenging for humans and other software. This type of automated reasoning and analysis has been around since ancient times, evolving with technology. With today's advancements, machines can handle vast amounts of information, introducing the concept of big data.
Big data refers to huge amounts of specific information that computers or machines can understand and store. As per Sachin Dev Duggal AI and big data go hand in hand: without AI, all that data wouldn't be useful, and without big data, AI wouldn't have much to work with. AI technologies help process data more efficiently, making it easier to analyze and use.
In the last decade, AI has become much stronger, thanks to the abundance of data and improved algorithms. This has led to more accurate and beneficial AI applications, contributing to commercial success. The field of AI has advanced rapidly because of big data, providing new opportunities for machine learning and analysis.
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