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AI (Artificial Intelligence) technologies are being developed daily and applied to almost every industry. From customer-facing businesses to financial institutions, robotic applications, and medical research, AI is helping improve customers' lives, automate industry processes and sharpen performance across sectors that require human intelligence.

According to the International Data Corporation (IDC) report, the AI industry is growing rapidly, with the software, hardware, and AI service market forecast to grow at a CAGR of 16.4%. AI jobs are the latest in the IT job market, with the potential for high salaries, work satisfaction, and senior positions.

As a student in computer science or an IT practitioner, if you want to launch a career in computer technology in a rapidly growing field, learning AI may be the perfect opportunity. Register for the Artificial Intelligence Course by Simplilearn to develop your skills in a technology disrupting most industries and watch your career grow.

An introduction to AI

AI is a computing concept that enables computer systems to think and solve complex problems like humans. Machines can act like humans, simulating human intelligence to perform speech recognition, decision-making, language translations, and visual recognition. AI is the theory and development of computer systems to perform these human tasks and solve real-world problems. Thus, AI also refers to software technologies that make a computer or robot act like a human, working on problems, making mistakes, and learning on their own as self-improvement.

As AI has an automated underpinning, there are lesser errors, more accuracy, and a 24/7 performance 365 days a year, without holidays or breaks.

Why AI is relevant today

In most advanced economies, AI has become almost a way of life, as it has entered workplaces and daily lives in a big way. It is a major factor driving competitive advantage, and companies are implementing AI as a part of their business transformation. Businesses are investing in AI in a big way as AI technology is emerging as an important part of an organization’s strategy and digital disruption.

AI isn’t just a single computer program or application but an entire discipline and science. The goal of AI science is to build a computer system capable of modeling human behavior to use human-like thinking processes to solve complex problems.

AI is transforming and revolutionizing daily lives. We encounter AI applications every moment, from internet search results to digital assistants, movie recommendations, and driverless cars. It is making lives easier with its intuitive element and penetrating deeper into our lives. Examples of applications are ad suggestions based on user behavior, algorithmic trading, financial advisory services, virtual nurse bots, personal healthcare assistance, and speech and handwriting recognition. AI has become all-pervasive with use cases across industries. It has greatly impacted the quality of life and helped businesses transform for a business edge. We cannot imagine a world without AI. In fact, as its applications increase, AI is all set to bring a revolution in every aspect of science and research.

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AI solves problems, answers questions, makes predictions and strategic suggestions, or performs intuitive tasks. Because AI can do all this, it is extremely valuable to modern businesses and organizations.

How AI works

AI works by combining large sets of data with fast, intelligent, iterative processing algorithms, allowing the software to learn automatically from patterns and features in the data. When AI systems process data, they test and measure performance to improve further. It can run through millions of tasks simultaneously at great speeds while learning simultaneously and developing expertise in whatever it is trained to achieve. As they function on the levels of human intelligence, AI systems use many technologies, techniques, and processes for the end outcomes.

For instance, AI uses machine learning to mimic human intelligence. The computer system learns how to respond to specified actions and uses algorithms to create a model to make predictions.

Most importantly, AI is used to save time and achieve efficiencies. Like email automation or chatbot interactions allow doing work manually by humans.

Marketers use AI by bringing in a human element. For instance, AI chatbots aim to enhance the customer experience of the website visitor or app user. Chatbots handle customer queries with an intuitive interface. However, for applications such as ads and recommendations, the algorithms factor in historical data and user behavior. Ads are shown to targeted consumers depending upon the user pattern. Search results are also based on AI implementation that determines the customer's wants. The software automatically learns from patterns in the data.

AI uses plenty of data called training data. AI algorithms are trained with large datasets to identify patterns, make predictions and recommendations, simulate human intelligence, and make it faster and even better. It uses massive computing power to achieve the desired outcomes.

Conclusion

The growth of AI has been phenomenal in recent times. Already most automated tasks are performed only with AI technology. In the future, the power and impact of AI will be greater. Thus AI is a growing technology with plenty of learning. As its applications increase and the world adapts to this technology, it becomes necessary to acquire AI skills. As AI endeavors to make the world and industry a better place, it is all set to revolutionize how people think and work.

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With a growing number of companies leveraging AI and utilizing the huge amount of data generated, it creates more opportunities and jobs across the board. And mastering AI skills helps you pursue a career in AI that promises you unlimited potential. With AI set to replace white-collar and blue-collar jobs, it will create a new world of opportunities.

Still wondering why to learn AI?