Artificial Intelligence is probably the most intriguing topic of discussion in the tech world. AI is no longer a futuristic concept; it has entered our current society and shaping our professional and personal lives. Voice Assistants like Alexa and Siri, surgical bots, automated email categorization, are well-known examples of AI penetrating our daily lives.
AI is gradually finding its application in nearly every industry and sector. According to Statista, the global AI software market is forecast to expand at a rate of about 54% annually. The advancements in AI technology will lead to an increase in productivity and more frequent innovations and analytics. In this article, we’ll understand how AI works and how it is taking the fourth industrial revolution forward.
There Is No AI without Data
Artificial Intelligence and data are inseparable. AI needs data to study from, act on, and learn to do better with experience. It is this part, learning from experience, that’s where AI is different from simple coding. That’s why it’s called artificial ‘intelligence’ because, unlike traditional coding, humans don’t need to write and modify a set of programs in AI-based applications. Instead, AI has algorithms to help them learn on their own.Â
Artificial intelligence is defined as the capacity of machines to think like human brains. So, what helps AI mimic human intelligence?
The Artificial Neural Network
Artificial Neural Network, or ANN, is the foundation of Artificial Intelligence technology. It is a network of ‘nodes’ similar to the ‘neurons’ network in our brains. This network helps the computer analyze data and processes in the same manner as a human brain would, but much faster. It enables AI to learn from past models and solve problems that would be too complex for humans or statistical methods to solve.
Artificial Neural Network is what allows AI to think on its own. Give them more data, and they’ll produce more accurate results every time. Computer scientists and engineers are using big datasets to train AI algorithms. These datasets enable AI to recognize patterns, make predictions, and suggest behaviors in the same way that humans can, only quicker and easier.
Numerous Applications of Artificial Intelligence in Industrial Revolution 4.0
We are witnessing the fourth industrial revolution in history. AI, the internet of things, blockchain technology, etc., are all part of industrial revolution 4.0. AI has advanced considerably in recent years, and it now has applications in nearly every business domain. Let’s enumerate a few important applications of AI technology in industries today.
AI in Ecommerce
Ecommerce (a subset of the retail industry) is one of the first industries to adopt artificial intelligence, and it has reaped tremendous benefits. AI-based solutions have helped e-commerce to serve and delight its consumers in unprecedented ways.
Now, consumers can click photographs of apparel from a magazine, and an algorithm will find a matching result for them. AI also enhances user experience with features like personalized suggestions and preference-based browsing.
AI in Auto Industry
Self-driving cars have been a long-pending goal of the tech and automobile industry. Numerous industries are currently working on self-driving cars that can make your journey safer and more comfortable. However, AI has already started taking control of the vehicle without getting on the wheel.
There are numerous applications of AI in auto industries currently into play. Smart virtual assistants, like TeslaBot, are providing a relaxed driving experience in Tesla cars. For improved driving, automotive companies employ AI in conjunction with radar, cloud data, control signals, cameras, and GPS. Many new applications, such as blind-spot tracking, driver-assist steering, and emergency braking, are ushering the automobile industry into a new age.
Engineers are now using AI to promote smart mobility. They are implementing artificial intelligence technologies to improve traffic safety, provide more efficient auto-driving, and provide intelligent recommendations to drivers.
AI in Agriculture
AI has a major role to play in driving an agricultural revolution and meet the rising food demand. It can augment farmers with better and faster analytics, automation, and self-learning robotics.
AI will study plant patterns, pest attack patterns, and chemical spraying patterns, among other things, to assist farmers in making informed decisions. AI applications are also assisting farmers in increasing the nutritional value of their crops, ensuring safe farming, and reducing water use.
AI in Healthcare
Perhaps the most beneficial use of Artificial Intelligence will be in the medical field. Robotic surgery is the future as it can help to increase accuracy. Scientists are also working on building AI models to predict future pandemics.
AI’s ability to crunch numbers quickly and learn from historical data is the reason for its rapid adaptability in the healthcare sector. Using these abilities, AI can help discover new medications. AI can also help investigate chronic ailments using medical data to ensure early diagnosis.
AI in Gaming
The gaming industry is another area where Artificial Intelligence has gained popularity. Game engineers are using AI to create human-like non-player characters to make video games more exciting and challenging. The neural network of the game is letting it learn how the human players won last time. The game learns from its mistakes and does not replicate them. It compels the players to change their strategies each time.
Industries can use AI technology in video games to create advanced simulations for combat exercises. Designers and engineers can use AI and virtual reality to build real-world environments for training soldiers.
AI in Customer Care
Well-managed customer service can do wonders for your brand. It helps to solve customer issues, deescalate grievances, improves the brand image, and assists PR and marketing. Gradually, chatbots are replacing human agents in the customer service industry.Â
Advanced chatbots are not just an automatic response system. They are capable of extracting data from the website and presenting it to you upon request. However, they must learn to respond to natural human language. Using NLP (Natural Language Processing) and constantly learning from data let these bots evolve into better customer agents.
AI in Surveillance
Traditional surveillance using conventional human monitoring rooms is getting old now. There is a limitation on how much visual data a few humans can process, especially when surveilling a large area with multiple cameras operating 24X7. Plus, there are always chances of human error in recognizing people.
Many companies are creating AI-based systems that they can train in supervising duties. These AI software learn facial identification, security algorithms, and much more from historical data. They can help detect intruders, unknown individuals, suspicious actors, and potential threats through several screens at once. The use of AI in surveillance is still in its nascent stage, but computers learn fast.
Conclusion
AI has come a long way from the fevered imagination of science fiction authors. Thanks to AI technology, we can now communicate with virtual assistants, get personalized user experiences on apps, and plenty more. AI is spearheading innovations in the fourth industrial revolution, where applications will not even require human presence to learn, analyze, act, evolve, and deliver.
The social and economic benefits of AI are enormous. Artificial intelligence can add significant value to various industries globally. Companies are expecting artificial intelligence to be a primary source of strategic advantage for their business. Developers in the best application design and development company are engaging machine learning and artificial intelligence to revolutionize the way digital products transform human lives.
