Artificial Intelligence (AI) is defined as a form of intelligence exhibited by a non-living being (commonly machines, robots, and software), which has various applications today.
AI is usually developed to enable its non-living counterpart to perform and manage tasks in various fields such as healthcare, e-commerce, and even manufacturing. The ability for AI to continuously learn and improve also provides room for continuous improvement without the need for investing in “physical upgrades”.
Let us look at how AI is utilised across various fields.
1. Search engines
Prior to the development of AI, searching for a product on an online store without knowing its exact name can be a hassle. However, it is now possible to be provided various relevant results related to the keyword used to search the product – through search engines.
The same scenario can be said when Googling for something. In a matter of seconds, you can get a list of all relevant items and even have the search engine suggest relevant keywords for more accurate results.
The AI used in this area collects data through your commonly used terms and browsing trends to continuously suggest relevant content, products, and advertisements. This is how you are almost always suggested movies/TV shows that are relatable to you on Netflix.
2. Fraud detection
AI can also be used to enhance security across several business areas, especially in the finance sector. AI-based solutions can be programmed to trace and track card usage, and endpoint access, enabling security specialists to be more effective in fraud prevention cases.
The tracing and tracking processes are heavily relied upon in other sectors including retail, to analyse the behaviors of consumers through their transaction patterns.
3. Virtual assistance
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AI’s ability to continuously learn new things allows it to act as a virtual assistance, enhancing user experience. A plethora of virtual assistance programs have been developed and are being used daily such as Apple’s Siri, Google’s Google Assistant, and Amazon’s Alexa.
They utilise speech recognition and natural language processing (NLP) to perform a wide range of tasks on your command – ranging from forecasting the weather to organizing your meetings for the day.
Virtual assistance is also heavily used in customer service through chatbots. Chatbots are designed to respond to customers without human intervention through data analytics, transforming raw data into meaningful conversations. With this, customers can get instant, automated replies while business owners can enhance customer-to-business interaction.
4. Social media
According to We Are Social’s Digital In 2020 report, the number of social media users has passed the 3.8 billion mark. With that number in mind, imagine the amount of data through chats, tweets, posts, and so on are being generated every second, and wherever there is data, there will be the intervention of AI and Machine Learning.
To enhance interaction amongst users on social media platforms, AI is used for photo tagging features - to detect facial features and recommend friends to tag in a photo. Moreover, Machine Learning algorithms are used to track your browsing trends and patterns to ensure you receive close-knit contents, including advertisements.
Twitter, on the other hand, utilises AI and NLP to identify and filter unsafe content in tweets.
5. Autonomous vehicles
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The development of autonomous vehicles (AVs) heavily relies on AI as it serves as the brain of the AV, taking over all functions that are usually executed by the driver. This means the performance of the AI should be failproof with capabilities to make informed decisions within milliseconds.
Other than developing AVs, AI is also used in the safety features of vehicles such as autonomous emergency braking (AEB) and electronic stability control (ESC). These features utilise sensors, radars, and lasers to take over the driver’s control in emergency situations to prevent unwanted consequences.
From a manufacturing standpoint, AI is applied through the usage of robots, especially in precision-based, highly repetitive tasks. Some robots such as collaborative robots (Cobots) can work alongside their human counterpart.
The application of AI has changed the way we approach certain areas of our jobs, making our daily tasks simpler, smarter, and easily executed. Combined with other Industry 4.0 technologies such as Big Data Analytics (BDA), Internet of Things (IoT) and cloud platforms, AI will play a major role in enhancing productivity, services and end results of various industries, while also benefiting end-users in enhancing their lifestyle towards a more digitalised, smart and interactive way of living.
*Featured image sourced from: www.kcrw.com