In today’s context, the market for artificial intelligence (AI) technologies is flourishing. Apart from the hype and heightened media attention, and the numerous internet giants and startups racing to acquire AI technologies, there is a significant increase in adoption and investment by companies. In this article, we will talk about what the term ‘artificial intelligence‘ means and the top 10 artificial intelligence technologies that are taking the world by storm.
Understanding Artificial Intelligence
Artificial intelligence deals with using computers to understand human intelligence, and it is the science and engineering of making intelligent machines, especially intelligent computer programs. It refers to adding human capabilities into machines. AI initiates problem-solving, common sense, and analytical reasoning power in machines. Put simply, AI involves making computer programs that imitate human behavior.
The Best AI Technologies that Rock the World
Let us now look at the comprehensive list of popular AI technologies.
1. Smart Devices
These are becoming increasingly popular nowadays. Technologies that people were using in the past years are now being remodelled, modified, and released as smart devices. Some perfect examples of smart devices are:
- Smart security cameras.
- Smart speakers.
- Smart Keychains.
These devices will interact with users and other devices through sensors, artificial intelligence, and different wireless connections. These devices pick up on the environment and respond to changes based on their programming and function. These are likely to increase and improve in the future.
2. Self-driving cars
These cars have the ability to drive themselves independently. This is made possible because sensors are merged, and AI technology is used. This form of artificial intelligence will help reduce collisions and reduce the burden on drivers. These sensors help map out the immediate environment of the vehicle. Artificial intelligence responds and interprets the information relayed by the sensors. Companies such as General Motors, Uber, and Tesla are currently developing systems to make self-driving cars a reality by 2019.
3. Virtual Agents
It is a computer-generated intelligence that provides online customer assistance. They lead discussions with customers and provide effective responses. These are animated virtual characters that have human-like characteristics. Virtual agents will be able to:
- Make reservations.
- Book an appointment.
- Place an order.
- Avail of product information.
They use machine learning platforms to improve their function to provide better services. Microsoft, Amazon, Google, and Assist AI are renowned companies that provide virtual agents.
4. Natural Language Generation
It is an artificial intelligence that has the ability to convert data into text. The text that is relayed in natural language such as English can be presented in spoken or written form. This conversion helps in the communication of ideas that are highly accurate by computers. This artificial intelligence technology is used to generate incredibly detailed reports. Chatbots and smart devices make use of natural language generation. One typical example of natural language generation is journalists using it to avail detailed reports and articles on corporate earnings and natural disasters like earthquakes, floods, etc.
5. Augmented Reality
Augmented reality deals with altering the perception of the real-world environment. Using advanced AR technologies, the information present in the surrounding world of the user are subject to interaction and digital manipulation. One needs to wear special goggles to understand and visualize the finished project even before its completion. It refers to the interactive experience of a real-world environment where objects present in the real-world are enhanced through computer-generated perceptual information.
Augmented reality blends the generated characters with the world. You have interacted with augmented reality if you have played Snapchat lens or Pokemon Go. Augmented reality is making its way into different retail stores that make makeup selection and furnishing much more fun and interactive.
6. Machine Learning
Machine learning is a subset of artificial intelligence. This refers to machines being able to learn by themselves without being explicitly programmed. It is an application of AI which enables systems to learn and improve from experience automatically. While working with machine learning, various sets of algorithms are required. These algorithms use a set of training data to enable computers to learn. Machine learning platforms have the ability to access, classify, and predict data. Machine learning platforms have gained ground by providing:
- Training Tools.
- Data applications.
- Application Programming Interface (API).
- Other machines.
These machines will autonomously and automatically aid these machines in performing functions effectively.
7. Deep Learning
It is a subset of machine learning that imitates the workings of the human brain in creating patterns from data and processing data for use in decision-making. Deep learning uses a hierarchial level of artificial neural networks for carrying out the process of machine learning. It is used across several industries for various applications. A few examples of deep learning incorporation are commercial apps using image recognition and medical research tools, exploring the possibility of reusing drugs.
A chatbot is the most promising and advanced expression of the interaction between humans and computers/machines. It is an artificial intelligence-enabled computer program that stimulates a conversation with a user in natural language. It communicates using telephones, messages, websites, and mobile apps.
Chatbot responds based on input from a user. Chatbot applications help streamline interactions between people and services, thereby enhancing the customer experience. Human intervention is crucial in a chatbot system as they need to configure, train, and optimize the chatbot. Chatbots greatly benefit enterprises by improving the customer engagement process and operational efficiency.
9. Internet of Things (IoT)
The Internet of Things is a system of interrelated computing devices which are provided with unique identifiers (UIDs) and can transfer data over networks without the need for human-to-human or human-to-computer interaction. IoT is a concept where devices such as washing machines, cell phones, coffee makers, lamps, headphones, etc. are connected to the internet via an on and off switch. In short, IoT refers to a giant network of connected things. Classifying and predicting data with intelligence will offer new findings and insights into connected devices.
10. Image Recognition
It is the process of detecting an object or feature in a video or digital image, and AI is increasingly on top of this technology. AI helps search social media platforms for photos and compare them to a wide array of data sets to finalize the ones that would be most relevant during image searches. Image recognition can be used to analyze clients, and their opinions, verify users based on their face, diagnose diseases, and detect license plates.
Thanks to AI, we live in a world where machines mimic human intelligence. AI has already become a major influencing factor in our lives. AI has the ability to let enterprises drive accelerated transformation in customer-facing applications, and it also helps build an interwoven world of enterprise intelligence.