Intro

Artificial intelligence has come a long way from a sci-fi concept to human-like robots, chatbots, and virtual assistants. Throughout its decades-long history, AI has found its way into various aspects. However, some non-tech-savvy folks still wonder: what is artificial intelligence? If you’re in the same boat, scroll down to see how it works!

What Is Artificial Intelligence?

Definition

Artificial intelligence is an innovative technology. Source: Wiki

Artificial intelligence is an innovative technology that empowers machines and computers to replace human intelligence to a certain extent. In particular, AI-powered machines can learn, comprehend, and analyze data to inform decision-making, problem-solving, autonomy, and creativity. They can handle a vast data pool that goes beyond humans’ reach.

This field of science covers a lot of ground, including software and hardware engineering, data statistics and analytics, computer science, linguistics, neuroscience, psychology, and philosophy.

In businesses, AI gets involved in data analytics, object categorization, predictions and forecasting, recommendations, natural language processing, and more. This technology has streamlined customer service, marketing, management, and other tasks in organisations.

Types

Artificial intelligence can be classified based on the development stages or what it can do. Here are four main stages:

  • Reactive machines: At this phase, AI only responds to certain stimuli according to preprogrammed regulations. It doesn’t utilise memory, so these machines can’t handle new data. 
  • Limited memory: Equipped with memory, these AIs can be trained to learn and comprehend new data over time. Deep learning is a kind of artificial intelligence with limited memory.
  • Theory of mind: Most, if not all, current AI doesn’t come with the theory of mind algorithm. However, ongoing research has heightened its possibilities. At this stage, AI can imitate the human mind to make decisions like humans. It’s even capable of recognizing, learning emotions, and interacting with others.
  • Self-aware: Self-aware AI is a step up from the theory of mind. It’s a mythical machine that reaches a human level with emotional and intellectual capabilities. However, these machines haven’t existed yet.

Examples

Many AI-based tools have taken the world by storm since their debut. Some examples are:

  • ChatGPT: This new chatbot leverages LLMs (large language models) to give text- or voice-based responses to users’ questions.
  • Google Translate: This tool is driven by deep learning algorithms, which help users translate provided text into a target language.
  • Tesla: The brand employs computer vision to create self-driving cars.
  • Netflix: Powered by machine learning algorithms, the system analyses users’ viewing history to give personalised recommendations.

How Does AI Work?

AI works based on data. Source: The Blue Diamond Gallery

Though functioning differently, data is at the heart of all AI machines. When we “feed” them with new data, they can analyse, learn, and self-improve based on those insights. AI will be trained based on algorithms, including instructions or rules to instruct the AI through decision-making and analysis.

Regarding machine learning, a subset of artificial intelligence, AI will be trained by unlabeled and labelled data. This helps it categorise information and make predictions.

One subset of machine learning is deep learning. It employs multiple-layered artificial neural networks to interpret data. This process emulates how human brains function. Constant learning and improvement enable AI machines to handle tasks, such as translating or recognizing images, more efficiently. 

For example, when a chatbot receives text-based questions, it can mimic the patterns and give lifelike responses. Or, if you feed an image recognition tool with numerous pictures, it can identify objects in those photos and give image answers.

Benefits & Challenges of AI

Advantages

Good at detail-oriented jobs: AI can analyse a lot of data humans can’t handle. So, it can identify even the most subtle patterns and issues humans easily overlook. For example, a call centre might receive hundreds of calls daily. However, with limited staff, human agents and an AI who can work around the clock might not process the caller’s issues and feelings.

Can handle data-heavy tasks: While humans can work with a limited number of documents, AI tools can tackle a cloud database quickly. Businesses have massive databases that are updated every day, so only AI can analyse such a vast data pool. This will significantly cut down the time for data entry, processing, and analysis.

Improved productivity and consistent outcomes: AI tools can be in charge of hazardous or repetitive tasks, improving both efficiency and safety. For example, AI can handle routine tasks like data entry, call routing, scheduling, or answering common, simple inquiries. As they work based on pre-trained algorithms, the results are also consistent.

24/7 availability and personalization: Not limited by physical matters, AI systems can work around the clock without sacrificing efficiency. This greatly benefits customer service teams because they can provide 24/7 customer support. Even better, AI tools can be trained over time based on their collected data. Therefore, they can personalise content and interactions to improve customer experience.

Disadvantages

AI poses some challenges when using it. Source: Wiki

High costs: Developing an AI tool can cost a fortune. It necessitates a significant upfront investment in infrastructure and resources for storing data and learning. The ongoing training process also adds to the expenses quickly. For example, OpenAI has spent more than $100 million training the GPT4 model alone.

Technical complexity: Developers need a solid technical background to build and improve an AI model. It’s a multi-stage, complex process, from preparing data, selecting algorithms, and tuning parameters to testing models. This requires numerous creative minds and talents to complete.

Risk of biases: Since AI develops based on data, it also inherits biases from that data set. The biases are even exaggerated when dealing with large-scale data pools. This might lead to inaccurate analysis and discrimination.

Job displacement: The integration of AI raises concerns among employees about whether they will lose their jobs. More and more organisations are shifting towards an automated workflow, leading to massive layoffs. 

Security and legal issues: The larger the amount of data an AI tool is exposed to, the higher the risk of cyber threats it faces. Sensitive personal data can be leaked for fraudulent purposes. The regulations regarding the use of AI varies among countries. Therefore, security and privacy issues might lead to lawsuits in some regions.

How AI Helps With Customer Service

AI transforms customer service by enabling businesses to deliver fast, personalised, and efficient support. Companies like StringeeX, known for their omnichannel contact centre solutions, are harnessing AI to create seamless customer experiences across multiple communication platforms. 

With AI-driven tools, StringeeX can automate routine tasks, such as routing calls, freeing up human agents to focus on more complex inquiries. AI also provides real-time insights and suggestions to help agents deliver more accurate and personalised solutions. 

Moreover, by integrating AI with an omnichannel contact centre, businesses can manage customer interactions across a wide range of channels, such as voice, chat, and social media, ensuring consistent and timely support. This innovative approach significantly improves customer satisfaction, agent productivity, and operational efficiency.

Conclusion

What is artificial intelligence? We hope our article helps you understand more about this technology. AI benefits businesses in many ways, and it’s evolving into a better version in the near future. If you have any questions about using AI in customer service, feel free to contact StringeeX!