Written By :Appsierra

Thu Feb 01 2024

5 min read

Artificial Intelligence (AI): Why it Matters in 2024

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Patterns In Artificial Intelligence

What comes to your mind when you hear Artificial Intelligence? It would probably have in your mind the picture of robots like those shown in famous science-fiction films. However, there is more to know about AI besides the fact that it's becoming a part of our day-to-day lives. So, in this blog, we will walk you through the world of AI. Keep reading!

Today, Artificial Intelligence as a critical technology has transformed almost all sectors of human life, reshaping various aspects, including education, healthcare, and business, with profound impacts on human interactions.

For example, the healthcare and banking sectors have made it easy to perform complex tasks using this technology. In addition, AI has enhanced efficiency and promoted quick growth in various industries. Briefly, it has transformed several aspects of life, hence easing human struggles.

Hence, in today's blog, we will discuss all about AI. We will discuss its real-world application, benefits, types and more. However, first, let us understand what exactly it means by AI.

What do you mean by Artificial Intelligence (AI)?

Artificial Intelligence is a sophisticated technology that involves using computers, robots, algorithms, and data to mimic human intelligent thinking. As a result, if it is given a real-life situation, it deals with the way the human brain thinks and works out an issue.

Besides, AI is a study of human intelligence that helps in the development and management of smart software systems. The benefits of Artificial Intelligence are evident in its ability to automate operations, eliminating the need for a labor force with the deployment of these intelligent software systems. As a result, Artificial intelligence is a technology used widely across sectors for its ability to think and act like a live human being.

Australian AI companies lead the forefront in AI and ML development, pioneering innovative solutions and driving advancements in various industries.

Therefore, since you have understood the concept of Artificial Intelligence a modern approach, let us examine its advantages in the world of business.

Why is AI beneficial for the business world?

The global market value of Artificial Intelligence as of 2023 stands at USD 142.3 billion. With more investments coming in from various corners of the world, this value will also keep on increasing. I ask you, why would businesses be investing in AI? The answer is simple. Such could be attributed to the fact that it is beneficial. Let us see:

Boost business efficiency

AI is active 24/7, but humans have limited time to work. This means that AI does the same tasks repetitively and with constant performance all day. Moreover, it helps the employees concentrate on main business competencies in that order of priority value. So, AI improves business efficiency and offloads the pressure of work in businesses.

Reduce human errors

The use of AI tools has made some tasks automated, and human errors are reduced. Artificial Intelligence and data science, on the other hand, have made it more realistic for this technology since its introduction, benefiting efficient data entry and process. Therefore, AI feeds a quality assurance system related to the integrity of digital systems.

Automate and simplify tasks

Business enterprises can now provide customized experiences for their customers with AI-driven software applications. Besides, with the help of AI, businesses can promptly respond to their customers and offer them need-specific solutions. As a result, AI has made work easier for customer service providers while promising better experiences for customers.

Enhance customer experience

Nowadays, businesses are able to deliver personal experiences for their customers with AI-driven software applications such as Chatbot. In addition, businesses can provide instant feedback to their customer’s queries and give them the best in class solutions. Consequently, AI has made the work of customer service providers more efficient and improved customer experience.

Research and data analysis

In R&D, AI technology is common today since, in this case, AI can collect and analyze required information within minutes. It involves the use of algorithms and predictive models to analyze data that can generate meaningful insights for decisive actions. In addition, AI speeds up data processing and analysis in R&D, which earlier demanded more input from human resources.

What are the types of Artificial Intelligence?

Before you incorporate AI-powered features into your software apps, you must know the different types of AI. So, let’s get into that:

Reactive machine AI

Reactive machines are AI systems that are specifically for responding to real-time data. Besides, these systems have no memory bank. Hence, they can’t analyze customer data with their past experience. However, reactive AI is reliable and works best for delivering recommendations to the same audience.

Reactive Machine AI real-world examples:

  • The chess-playing supercomputer- IBM Deep Blue.
  • Content recommendations on Netflix.

Limited memory AI

As opposed to the reactive machine, limited memory AI can store information to make decisions. Hence, this AI system monitors specific situations and programs these observations to take actions based on past and present data. Besides, the limited memory will get smarter when it receives more data to train on.

Limited Memory Artificial Intelligence Examples:

  • Self-driving cars.
  • Virtual voice assistant.

Theory of mind

Theory of mind AI is the AI system that could be built in the future. Hence, this type of AI has no real-world examples yet. But fingers crossed, we will soon experience the glory of this AI system. So, if it is developed, this AI type can respond to human emotions. In other words, they will have the ability to understand the world and predict behavior.

Theory of Mind AI examples:

  • Autonomous cars.
  • Robots Kismet (2000) and Sophia (2016).

Self-aware

Self-aware AI doesn’t exist yet. However, these are AI systems that possess human consciousness to have thoughts and feelings. In other words, it is like digital systems having a sense of self and setting their goals independently.

Artificial Intelligence a modern approach

With these types, the use of AI has almost covered the needs of most industries. Besides, this technology has made our daily lives more comfortable and efficient. So, in the next section, we will take a deep look into the common Artificial Intelligence applications.

What are the AI applications in the real world?

The AI market size is growing rapidly with new innovative creations and features. For example, the chatbot market will reach around USD 1.25 billion in 2025 from USD 190.8 million (as of 2016). As a result, over the years, we will witness the rise of AI apps across different industries.

Artificial Intelligence applications

AI in marketing

Artificial Intelligence automates data processing to improve decision-making. Hence, in the marketing industry, it helped businesses create effective marketing campaigns while ensuring personalized experiences for customers.

AI applications in marketing examples:

  1. Personalized ads in mobile apps and websites.
  2. Smart Compose in Gmail and Google Docs.
  3. Creation of video courses

AI in healthcare

The healthcare industry is one of the top adopters of AI technology. This is because most medical institutions leverage automated bots to ensure the proper treatment of patients. Besides, in some cases, AI also offers assistance to doctors during operations.

AI applications in healthcare examples:

  1. Robotic surgeries and operations.
  2. Automate administrative activities.
  3. Patient health monitoring.

AI in project management

Artificial Intelligence in project management helps project managers handle their projects efficiently. For example, with the help of AI-driven tools, one can automate mundane tasks in project development. Besides, these tools offered efficient platforms to streamline communication between team members.

AI applications in project management examples:

  1. Knowledge-Based Expert System (KBES).
  2. AI-chatbots.
  3. Automate risk estimation in project development.

AI in banks

At present, most banking and financial institutions incorporate AI into their IT system to offer efficient customer support. Besides, Artificial Intelligence is widely used across the banking system to detect anomalies and transaction frauds.

AI applications in Banks examples:

  1. Chatbot and virtual assistance for customer support.
  2. Cybersecurity to prevent external threats.
  3. Robo advises for investment recommendations.

AI in social media

Social media sites use AI to analyze data to find out trending hashtags, posts, tweets, etc. Besides, AI allows the sites to give users personalized experiences based on their behavior.

AI applications in social media examples:

  1. User-centric posts on the Explore tabs of Instagram.
  2. Facebook uses AI to translate posts between languages.
  3. Twitter removes hateful posts using AI.

To sum up

Today, every part of human life has a touch of Artificial Intelligence. We see them on social media, online shopping sites, route maps, and more. Moreover, AI has made a big impact on various industries, including healthcare and finance. As a result, incorporating this technology has made the workflow seamless and decision-making efficient.

Hence, by reading our blog, we believe you understood the concept of AI. However, if you need professional guidance for AI implementation, you can hire companies like Appsierra. These companies will provide highly experienced talents. So, contact our experts and gain access to the AI-driven world!

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