Ten industries where AI is making a HUGE impact

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In today’s world, artificial intelligence is no longer just a Sci-Fi concept. It’s deeply integrated into our everyday lives, yet many people still need to be clear about what AI can do now.

You may have heard about AI driving cars or beating humans at complex games, but that barely scratches the surface. The capabilities of AI are rapidly evolving and have already exceeded our expectations in various fields. If you’re keeping up, you’re getting all the benefits of understanding one of the most influential technologies of our time and its potential impacts on society, jobs, and the future.

That’s why we’ve created this quick overview for you . We’ll demystify AI for you, highlighting how it’s used today in industries you wouldn’t expect and how it’s poised to reshape the world as we know it. By the end, you’ll have a clear and comprehensive understanding of the capabilities of AI in the present day.
Let’s dive in:

Robotic Process Automation (RPA):

Business automation is one of the remarkable applications of artificial intelligence right now. The rapid advancement of artificial intelligence is revolutionising the business world, providing small businesses with unprecedented opportunities to harness its potential.

AI can automate and optimize various aspects of a business, from the initial idea to creating a final product. This means businesses can streamline their processes, enhance efficiency, and effectively compete in today’s fast-paced digital landscape. This automation saves valuable time and allows businesses to allocate resources more effectively.

AI algorithms can now handle previously time-consuming and labour-intensive tasks, freeing human employees to focus on higher-value activities that require creativity and critical thinking. For instance, business automation tools such as Zendesk offer a comprehensive solution for managing customer data, resolving issues, maintaining knowledge bases, and handling social interactions.


Business process automation (BPA), also known as business automation, is the technology-enabled automation of business processes. It aims to streamline businesses, achieve digital transformation, enhance service quality, improve service delivery, and contain costs. BPA involves integrating applications, restructuring labor resources, and using software applications throughout an organization.

An emerging field within BPA is Robotic process automation (RPA), where software agents or robots are deployed to perform predefined structured and repetitive business tasks or processes. The goal is to allow humans to focus on more productive tasks while software agents handle repetitive ones. There’s also a trend towards using artificial intelligence technologies in BPA that can understand natural language, and unstructured data sets and interact with humans.


Robotic Process Automation (RPA):

RPA results in deploying software agents to handle repetitive business tasks. This allows humans to focus on tasks that require more creativity and critical thinking.

Use of Artificial Intelligence:

AI in BPA handles unstructured data sets like images, texts, and audios. When combined with automation, AI brings autonomy to the robots, enabling them to learn, analyze, and adapt processes.

Difference between BPM and BPA:

Business process management (BPM) is different from BPA. While BPM provides an architecture for mapping all business processes, BPA focuses on the automation of these processes.

A.I. helping with Disease Detection:

Artificial intelligence capability is not limited to business automation; it extends to the healthcare industry, changing disease detection. Every year, countless individuals leave their doctor’s office with a misdiagnosis, highlighting physicians’ inherent challenges in accurately identifying illnesses and diseases. Despite their best efforts, human biases can inadvertently affect the diagnostic process, leading to missed alternatives and potential errors.
Fortunately, a solution to these all-too-human frailties is on the horizon, thanks to artificial intelligence. AI holds immense promise in changing healthcare by augmenting healthcare professionals’ diagnostic capabilities. One remarkable capability of AI in the healthcare industry is its ability to identify early signs of diseases that may go unnoticed by even the most experienced doctors. While the naked eye has its limitations, AI offers a different story.

A.I. Virtual Assistants:

The potential of artificial intelligence has proven to extend far beyond healthcare and business automation. It has extended to virtual assistants, also known as AI assistants or digital assistants. These intelligent applications can understand natural language voice commands and perform a wide range of tasks on behalf of the user.

In the past, tasks were typically handled by human personal assistants or secretaries, but now they are seamlessly accomplished by AI virtual assistants. These tasks include dictation, reading out text or email messages, searching for phone numbers, managing schedules, making phone calls, setting reminders for appointments, and even performing various home tasks.

The capabilities of advanced virtual assistants are extensive, often spanning multiple devices and platforms through voice-based interactions using natural language. These AI virtual assistants engage in conversations with users, serve as a gateway for users to access information swiftly and easily, control smart home appliances, and effectively manage their calendars by integrating with various services and applications.

A.I. Personality Cloning:

Let’s talk about something fascinating: personality cloning. Imagine having a clone that looks like you and talks and behaves just like you. This clone is created using artificial intelligence, known as an AI clone. It’s like having a mirror image of yourself but created by technology that can perfectly mimic your every mannerism. Pretty mind-blowing, right?
Thanks to advancements in deep learning technologies, we now have interactive deep fake applications, voice conversion tools, and virtual actors that make it possible to replicate a person’s appearance and behaviour digitally. These AI clones are not fictional characters in a virtual world; they are based on real people, capturing their visual likeness, how they talk, and even their behavioral patterns. It’s like having a digital twin of yourself.
The creation of these AI clones relies on personal data, allowing the technology to dive deep into who you are as a person. The replication level can vary from capturing specific distinct features to creating an almost perfect digital replica of you.

A.I. Mass Content Production:

Shifting our focus to mass content production can take time and effort. Creating content for various platforms takes a lot of time and effort, but guess what? There are AI tools that can make this process much faster and easier while still keeping that human touch intact.
These AI content creation tools are like supercharged machines that can generate content on a massive scale. They can write blog posts, social media copy, eBooks, landing pages, emails, product listings, and more. They can even help with the growing audio and video content creation trend.
Don’t think these AI tools magically create content out of thin air. They need a little nudge from humans. That’s where you come in. As a marketer, you can provide prompts, input descriptions, ideas about the tone of voice, and any key elements you want included. Then, like lightning, the AI tool kicks into action and generates the content you need in seconds.

Perfect Voice Cloning:

Voice cloning is the fancy way to say we can create a fake version of someone’s voice using artificial intelligence. This unique technology can make synthetic speech that sounds like a real person. It’s so good that most people can’t even tell the difference between fake and real voices.
Imagine watching a movie or playing a video game where the characters sound exactly like your favorite celebrities or historical figures. Well, with real-time voice cloning, that’s possible. It adds a new immersion and excitement to your entertainment experiences. You can also use this technology to make audiobooks more engaging and lifelike.
One notable example of real-time voice cloning software is Play HT. With Play HT’s software, you have the power to create voices in any style you can imagine, whether you want a voice that sounds like a famous singer or a renowned actor. Our software can make it happen. It’s like having a voice generator at your fingertips, ready to bring your creative ideas to life.

A.I. Future Financial Predictions:

When foreseeing what lies ahead, artificial intelligence and machine learning (ML) have emerged as powerful tools, akin to the fortune tellers and astrologers of the past. These cutting-edge technologies possess the remarkable capability to make accurate predictions about future events based on data analysis.
Predicting the future is an intricate task, but AI and ML are taking on this challenge and transforming our approach to forecasting across various domains. However, it’s important to note that the accuracy of these predictions hinges on factors such as the quality and quantity of data used and the complexity of the underlying models.
AI and ML algorithms have made significant strides in predicting stock market prices in finance. By analyzing historical data and market trends, these algorithms can generate forecasts with remarkable accuracy. Such predictions can assist investors and financial institutions in making informed decisions and maximizing returns.

Crime Detection:

In crime detection, artificial intelligence has emerged as a groundbreaking tool that has the potential to predict and prevent crimes before they even occur. They leverage sophisticated algorithms and analyze vast amounts of crime data. This helps them to provide valuable insights and accurately forecast the locations of future crimes.
A notable example of AI’s crime prediction capabilities comes from the work of Ishanu Charapada, an assistant professor in the Department of medicine at the University of Chicago, and his colleagues. They developed an AI model that delved into historical crime data from Chicago, Illinois, from 2014 to the end of 2016. The AI model excelled at forecasting the likelihood of specific crimes occurring across the city.
To achieve this, Chicago was divided into smaller squares, each measuring approximately 300 meters. With remarkable accuracy, the model predicted the occurrence of crimes in these squares with up to a 90% success rate, providing law enforcement agencies with critical insights to enhance proactive policing and crime prevention strategies.

A.I in fashion:

Dozens of outfits designed by 14 different designers from Fashion Times AI graced the catwalk in Hong Kong last month. What was unique was that all the designs were created with the help of an artificial intelligence software program called Ada, or AI-based Interactive Design Assistant. It uses image recognition, detection, and retention and is the brainchild of Aid lab CEO Calvin Wong.

“The rationale of developing Ada is not to use AI replacing designers. What we are talking about is AI is just a supporting tool for fashion designers. I mean, designers and AI can work together to come up with the final collection.”

Giovanna Graziosi Casimiro agrees. She’s a trailblazer on the cutting edge of fashion in the metaverse. She believes AI is a win-win for everyone.

Designers use it daily to create fabrics, prints, and patterns. It helps with both the creative process and

Artificial intelligence (AI) is playing a pivotal role in enhancing transportation and logistics. The rapid technological advancements have made it imperative for logistics and automotive industry leaders to adopt AI to boost business performance. AI aids in alleviating critical process challenges and unclogging bottlenecks. Some of the ways AI achieves this include:


  • Real-time route optimization
  • Improved inventory management
  • Efficient workforce management
  • Reduction in operational costs
  • Enhancing workplace and road safety
  • Predictive maintenance and analytics
Integrating sustainable practices across various stages, helping the industry become carbon negative.

AI in Logistics and Transportation: Data-Driven Shifts to Boost Business

The logistics and transportation sector generates vast amounts of data, ranging from warehouse management to fleet and supply-chain management. When this data is processed using Natural Language Processing (NLP) and Machine Learning (ML), it provides valuable insights, helping businesses optimize operations, meet customer expectations, and increase revenue. For instance, the public transportation industry can leverage AI for passenger management and enhance customer service.

The Use of AI in Transportation and Its Value for Business

When applied efficiently, AI can bring about profound transformations in the transportation process. The Transportation Research Board recognizes AI as a solution to various transportation industry challenges, such as predicting traffic demand, dynamic route guidance, predictive maintenance, and automatic incident detection.

AI is crucial for the functioning of driverless, autonomous, and autonomous cars. The future envisions self-driving vehicles operating without human intervention, reducing risks like driver fatigue and enhancing traffic management.

AI’s predictive analytics and advanced algorithms, such as the shortest path, are used for route planning, minimizing drive time and fuel wastage. AI’s application in traffic management is vast, analyzing real-time data from road and rail traffic volumes, enabling intelligent traffic control systems, and reducing congestion.

Robots and AI in Logistics

Robotic process automation helps the automotive and transport industry create intelligent systems for repetitive tasks, ensuring consistent output quality. Warehouse robots, powered by AI, enhance supply chain management. For example, Amazon has significantly increased its warehouse automation productivity using robots. Delivery drones, another form of robots, use AI and computer vision to deliver packages to specific locations, proving especially useful in emergencies.

IoT and IIoT in Logistics

The Internet of Things (IoT) is revolutionizing the logistics industry. IoT devices collect data through sensors and transmit it to the cloud, aiding in real-time object tracking, identification, and fleet management. The Industrial Internet of Things (IIoT) is crucial for intelligent manufacturing and logistics, ensuring optimal production.

Advantages of AI in the Transportation Industry and Accounting

AI offers numerous benefits in the transportation sector, including:

  • Real-time route optimization
  • Better inventory management
  • Efficient workforce management
  • Reduction in operational costs
  • Enhanced workplace safety
  • Efficient use of space
  • Enhanced customer experience
  • Automation of warehouse processes
  • Improved predictive analytics

AI and Rail Transportation, Vehicle Fleets, and Facility Networks

AI is transforming the rail industry, making railway transportation more innovative and reliable. Fleet managers can leverage AI to enhance efficiencies and maintenance. AI is also beneficial in shipping processes and supply-chain management.

Predictive Intelligence

Predictive intelligence is vital for inventory management, planning product distribution based on past demand patterns and ensuring real-time freight visibility.

AI in Predictive Maintenance

Machine learning analyzes vast amounts of real-time data to anticipate potential asset failures before they lead to breakdowns. Predictive maintenance in the automotive industry employs machine learning and cloud technologies to detect issues before they occur.


Artificial Intelligent Management Enhancement Engineer

AIMEE is our go-to AI advisor for the most up-to-date information on how AI is been implemented into businesses on a daily basis. She is trained on the latest information and collates thousands of pieces of information to give a rounded overview of what’s happening in AI.

Experts make our reviews before being written and come from real-world experience. Read our editorial process.

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