AI Use Cases: Exploring Real-World Examples in Various Industries

AI is inclusive to almost all industries in terms of improving workflows, gathering insights, streamlining operations, etc. Let’s explore some real world uses of AI and how they have panned out across industries.

Artificial intelligence has become a transformative force across various industries. It has been revolutionizing the way businesses operate and deliver services. Using AI has become a recurring step in almost all ventures. Therefore, numerous AI startups, innovative solutions are surfacing.

In this article, we’ll address some real-world AI implementations and try to understand their importance from the guise of those examples. Therefore, let’s start!

Real-world Examples of AI Across Different Industries

In the next section, we will be highlighting the real-world examples of AI in different sectors and how this technology is revolutionizing the industries and consumer behavior. So, without further ado, let’s get started!

Automobile

The automobile industry has tried to create driverless cars for ages, and it's probably one of the biggest use cases for the industry. However, many more AI uses within the industry exist, such as predictive maintenance, real-time vehicle health monitoring, etc. 

To further extrapolate, here are the best uses of AI in the automotive industry:

1. Tesla

One of the most commonly used examples is the automotive industry. Tesla’s ADAS (advanced driver assistance system) is a marvel to wonder at. This AI implementation of Tesla’s car allows it to have features like lane-centering, traffic-aware cruise control, etc. 

Its upgraded version, Enhanced Autopilot, enables the driver with limited access to roadways, self-parking, and the capability to summon the car from the garage to the driver. Tesla is even experimenting to create a fully self-driving car in the SAE level 5 category. To achieve all this, Tesla uses various sensors and AI systems to gather data and insights and real-time self-driving capabilities to make decisions autonomously.

2. Refraction AI

Refraction AI is a manufacturer of robotic platforms and probably a pioneer (in its own sense) in applications of artificial intelligence and robotics. They have been creating safe and scalable solutions for last-mile goods delivery for urban areas. Their robotic platforms can take goods from different places, such as restaurants, pharmacies, and grocery stores, and deliver them to the customer.

Their advanced fleet of REF-1 autonomous mobile delivery vehicles has several capabilities, such as:

• Capacity to recognize both bike and car lane
• Design that operates in all weather conditions
• Exceptional stopping capabilities to prevent accidents using sensors and AI

3. Motional

Motional is another company that is contributing to the landscape of driverless cars. It is a joint venture between two companies, i.e., Aptiv and Hyundai. Motional has been on a mission to build fully autonomous vehicles with enhanced safety features and capabilities. 

The company uses a host of sensors similar to Tesla, such as LiDAR, radar, and cameras, to collect data and take actions based on it. They are a leading company in the domain of robotaxi pilots and have given over 100,000 self-driven rides with zero fault incidents. The company has partnered with major ridesharing services like Lyft, Via, and Cox Automotive.

Information Technology (IT)

AI essentially is a part or a byproduct of the IT ecosystem. The use of AI in Android app development and for other platforms is very common. The industry has generated multiple mobile applications and software based on artificial intelligence affecting our daily life.

To tell you about real-life artificial intelligence implementations, here are some real-world examples to sort you out:

1. Alphabet

Alphabet has created and applied new AI technologies to various Google products and services. It has been researching multiple AI technologies, including machine learning, natural language processing, and computer vision.

Some of the real-life AI products that they have created are:

• Google Translate
• Google Assistant
• Google Photos
• Google Maps

2. Microsoft

Microsoft is one of the biggest and the best artificial intelligence companies that has provided some innovative solutions in the domain. It has a decent number of real-life AI products used across industries. Some of these products from its suite of solutions are:

• Azure machine learning
• Bing
• Office 365
• Cortana
• Azure Cognitive Services
• Microsoft Translator
• HoloLens
• Xbox

3. Salesforce

Salesforce is one of the best uses of AI to help companies manage their customers. The customer relationship management platform is created to automate tasks, personalize experiences, and analytics. T

here are several real-life AI products made by Salesforce, such as:

• Einstein Prediction Builder
• Einstein Analytics
• Einstein Next Best Action
• Einstein Bots

Manufacturing

Manufacturing has its own complexities that can be solved via artificial intelligence applications. Here are some of the best uses of AI:

1. NVIDIA

Nvidia has created two products, the NVIDIA RTX and NVIDIA Ominverse. These products by the company help engineers and designers working in the manufacturing domain visualize any new concept and check its feasibility. It can be used to envision a full-fledged factory, as shown in the image above.

2. Intel Corporation

Intel has been working with different companies to provide solutions that can streamline their operations. The company is combining AI with technologies like machine learning and predictive maintenance. This application of artificial intelligence allows the company to generate real-time data that helps improve the overall workflow.

Also Read: Artificial Intelligence Companies in Canada

3. Mythic

Mythic provides a plethora of intelligent processing solutions for multiple industry verticals. One of which is manufacturing. Mythic has been trying to create active communication between drones and robots. This artificial intelligence real-world example would empower numerous industries. In fact, the manufacturing industry can create operational lines with complete automation and capabilities to make autonomous decisions in the future.

Banking

Banking is one industry that has to deal with a lot of customer data and go through numerous transactions. However, it has made some significant uses of AI to improve operations and streamline activities. There are several application of AI that allow it to detect fraud or any malicious activity. To further prove the point, here are some real-world AI examples:

1. Mastercard

Mastercard has created a unique ecosystem of account-to-account payments. Along with its AI capabilities, the financial institution is detecting scams and fraudulent activities in partnership with many other institutions such as the U.K. Banks, Lloyds Bank, Bank of Scotland, and many others.

The majority of scamsters used mule accounts to conduct their scams. The AI system developed by Mastercard keeps an eye on the flow of transactions and gathers insights from it. The AI system has been trained to gather insights from analysis factors such as account names, payments, payee history, etc. The collaboration of these factors helps triangulate places where scams and frauds occur.

2. Goldman Sachs

Goldman Sachs is working on an AI system that can be used to predict the performance of the hedging portfolio. The company is working on a “regularization-based” AI tool.

The AI model created uses a model trained on data from a specific user-defined “observation period”. Once the model is trained on the particular data, it is tested on the same period to see how it performs. As expected by a company, the end result is a model making accurate hedging predictions. The system even allows the users to tailor their needs based on particular needs or requirements.

3. Bank of America

Bank of America has created an AI system that goes by the name Erica. The AI-powered capability of Erica has helped Bank of America with quick responses to voice, real-time text-based or on-screen interactions with clients, and personalization of insights and advice. 

Erica has been explicitly created to provide personalized financial advice to the bank's customers. It has capabilities like reviewing portfolio performance, helping in trade, aiding in investment, and providing quotes and holdings. It is a versatile system capable of helping identify new opportunities and providing real-time exposure & data to customers.

Transport

Transport is one industry that is often difficult to comprehend. Several AI use cases in the sector include travel time prediction, road condition monitoring, traffic light management, etc. Therefore, let’s check out some real-life AI applications in the industry:

1. Uber

Uber has been using AI for several years now. The best example of understanding its application is the surge pricing whenever it is about to rain or the weather isn’t right. Uber uses AI for several reasons, such as:

• Improving the accuracy of the location 
• Validation of driver’s identity using computer vision
• Real-time forecasting for driver-demand, pickup, drop-offs ETAs, and hardware capacity planning requirements
• Making communication more accessible between customers

The way Uber provides efficient service to its customers and improves overall logistics is next-level. Furthermore, it is also using AI to enhance its profit and gather more customers for the service.

2. Google Maps

One of the best uses of AI could be taking real-time insights from traffic information. This is not a pipe dream. Google Maps has been doing this for years, and we use its service without even noticing.

Google Maps is an exceptional platform that offers extensive maps with real-time capabilities to provide the best routes between points A and B. This is done using real-time data gathered and the AI model to show the routes with less traffic and stops. 

Now, Google uses AI to provide users with a more immersive and intuitive navigation experience. In fact, as of today, users can find charging stations, parking spaces, petrol pumps, restaurants, etc. on Google Maps. All this has happened because of the advanced AI implementations done on the service.

3. Siemens Mobility

Siemens Mobility developed an innovative solution for handling traffic signals based on real-time traffic data using AI. The company displayed its solution in 2019 at the ITS World Congress in Singapore. The system was developed to reduce gridlock on the streets and centralization & control of traffic. 

Construction

Several Artificial Intelligence tools and solutions are being used in the industry. Some uses of AI for real-life applications in the construction industry are:

1. Autodesk

Autodesk is already a prominent solution used for 3D modeling by engineers and designers. However, the company has also curated an AI-based software for the construction industry called Construction IQ. 

The software uses machine learning and AI for projects leader to manage and reduce risks in four primary areas, which are:

• Cost
• Schedule 
• Quality
• Safety

It is a great tool that lets you cater to design concerns that look into RFIs and improve safety. This helps the leaders in construction to identify and prioritize issues that need to be addressed. Some of the use cases of Construction AI such as prioritizing on designs, controlling the quality, detecting safety incidents, and many others.

2. Built Robotics

If in the future, one sees robots dominating the construction site from bricklaying work to sanding and doing multiple collaborative tasks, then it can most likely be the work of Built Robotics.

Built Robotics is a San Francisco based company that makes AI-based robots for the construction industry. It has created several solutions that cater to different needs of the construction industry.

• Exosystem - It is a system that can be installed on most mid-sized excavators. The equipment can be installed on excavators from companies like Caterpillar, Hitachi, John Deere, Volvo, etc. The system consists of hardware and software that combines IMUs, cameras, and GPS, allowing the system to control equipment using EHs (electric-over-hydraulic) systems
• Everest - It is a system that connects with Everest for human-to-robot interactions. It provides capabilities such as managing geofences, tracking production rates, monitoring activity, start & stop, etc.
• Guardian - It is a remote monitoring service that detects anomalies in the operations

Also read: Artificial intelligence development companies in India

3. SiteAware

SiteAware is a digital construction platform that can use AI and drones to track progress and identify potential safety hazards in a construction site. The system has been designed to improve construction quality, reduce risk, and higher productivity.

The system by SiteAware has been created to aid construction companies of all sizes. It can be of use from small contractors to large enterprises. The system is used in various projects, such as commercial buildings, industrial facilities, and infrastructure projects.

Retail

There are multiple uses of AI in the retail industry. Let’s explore some of the best uses of AI in the retail industry:

1. Lowes

Finding hardware in a hardware store can be very difficult. This is why Lowes created robots known as LoweBot that roam around in the store and ask the customers questions about the products they want. Based on the reply, the robot helps them fetch the right product. The robots can share special knowledge related to the product, show directions, and map products.

2. Sephora

Sephora is another company that has used AI innovatively. It is often difficult for customers to find the right shade of beauty products that suit their skin tone. Sephora has a system known as Color IQ. It scans the face of the customer and provides personalized recommendations for foundations and concealers. It also has another system known as Lip IQ that tells the customers the perfect shade to wear.

3. Taco Bell

Taco Bell didn’t want its customers to wait. Therefore, it created a bot that can take customer orders using AI. The company worked with Slack to complete this project. This AI system allows customers to customize their orders and even do large group orders.

Education 

Making the education industry effective is highly important, especially when it comes to the fact that the entire system is based on rote learning. However, several best uses of AI have helped in reducing the complexity.

Let’s explore them:

1. Duolingo

Duolingo is by far the best use of AI. Duolingo is a language trainer providing lessons for up to 40 languages. The list includes some popular languages such as Spanish, French, Japanese, Cantonese, etc.

This artificial intelligence app has created a highly intuitive experience for its users. The artificial intelligence app starts with basic words and teaches the user to use those words in the situation. It works on a level-by-level basis and even compels its users to maintain a streak of using it.

2. Ivy Chatbot

Ivy Chatbot is a chatbot used by several institutions all over the world. It is a chatbot trained on millions of real questions asked by real students. Based on the training data, the chatbot can answer multiple questions related to academics for students from different academic backgrounds. The Ivy Chatbot can quickly understand the question and provide an accurate answer.

3. GradeScope

Gradescope is a platform that uses artificial intelligence to help instructors grade student assignments. The intent behind this platform is to make the scoring process quicker and more efficient.

Gradescope can be used to grade various assignments, multiple choice questions, fill-in-the-blank questions, short answer questions, and essays. The system works when the instructor creates a rubric to grade the assignment. Once done, the rubric defines the criteria for grading each question or essay. Additionally, the instructor can also review the grading done by Gradescope AI.

Healthcare

AI has multiple uses in healthcare, from managing data to administration. To understand these best uses of AI, here are some real-life implementations:

1. IBM Watson Health

Now known as Merative, it is a product actively supporting the healthcare industry. It offers a wide range of AI products and services that help its clients improve decision-making and performance. Some features of this real-world AI are:

• Data Analytics
• Technology Solutions
• Consultation

Merative, by using its AI, is capable of helping in patient care, clinical research, and healthcare operations.

2. DeepMind Health

DeepMind Health is a research lab under Google AI. It is developing AI-powered tools to help the healthcare industry diagnose and treat diseases like cancer, dementia, and eye disease.

The entire idea behind creating the company is to create new tools and technologies to help healthcare professionals like doctors, nurses, etc., to provide better care, make better decisions, and improve the overall quality of service.
The company is also working on many other projects using AI, such as:

• Detection of early signs of cancer and other diseases
• Help doctors with more effective cancer treatments
• Taking care of patients with dementia and other chronic diseases

3. AliveCor

AliveCor offers a suite of AI algorithms that effectively analyze electrocardiogram (ECG) data. It serves hardware and application ,i.e., KardiaMobile, and KardiaMobile 6L, that can detect abnormal heart rhythms or arrhythmias. 

The AI systems created by AliveCor use deep learning algorithms that are trained on large datasets of ECGs. This helps the algorithm identify patterns in the ECG data and detect the following in the body:

• Atrial fibrillation that can lead to stroke
• Slow heart rate
• Fast heart rate
• Extra heartbeats originating in the ventricles

Agriculture

Agriculture is an industry that has been supporting the entire humanity. However, AI can do vice versa. Some of the real-life AI applications in the healthcare industry are:

1. Syngenta

 Syngenta is an AI platform created for the agricultural sector. The solution analyzes satellite data and provides imagery to farmers with insights into their fields and crops. The platform can identify pests, diseases, track crop health, and even predict yields. With this AI platform, farmers are simply required to create an account and upload the satellite imagery to the platform. Once done, it will analyze it and provide insights.

2. Plantix

Plantix is another AI-based mobile application that helps farmers identify different pests and diseases in the crop. Developed by PEAT GmbH, this Berlin-based startup requires the farmer to take a picture of the diseased plant and identify it using the system. It also provides necessary recommendations and treatment for the issue detected. In fact, in a study, Plantix AI was capable of identifying almost 100 different types of pests and diseases with over 90% accuracy.

3. CropIn

CropIn AI helps farmers manage their crops and improve the yields. It provides insights about the crops, fields, and weather. The system is designed to make better planting, irrigation, and fertilization decisions.
CropIn AI offers a variety of features that include:

• Capability to monitor crop health
• Detection of pests and disease
• Predict the yield 
• Managing the crops

Marketing

Marketing is highly subjective. Therefore, the best route to create effective marketing is through data-driven insights, new ideas, content, etc. The best way to make it happen is by using AI in marketing. To further extrapolate, here are some real-life examples:

1. Jasper AI

Jasper AI is an incredible copywriting tool capable of generating high-quality copies for marketing purposes. It includes content variations such as blog posts, social media posts, email marketing, and landing pages.

Jasper AI is based on a large language model trained on a massive set of text and code. This model is capable of generating text, translating languages, and even writing types of creative content. Marketers widely use the AI platform to create engaging content for their readers.

2. Hubspot

Hubspot is a suite of artificial intelligence features that helps in marketing, sales, and customer service. The tool can automate tasks, create personalized experiences, and measure results. Some of the key features of Hubspot AI are:

• AI Content: Generate ideas, optimize text, and create customized content for different audiences
• Predictive Analytics: Identify trends and predict customer behavior
• Chatbot Builder: Create chatbots for customer support, answering queries, and generation of leads
• Recommendations: Capability to recommend products
• Automation: Automate tasks such as sending emails, scheduling appointments, and qualifying leads

3. IBM Watson Marketing

IBM Watson Marketing is a suite of AI-powered marketing solutions that can help marketers automate tasks, create personalized campaigns, and measure results.

It is a cognitive computing platform that can learn and reason like humans. It has been essentially created to make better decisions and improve marketing efforts. Some of the key features of IBM Watson marketing include:

• Identifying customer data and creating trends & patterns using it
• Automation of several marketing activities, such as sending emails, scheduling social media posts, and lead generation
• Creating personalized marketing campaigns
• Measuring the performance of the marketing campaigns

Wrapping Up!

Many people from the general population considered robotics the primary uses for artificial intelligence in the past. However, the technology is not limited to that. The role of AI in mobile app development, aggregating data and insights, automation of tasks, etc., are some incredible uses of the technology. 

With the inception of platforms like ChatGPT, it is simply the beginning of an era. Companies from all around the world have barely scratched the surface. The future of AI promises many more opportunities to create novel ways of dealing with numerous use cases and make this world more productive and efficient.