We’re living in an age where technology is evolving at a rapid pace. AI business solutions are some of the most important advancements in tech. It has been seeing huge growth over the past few years.
For instance, IBM’s Watson Al system uses machine learning to not only analyze data but also to make decisions. This can positively impact several major industries. Here are some AI in business examples:
- AI can help brands create ads that target specific customers based on their location or interests; For example, Nike uses this tactic to tailor its ads toward people specifically interested in running shoes.
- You can use AI to automatically process the data in your company’s email and find patterns that might indicate a problem.
- Al is being used by companies like Amazon to recommend products based on what customers have previously bought.
- One of the most popular ways people are using it is for customer service chatbots – these bots allow you to get answers from a machine without having to wait on hold with an actual person.
- People are also using artificial intelligence for translation, writing, and marketing tasks, along with many other things.
What exactly is Artificial Intelligence (AI)?
Many AI business solutions have the potential to revolutionize a business. So let’s have a look.
Al is an algorithm that can learn as well as do tasks like a human. There are many different types of Artificial Intelligence, however, two can be distinguished. Firstly, Machine learning (ML) uses algorithms to improve its own performance when given new data. Secondly, deep neural networks (DNN) which identify patterns from existing databases.
The AI revolution is moving fast, changing the landscape forever with advanced technological solutions we have only heard about in science fiction. It will not be long before sentient AI will be a part of our world. Meanwhile, we have a lot to teach them before that can happen.
Types of AI/ML learning
Similar to every intelligent entity, Al too needs learning to perform the tasks. However, how do we teach a machine?
Machines and computers can be taught in 3 ways that can together build complex AI systems. The most effective systems have proven to be those imitating neurons and synapses in the human brain that create a vast network of information.
Let’s explore the 3 teaching methods for AI business solutions:
- Unsupervised Learning – helps find patterns and similarities in large amounts of data like reporting side effects or similar symptoms in a list of patients in a city.
- Supervised Learning – helps in data spotting through complex algorithms to find more specific details like the detection of diseases through symptoms and individual patients’ medical history.
- Reinforced Learning – This type of AI develops through learning changes in algorithms at different stages of a process to get constant updates or accurate results. An example to mention is deriving the right treatment plan for a patient through multiple sets of data involving multiple factors and patterns.
As we know how AI learns, let’s dive into AI business solutions in major sectors and industries.
Uses And Applications Of AI Business Solutions In 10 Major Industries
There are many current as well as future AI business solutions in various sectors, but we’ll focus on 10 major industries. These industries can help you come up with many artificial intelligence business ideas for your business and industry as well. So, read carefully.
Healthcare
Artificial Intelligence (AI) is being utilized in various industries and the medical field has been no exception. In a recent study, researchers found that AI can be used to identify diseases more quickly than human doctors could ever hope for!
Scientists have created artificial intelligence systems that analyze CT scans of patients with suspected abdominal or thoracic aorta disease – they can detect brain injury from acute stroke as well as pulmonary embolism caused by deep vein thrombosis.
Although these machines cannot diagnose ailments like cancer yet; it might not take too long before this technology progresses even further into detecting other such illnesses.
Let’s explore different use cases of AI business solutions in Healthcare:
- AI telehealthcare tools to avail healthcare in remote and underdeveloped regions.
- Cognitive technologies and applications for data analysis, predictions, and quick & accurate diagnosis.
- Spotting healthcare issues by biometrics, facial recognition, heart rate, etc.
- Brain-Computer Interfaces (BCI) to give capabilities back to neurological patients.
- Future radiology tools to replace difficult testing procedures like biopsies.
- Better imaging and analytics systems for healthcare reports in Pathology.
- Research tools for cancer treatment and other terminal diseases.
At Ajackus also, we leverage the latest emerging technologies like AI for our clients in healthcare and we can do the same for you.
FinTech (Banking And Finance)
AI is changing the way banking and finance work. From helping make decisions that impact our finances, to making transactions with ease, AI has left a lasting mark on these industries. With Emotional Intelligence in mind for customer service interactions as well as decision-making processes around loans or credit cards.
Let’s explore different use cases of AI business solutions in FinTech:
- Making trading easier with applications that can predict the ups and downs of the stock market with a 360-degree analysis and accuracy.
- AI-enabled automation systems to detect fraud, deploy customer support, and ease many more operational functionalities in banks.
- Evaluation and deployment of economic policies through AI systems.
- Improvement of customer experiences at banks with chatbots and observational analysis tools and systems.
- Safety in wealth management in cell phones via strong multi-authentication processes.
Learn how we can help you with AI apps for business in FinTech with our AI/ML offerings.
Real Estate
AI technology is infiltrating every aspect of our lives, and real estate isn’t immune. For example, AI is helping sellers assess their property value to determine an accurate listing price that will get them the highest return possible without waiting days for feedback from a human agent–and it provides automated reminders when open houses are scheduled so you don’t forget.
Let’s explore different use cases of AI business solutions in Real Estate:
- Map-based search engines and property recommendation tools to easily find or eliminate properties for customers on real estate websites and marketplaces.
- Market analysis tools to create strategies based on several factors such as location, demographics, ethnicity, gender, etc.
- Recording and calculation of economic values of millions of properties across the globe.
- KPI tracker for properties that can be a huge contributor to revenue.
Learn how we can help you with AI apps for business in Real Estate with our AI/ML offerings.
Education
AI is not only changing how we work, but it’s also revolutionizing the way we learn. Artificial intelligence can provide personalized feedback to learners for better understanding and retention of concepts that are taught in a classroom setting.
It will be more convenient and efficient than traditional methods where individualized attention from mentors or teachers is required as there would now be no need for human intervention.
Let’s explore different use cases of AI business solutions in education:
- It is already widely used for remote learning through video conferencing and tele-education apps.
- AI automation for general teaching operations like grading or admissions processes.
- For improvement of courses with precisely informative additions.
- Make the classroom experience more interactive with scientifically and psychologically backed methods.
- Avail a 24/7 student support system and ease learning with Al teachers.
Go to this page to learn how we can help you develop your own AI business models and AI/ML offerings in the EdTech sector.
E-commerce
E-commerce is a lucrative business, but not all companies have the funds or manpower to outsource their fulfillment needs. AI is what some online retailers are using to handle orders with greater efficiency than humans can alone.
It goes beyond simple order processing and includes decision-making that would otherwise be handled by store managers or other employees looking after inventory levels, shipment schedules, etc.
So, let’s explore different use cases of AI business solutions in E-commerce:
- Personalized and confidential recommendation systems for customers.
- Personalized notification on availability, pricing, and other customer preferences.
- Image processing systems make shopping easier based on social media activities and saved items on platforms like Pinterest.
- Content marketing tools based on AI for quick and easy marketing efforts.
- Graphic designing tools based on AI for quick and easy marketing efforts.
- AI-based software testing programs to enrich user experience.
- AI-based analytics systems to better understand the customer base.
- Self-checkout systems to make E-shopping convenient for customers.
Check out how we can help you develop your own artificial intelligence apps for your e-commerce business.
Broadcasting And Communication
Artificial intelligence has been a hot topic for decades. One of the many reasons why AI is such a hot topic is because of its potential to change how we communicate and interact with one another in ways that are much more productive than what was possible before AI became part of our communication systems.
Some experts predict that artificial intelligence will be as revolutionary in broadcasting as digital technology was when it first hit mainstream society. It is already being used successfully in the gaming industry and creating a sensation.
So, let’s explore different use cases of AI business solutions in Broadcasting and Communication:
- AI chatbots for easy communications across the internet.
- AI-based video conferencing features to enable futuristic levels of communication.
- Automation of broadcasting and media operations with more accuracy than human intervention.
- Analytical tools to better study the user base.
- Recommendation tools for viewership based on their social media interests and activities.
Learn how we can help you with AI apps for business in the Broadcasting And Communication sector with our AI/ML offerings.
Retail
AI is transforming the retail industry as it learns to make sense of this overwhelming data and predict customer behavior. It can help retailers solve problems like optimizing inventory, making personalized recommendations, or improving store layout.
AI’s ability to learn from its mistakes makes these improvements easier – algorithms only need a few more tries before they get better at solving any problem that arises in their environment. So, let’s explore different use cases of AI business solutions in Retail:
- CRM applications for better sales initiatives across the globe.
- AI-based logistics and inventory management systems across sectors.
- Drone and robot-based delivery systems for the future.
- Analytics and strategizing tools for an in-store recommendation based on image processing of security camera feeds in
- stores.
- Easy and quick payment methods in stores without human intervention.
- Robotics for manufacturing products in manufacturing sectors as well.
See how we can help you develop your own AI apps for business in the retail sector.
Travel And Hospitality
Imagine being given a customized itinerary for your vacation. The program you use to plan the trip has all of your favorite destinations and hotels listed, and it provides suggestions on what kind of activities would make an ideal holiday experience while also taking into account any food preferences or other needs that might be specific to you as an individual traveler.
AI can gather so much information about people’s thoughts, feelings, motivations, and behavior with unprecedented speed and accuracy through clever machine learning algorithms that can process large amounts of data 24/7 from billions of sources ranging from social media posts like Facebook statuses.
Let’s explore different use cases of AI business solutions in Retail:
- Facial recognition systems to strengthen security systems in hotels.
- Personalized travel itineraries through AI-based applications for travelers through algorithms studying their preferences and desires.
- 24/7 online and offline feedback and customer support systems for travelers even in remote locations.
- Offline travel guides and recommendation systems for better travel experiences.
- Artificial Intelligence-based in-room servicing systems in hotels are available 24/7.
- Artificial Intelligence-based booking applications for easy bookings.
Check out how we can help you with AI business solutions in the Travel And Hospitality sector with our AI/ML offerings.
Automated Vehicles
What if you could have a car that does all the driving for you? Imagine never having to worry about parking or other inconveniences. That’s what AI is providing in automated vehicles.
With Artificial Intelligence, cars are getting smarter and more autonomous every day–they can park themselves by using sensors to map out an area before it even arrives there! This technology will make navigating through cities easier than ever with fewer traffic jams, accidents, and wasted time on network fails.
Let’s explore different use cases of AI business solutions in automatic vehicles:
- Tesla cars are used for navigating complex traffic roads.
- Artificial intelligence-based image processing, GPS, cloud services, etc., in vehicles to collect exact information on the surroundings. This operates the vehicle on its own like Google’s self-driving cars for safer and accident-free roads.
- AI-based parking systems for less to no chaos in the parking scene.
- Artificial Intelligent cars for fuel-saving and environment-friendly conveyance.
- Self-driving cars for the disabled and older population’s convenience.
See how we can help you with AI solutions in the Automated Vehicles sector with our AI/ML offerings.
Agriculture
Agriculture is one of the oldest industries in human history. But now, it’s facing a new challenge: How can we ensure that farms stay competitive as a society, population, and technology continues to evolve? The answer may lie with artificial intelligence.
Today farmers are using AI tools like drones and satellite imagery for everything from crop scouting to optimizing watering schedules–and many more applications will be possible once agriculture-specific AIs come onto the market.
Let’s explore different use cases of AI business solutions in Agriculture:
- Security and monitoring systems backed by image processing to protect crop yields from weather, animals, and more year-round.
- AI/ML-backed data processing systems collect information through drones and increase farming quality.
- Inground sensors to monitor pest infestation.
- Smart Bots and tractors to aid the agricultural workforce.
- Livestock health and operation management through AI-backed systems.
- IoT-backed watering and maneuvering systems for fields.
Learn how we can help you develop your own AI business solutions in the AgriTech sector.
Conclusion: Opt for AI business solutions
AI will soon be able to take over all types of tasks that are repetitive or tedious, freeing up humans to do more meaningful work. The future is now and for many people, it feels like a scary place because they don’t understand what’s happening or how these changes will affect them personally.
But instead of fearing AI, embrace its potential with open arms and consider partnering with an expert company that can help guide you on this journey into the future.
We at Ajackus would love the opportunity to show you how we’ve helped our clients successfully implement artificial intelligence solutions into their businesses so they could focus more time on running their operations while still achieving great results.
Start a Project with Ajackus