Top AI trends that can change the world

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Top Ai Applications
Get to know the top AI applications in 2024.

The world is slowly recovering from the pandemic. We have witnessed unforeseen circumstances from which we have learnt lessons for life.
Artificial Intelligence (AI) is all set to change our lives for good in the upcoming days.

The primary purpose of AI is to cater to human reactions in any given situation. Then it involves making machines react precisely how we want by leveraging coding and algorithms. These combined processes can provide apt solutions to manage our day-to-day lives in the upcoming years.

This artificial intelligence applications list will surely blow your mind. In 2024, they were going to redefine the world we know. iQuantM is a reliable SAP Implementation Company in the UK, Leeds.

AI applications

Top AI applications in 2024

Chatbots are rising higher and higher.

Around 60% of millennials utilise chatbots regularly for purchasing essential goods.

The fast and furious world we live in has become compact regarding connectivity and conversations. We are now seeing widespread use of AI in customer care support. It happens when AI memorises the response patterns and conversations. Chatbots can come in handy to find phrases or keywords or match the inputs and searches. It will help us determine how to respond to the information with an AI platform and SAP Implementation service in USA.

Peter Rojas of Betaworks quotes in Chatbot Magazine that messaging apps should be considered the platform of the future. On the other hand, he says that the application of bots would depend on how users would access all the services.

AI Autopilot is the new trend.

55% of small-scale businesses believe fleets will be utterly autonomous within 20 years.

Commercial planes use artificial intelligence in the Autopilot function mode to conveniently handle systematic flight. As for the future, AI will shorten the length of our commute even further through self-driving cars. It can also result in 90% fewer accidents, intelligent traffic lights to reduce waiting times by 40%, and optimised ride-sharing to reduce the number of cars on the road by nearly 75%.

With all these features, we can expect a fall in the overall driving time by nearly 26%, per an independent pilot study. That is a surprising fact about AI.

Spam Filters in email are the buzzword.

Almost 85% of emails you receive are spam. The amount of incoming spam or junk emails can sound annoying when we loiter around our inbox emails.

The majority of the traditional word-based techniques and filters wouldn’t be helpful when we want to pour hot water over the efforts of the spammers. We will witness high-end results when we bring AI to its total capacity for identifying spam mail and helping users through an SAP Implementation Company in the UK.

Online Maps are in demand.

Do you know that Google Maps users are known to provide 20+ million pieces of info daily?

Online Maps such as Google maps can analyse vehicles’ traffic speed and movement at a particular time. It will simplify the riding experience of all commuters in case of traffic jams, construction works, unfavourable weather conditions, etc.

The crowdsourcing aspect of all these apps would also generate a large quantity of data that can provide to the users via proprietary algorithms through an SAP partner. It would provide information on the shortest and fastest routes between two or more points, thus easing travel roadblocks regarding the SAP Partner in the UK.

Robo advisors are here to stay.

In 2019, the robot advisor market hit $827 billion AUM. As of 2020, the market value rose to a whopping $987 billion.

Their popularity grew in the market right after the 2008 financial crisis, and they were considered a hit because of the SAP Service in the UK.

They can act as digital financial advisers operating with less human interference. They are known to offer properly analysed advice in risk-oriented investment strategies compared to humans.

Credit card approvals are automated forever.

According to MasterCard, 1 in 6 experiences card denial due to suspected credit card fraud.

Nowadays, excess credit card usage has put many global citizens under the scanner. When a consumer is going to apply for a credit card or loan, the bank should be in a position to approve your application quickly. All these decisions are based on a quick assessment of the credit scores, applied loans, financial transactions etc., using AI.

MIT researchers have gone on to develop an “automated feature engineering” approach. With this, we can extract the above 200 detailed features for every individual transaction. This way, predicting when the cardholder’s behaviour isn’t normal is also possible. This model reduced the false-positive predictions by 54% while saving 190,000 euros.

Flying drones are popular like never before

As per Philly by Air 2020 Survey, nearly 15% of Americans have flown drones.

They are flying drones listed among the unavoidable applications of AI solutions. Developers use a trajectory generation algorithm to instruct where and how the drones must move and land. To control the movement of the drones, we can use a Wi-Fi connection and a computer, into which you can initially load the model.

The flying drones leverage sensors and video cameras to translate the environment into a 3D model. With an error calculation algorithm, we can determine a precise position where the drone has to land. The best application of drones would be in industries and services such as food and the military by an SAP Implementation Partner.

Video game bots are garnering attention.

The 2020 survey by Adjust states that 41% of mobile gamers have leveraged bots.

The AI components that video games use often are a derived version of SAP S/4 HANA ERP Implementation. A few of the most common examples of AI components include adaption (learning), pathfinding, planning, perception, and decision-making.

Video game bot is an easy way to visualise Artificial Intelligence in real life. Many games involving First-Person Shooters (FPS) allow us to play with bots instead of humans, making it more interactive.

Many doctors prefer computer-Aided Diagnosis.

The United States Food and Drug Administration gave a green flag for a computer-aided detection system for mammography long back in 1998.

Computer-aided Diagnosis has evolved into something bigger and better through the involvement of Artificial Intelligence in assisting doctors while interpreting medical images.

Many hospitals use it in current times to help us diagnose lung, breast, and colon cancer, along with so many other diseases. Hospitals also use many techniques such as classification and feature extraction in recent times with Artificial Intelligence.

In January 2017, Tempus and Mayo Clinic’s Center for Individualised Medicine joined hands to develop personalised cancer care through a machine learning platform. Many such health organisations have come forward to use AI.

AI-supported ERP Software

When you combine AI with SaaS, you can expect a terrific result. AI would aid in better decision-making in the upcoming days when companies start collaborating with the best ERP Software, such as SAP S/4HANA Cloud.

With Business Intelligence (BI) powered dashboards, you can get clear insights into what’s happening. It will enable you to outperform your competitors in the upcoming days.

To put it in a nutshell

AI has found a profound place in people’s lives in recent times. It has improved productivity and increased reliability.

These applications of Artificial Intelligence can act as a testimonial. They are all set to make 2024 a prosperous year.

Are you in need of SAP S/4HANA Cloud? iQuantM is here to offer you the needed assistance. Contact us.


Many industries such as food, professional services, travel, and the automobile industry are known to involve AI applications.

The major difference between AI and robotics is that robotics involve physical things directly whereas AI involves programming and cognitive intelligence.

Yes, many SAP products such as SAP S/4HANA Cloud involves AI and ML, thus allowing businesses to facilitate better decision making.

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