Artificial Intelligence (AI) is the greatest revolution in the history of technology. It serves as the base of many new functionalities in the world of technology. Talk about autonomous vehicles or highly personalized recommendation systems of OTT platforms or e-commerce; both technologies are deeply woven with our day-to-day tasks. AI refers to the set of algorithms that allow machines to reason in a similar way to human beings. It enables machines and computers to learn to think for themselves. That is a set of processes that try to imitate human intelligence in a robot or certain software. One of the benefits of AI is greater productivity and improved decision-making, paving the way for more real-world artificial intelligence applications.
Learn more – What is Artificial Intelligence?
Artificial Intelligence Applications
AI has its deployment across different fields and it has contributed towards reducing costs and improving efficiency. Some of the latest artificial intelligence applications across different fields are –
Automated marketing strategies have been gaining ground, especially in specific methodologies such as Inbound Marketing. Thus, thanks to the personalization and scheduling of emails according to the needs of the prospects, you can improve both the return on investment (ROI) and the conversion rates and loyalty of potential customers. Other AI applications in digital marketing include –
- Deliver targeted and customized ads to the users with the help of pattern recognition and behaviour analysis.
- Content marketing matches the brand voice.
- Manage performance and campaign reports, create data visualization sheets, and much more.
- Segment, personalize and automate processes for a better consumer experience.
- Programmatic advertising using predictive algorithms for the automation of PPC bids
Customer service has become a priority for all companies, as good or bad service can be crucial to moving to the next stage of the buyer journey. For this reason, AI also has a place in this area with the aim of improving the consumer experience.
For this, robotics has evolved in the field of virtual assistance, generating what is known as chatbots. These chatbots consist of computer programs that interact with users, solving their doubts and problems while recording their behaviours and preferences.
Although customers are often reluctant to deal with machines, virtual assistants are responsible for mimicking human behaviour to the point of being able to hold conversations with them and offer them personalized interaction.
Retail has been increasingly taking advantage of AI and machine learning, especially to manage stocks efficiently. In this way, the application of Artificial Intelligence becomes a lever to optimize the purchase and distribution process to points of sale and avoid stock breakages, both in physical establishments and in e-commerce.
AI with machine learning and deep learning is a key element in the development of self-driving vehicles. Simple artificial intelligence is already present in many of the cars we drive, especially in some ADAS security systems and digital assistants. AI has a role to play in a vehicle’s radar, GPS, and control signals. Other implications for the usage of AI in smart vehicles include –
- Managing humongous vehicle fleets
- Find out optimal parking spaces and charging points for electric vehicles
- Direct the vehicles on the correct track,
- Safeguard them from any road hiccups
- Inform them about any roadside incident beforehand
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AI has revolutionized social media to optimize its posts and publications. Technological improvements allow monitoring of user activity in real-time on platforms such as Twitter or Facebook. This, in turn, determines the most efficient ads, while their algorithms make them learn from successful experiences to improve subsequent campaigns.
What we know today as remarketing, these algorithms also allow us to collect consumer behaviours to send them advertising through their own channels. For example – a consumer has been looking at sunglasses on a web page and has put them in the shopping cart, but for some reason, he could not make the purchase. In this case, the Facebook pixel could show that same user a personalized offer of the products left in the basket. Sounds familiar, right?
AI has revolutionized the healthcare field in the past few years. One of the most important benefits of AI is the speed and accuracy with which it can process large amounts of data. AI has also empowered medical staff to create workflows to facilitate the detection of potentially fatal conditions, thereby leading to better medical treatment and care. A fine example is – Identifying cardiovascular issues – AI has automated the detection of abnormalities in imaging tests and helped targeted treatment of the heart effectively and accurately.
Medical imaging has witnessed a significant improvement in terms of automated image interpretation. It has helped to improve the sensitivity of medical tests and reduce false positives.
Voice assistants like Siri, Google Home, or Amazon Echo are some of the most popular examples of AI that we use on a daily basis yet we are ignorant of its importance. These assistants use natural language processing to interpret the information being communicated to them and respond to the requirements of the users, either verbally or through the execution of a specific action.
The customers could program these smart assistants to keep them alert through pop-up notifications on their laptops or mobiles, and now even their smartwatches. Smart assistants can also learn and modulate suggestions, taking into account user preferences.
Travel and Transport
A report by Cylance suggests that 79% of companies use AI as a primary security measure and use machine learning to prevent computer attacks. AI helps the system to learn patterns, and adapt to simplify the response to the risks of incidents. It helps the machines to apply their security protocols according to the information acquired through deep learning and machine learning algorithms. This information is then used to determine the behaviour patterns in networks that have a direct influence on predicting movements and future attacks, the operating systems used, as well as the servers, the firewalls, user actions, and response tactics.
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AI has already proven its potential in banking. It has enabled banks to focus on –
- Developing new forms of customer relationships with the support of artificial intelligence
- Customizing products to suit each client
- Supporting business managers to get rid of repetitive processes
- Strengthening protections against fraud and cyberattacks
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BMW Group, in collaboration with Nvidia, is improving their robots to increase their use of high-performance computing technology in logistics. These smart robots can be programmed to take up complex tasks that are at par with human brilliance.
The incorporation of AI with robotics has helped to not only lower costs but also improve efficiency and ease of functioning. We can say that the more these systems interact with humans; the more they learn from them and give a more personalized experience to the users.
Artificial Intelligence Applications – Conclusion
Artificial intelligence applications are diverse, and it has now become the core requirement for almost every industry. With these artificial intelligence applications, we can predict the impact of a new product on the market, forecast the weather, or even estimate who may be the next president of a certain country. All these tasks involve making predictions based on past facts and data that can be modelled with a Machine Learning algorithm. The scope of AI will only grow with a myriad of algorithms, VR simulations, and other exploration technologies evolving. Expect more advancements in artificial intelligence in the future and gear up for a better tomorrow!