Top 10 Artificial Intelligence Applications in 2023

Summary: AI technology today has much wider applications than anyone can anticipate. In this situation, it becomes important to learn about the top artificial intelligence applications to understand the existing possibilities.

A computer-based system capable of decision-making, learning, and evolving, felt like fiction. However, in the present time, it is the reality we live in. Right now, we are surrounded by platforms, apps, products, and services that use artificial intelligence to enhance user experience.

This article is dedicated to throwing light on the different types of applications of AI in today’s day and age. Therefore without any side chatter, let’s dive in…

Top Artificial Intelligence Applications in 2023!

Here are the top applications of artificial intelligence that you need to learn about:

Self-Driving Cars

Self-driving cars are almost like a dream turned into reality. Most sci-fi fans have dreamt of autonomous vehicles, however, today it is a reality. The history of self-driving cars goes back to 1939 when GM’s Norman Bel Geddes created the first self-driving car that used radio-controlled electromagnetic fields. This car would be controlled using magnetized spikes embedded into the road.

Today in 2023, these autonomous vehicles are managed using lidar sensors, ultrasonic sensors, radar sensors, and cameras. In this entire setup, AI plays a significant role. It processes all the data provided by the sensors and helps in lane driving, reading sign boards, avoiding impact on the road, etc. These AI systems also constantly collect data from the existing vehicles to make the AI model using other AI technologies such as machine learning, neural networks, etc. In 2023, autonomous car makers are pushing the limits from L2 to L3 (levels for autonomy). It would be a huge leap considering cars up to L2 requires supervision, however, L3 doesn’t require the supervision of the driver.

Virtual Assistants

Virtual assistants often known as AI assistants are application programs that have much wider applications today. They have the capacity to understand the intent of the user and perform tasks based on it. These virtual assistants are backed by NLP which is an AI technology. This allows virtual assistants to understand the context of the user and the type of tasks that are required to be done by them. Some common examples of virtual assistants developed by top mobile app developers in the UK are Google Assistant, SIRI, Cortana, etc.

These virtual assistants have capabilities like making searches using voice, setting up alarms, creating shopping lists, finding contacts, etc. Right now, these assistants are getting upgraded day by day both in terms of understanding the language and features. Virtual assistants AI models have been collecting data to make their understanding of languages and dialects more robust. Adding to it, the virtual assistants of today would be able to control Smart Homes and other IoT devices, provide customer assistance, can be used for entertainment, and enhancing personal productivity.

Chatbots

AI Chatbots are chat interfaces that are capable of human-like interactions. These chatbots are being utilized in multiple industries such as healthcare, logistics, e-commerce, etc. to provide customer assistance and customer support. Primarily, organizations use these chatbots for solving the queries of customers and raising tickets for customer queries. Some of the best AI chatbots that are available in the market are Pandorabot, Dialogflow, Aivo, etc.

Adding to it with the inception of AI-based technologies like GPT (Generative Pre-trained Transformers) and their integration with Chatbots, this technology has crossed boundaries. Previously, the responses provided by Chatbots had monotone and felt robotic. However, with the integration of technologies like GPT, the conversation with these chatbots feels human-like. This upgrade has aided in better customer retention and engagement.

Machine Translation

Post-globalization, the need for automated translators became a huge use case. With machine translation, this requirement can be fulfilled very easily. Machine translators use AI NLP(natural language processing) to understand the context and the data itself. Based on the result, it converts from one language to another. An easy way of experiencing it would be by simply making a Google search for a phrase that is foreign and translating it into your native language. For instance, convert the phrase “ありがとう。” to English. The results are produced using Machine Translation technology.

Right now, there are several trends that are ongoing for this AI-based technology that are

Increase in the usage of Machine translation along with post-editing using MTPE that are translation agencies for increasing the accuracy of translations
Higher usage or transcreation along with translation that is a mix of both translation and copywriting
The technology is being used widely in e-learning platforms for global students
Increase in the development of multilingual SEO strategies

Fraud Detection

An older press release by Juniper Research states that the global business spending for AI-enable fraud detection will exceed $10 billion dollars. It is a significant number, however, it is a significant technology that is being widely adopted especially in the financial sector.

This is how it works. Every prediction, strategy, and data-based decision is based on the historical data. The idea behind fraud detection using AI is similar. The AI model used for this technology collects historical data and based on that creates risk rules. These risk rules are used to generate the risk factors for the assessment of multiple applications that are submitted by the customers. Based on the risk score, the profiles can be easily filtered out for fraud.

Medical Diagnosis

From supporting back-office work to full-fledged medical diagnosis, AI has been doing a lot in the healthcare industry. Today, AI is capable of diagnosing cancer, figuring out findings in imaging, diagnosing cardiac arrhythmias, and a lot more. Right now, AI has been heavily aiding in the alleviation of burnout cases and helping radiologists. The future of AI in medical diagnosis holds the capability to both diagnose as well manage diseases simply by basing historical data from the EHRs (Electronic health records).

Product Recommendations

Another aspect of AI is that it can help in boosting sales simply by recommending the right products to the customer. This is done by assessing the historical data of the customers. Based on their purchase behavior, the products that fit their profile and their taste & preferences are pushed via different communication channels. Channels such as e-commerce platform recommendations, Google ads, social media ads, etc. The future for this technology is much more robust recommendations considering that the data related to customer purchase history will increase helping in creating better recommendations.

Content Personalization

The majority of OTT platforms such as Netflix, Hotstar, Hulu, etc, use this technology to provide relevant content to its subscribers. This is achieved through AI technology that continuously asses the past watch history of its users. Based on that they provide relevant content to the users for higher engagement.

Youtube is another great example that uses AI for providing relevant content to its user-based. In fact, right now social media platforms like Instagram, TikTok, etc. continuously try to assess the behavior of their users to provide relevant content to them. This application of AI is at par and will be aiding in the future as well.

Security and Surveillance

AI has also made its way to security and surveillance. Right now, the military and other associated industries are pushing further to make AI surveillance. Previously normal security cameras were only able to provide insight once an event has taken place. However, with AI in surveillance, the systems would be able to provide insights into threats. This technology will work in cohesion with two other technologies which are big data and image processing.

Creative Applications

2023 has been the year of technologies that have the potential to create creative content in terms of text, images, and even videos. Tools such as ChatGPT, Copy.AI, Bard, Jasper, etc can be used for writing creative content. The great thing about these tools is that they have the capacity to adjust the tonality and the writing style. For images, there are tools like Dall-E 2, Starry AI, Jasper Art, etc that can turn your imagination into reality. For video creation, Synthesia, Deepbrain AI, Pictory, etc can produce amazing results. This trend is going strong and is bound to get a decent foothold in the future as well.

Wrapping Up!

AI is a mainstream technology right now getting integrated into various facets of our life. It has led to better customer experience, customized services, higher efficiency, and optimized workflow. Each of the applications that we’ve mentioned above are simply a scratch on the surface. In reality, technology is crossing boundaries in almost every realm. With this article, our intention was to tell you about the most common applications of AI in 2023. However, the scope of AI integration today is much deeper and wider than anyone can imagine.