Intuitively, business is going to be one of the core sectors where AI will rule – impacting people, jobs, careers, and frankly – everything. 

On that note. we thought it would be insightful to share some of the leading use cases of Artificial Intelligence in business that propel the growth of artificial intelligence software development in the world today.   

Leading Use Cases of Artificial Intelligence in Business 

According to the “State of AI in 2021” by McKinsey Global Survey, 56% of the survey’s respondents stated that they were using AI in one or more capacities. 

The number was up by 6% from the 2020 survey. 

Similarly, in 2023, the same survey highlighted the growing popularity of generative AI implications like ChatGPT. A whopping 79% of respondents are said to be using generative AI or have had some exposure to it. 

So, ChatGPT basically familiarised people with artificial intelligence and that familiarisation is what brings us to other use cases where AI has been at work already. 

Let’s take a closer look.

• AI in Cybersecurity – AVATAR to the Tokyo Olympics

Back in 2018, the Department of Homeland Security (USA) deployed AVATAR, created with the help of AI. This was a system for analyzing bodily motions and looks. It could detect potential breaches in security based on the “studying” the AI model had already done on samples. 

Further, Artificial Intelligence was also used by cybersecurity experts to thwart an attack on the Internet of Things framework during the Tokyo Olympic Games in 2020. 

AI and machine learning with their ability to amass data from thousands of sources, study them and create trends and patterns, then detect anomalies, all in real-time, are some of the biggest applications of AI in the world today. 

Moreover, the market for AI in cybersecurity is projected to reach a whopping $46.3 billion by 2027!  

However, be cautious as AI is also being used by hackers to execute threats. 

So the war is certainly on. 

• Marketing – Creating Buyer Personas and Content 

AI is being used massively in marketing and advertising. 

46% of businesses say they use personalized advertising, which is only possible thanks to AI. 

What they mean is that they use AI to study customer behaviour and then create models of that behaviour into what is called a buyer persona, then they manipulate their entire advertising efforts to be appealing to that particular buyer persona, thus saving tons of money than if they were to randomly target customers. 

Also, AI is used in the content production field. 42% of businesses are using AI tools to create long-form content. Copywriters are largely being replaced thanks to the advent of ChatGPT, a generative AI model that creates long-form content. 

While this may seem like bad news for copywriters, it is good news for those working in artificial intelligence software development, natural language processing, and machine learning. 

• Customer Relationship Management – The Rise of AI Chatbots 

You must have noticed a small pop-up on the right-hand side corner of most websites that you visit nowadays. It’s a digital representative trying to help you with queries through the medium of chat. 

These innocuous pop-ups are called chatbots and they have changed the way customer relationship management is done for all major companies.  

For online users, it is impossible to have humans greet them when they visit a website, so these chatbots have taken over. 

They save companies a ton of money on hiring personnel and training them to deal with clients. 

Basic entry-level details are jotted down by the chatbot. The chatbot can offer solutions to basic problems through a combination of machine learning and natural language processing. 

More complex queries are routed to humans via the chatbot. 

• Analysis – Studying Zettabytes of Data for Business Growth

We live in a world that’s constantly producing data. 

The average person produces 146,880 MB of data per day. 

Now take into account the data produced by sensors and other IoT objects, the figure is probably in zettabytes.

Streams, no, make that rivers, of data, are gathered into large databases throughout the world and studied to extract meaningful information from them. 

Data scientists and analysts (one of the top careers of 2023) study these data sets for various businesses and help these companies analyze their customer habits, their client habits, and their business and find ways to make processes efficient and simple. 

Artificial intelligence software development makes it possible to analyze the data and help people make decisions on the job, which brings us to the next point.

• Decision Making – Analyzing Stock Trading Models and Risk Management

With the help of AI, predictive models can be built based on the inputs provided to the machine during training. These models use “predictive analysis”, a mathematical technique, to come up with probable trends and predictions. 

These trends help senior and mid-senior level business people make decisions based on the reports produced by the mathematical models. 

For instance, in the finance sector, especially in the world of stock market trading, AI is used to figure out the risk associated with investments. So, these financial models help traders and insiders with the information that they need to make the right decisions.  

Wrapping Up 

To wrap up, the field of AI is an interesting, fast-paced, and ever-changing world. There are so many existing use cases of Artificial Intelligence and so many new ones coming up that it is easy to see that this sector will continue to grow. 

If your business is interested in artificial intelligence software development for any use case that you envision, it’s time to talk to the experts at Ivan Infotech. We can help you build some of the best-in-class AI implications short of driverless cars! Get in touch today. 

Now that you are aware of the use cases of AI, are you ready to spot these use cases in daily life? 

Let us know in the comments below. 

With the increasing surge in the demand and interest in AI software development, there are several trends emerging in this field making businesses much more streamlined and cost effective. If you are a tech professional or anyone who is involved in the technology field, it will be great to know about the AI and Machine learning trends.

AI And Machine Learning Trends to Check In 2023

• Development In Predictive Analytics

One of the top AI trends is the development of predictive analytics for enabling better research. It depends upon the use of data, machine learning techniques and statistical algorithms for identifying, depending on historical data like future outcomes. The goal is to make use of this knowledge of the past for offering the best assessment of what will happen in the upcoming future.

• Information Security

Information security covers the tools and processes that are adopted by organisations for protecting information. It includes the policy settings installed for preventing the practice to prevent the unauthorised access, disclosure, disruption, modification, inspection, recording, use and destruction of information. The AI prediction denotes that it is growing and an evolving field. The information security programs are made around the core objectives that are called CIA, Confidentiality, Integrity and Availability for protecting confidential data from cyber threats.

• Digital Avatars

The digital avatar is one of the current artificial trends as a visual form or image that is made to represent the person in the virtual world. The AI prediction considers that the advanced technologies like AI and Augmented Reality ensures that Avatar bodies are being developed to match up with the human beings that are generally mind-linked with the avatars for remote control operation.

• Military Weapons

The military weapons generally cause physical damage, serious injuries and even death, to even warfare and adversaries. The weapons can be animated and inanimate too. The list of such weapons includes rockets, machine guns, grenades, armour and lots more. Using AI in this field is increasing at a high rate in militaries for remote functionaries and also protecting soldiers from death injuries.

• Hyper Automation

One of the trendiest AI and Machine Learning trends is Hyper Automation that is an effective way for improving customer service and also speeding up the processes. There are various technologies that help in powering hyper automation like Artificial Intelligence, Machine Learning, cognitive process automation and lots more. Apart from improving customer service, the hyper automation also helps in accomplishing tasks faster.

• Embedded Application

It is the software application that is permanently positioned, mainly in the flash memory or ROM in the consumer device. The fundamental attributes of Embedded Application are real-time, are fault-tolerant and also portable in nature. Some of the examples of AI prediction include image processing systems in medical imaging equipment, motion detection systems in security cameras, fly-by-wire control systems in aircraft and lots more.

• Large Language Models

The large language models are made on the principles of machine learning where the algorithms recognise and predict, generating human languages based on very large text-based data sets. The models include statistical language models, speech recognition, neural language models, machine translation, text suggestions, sentiment analysis and lots more. These models are to transform science with AI.

• AI ethics

The AI value platform is called as the broad collection of considerations for responsible AI that makes the best combination of 3 important factors- the human concerns, security, safety and environmental considerations. The core components are AI and privacy, AI mistakes, and managing AI management results.

These are some of the trends you can check in the upcoming year for AI and Machine Learning. For AI app development, you can hire the team that offers AI software development solutions as per your business needs.

AI and a range of machine learning models are being used to develop highly resilient and sophisticated software platforms. These models are also essential when it comes to tracking and analysing the data feeds within the software. The major advantage of using AI technology is its potential to offer insightful ways of fixing an issue. Programmers can depend on them to tweak parts of the code so as to arrive at the desired result.

The Way AI and ML Are Revolutionizing Software Development

During AI software development, AI capacities prove to be crucial at increasing efficiency in software development functions. Developers are embracing these innovations as they realise the host of benefits they bring. AI and ML are pivotal in enabling young developers in learning the ropes and overall in empowering developers to detect and resolve bugs in their software. Besides, unlike developers, it’s not as if AI tools can make mistakes or get sidetracked while working on huge volumes of data. It’s no wonder then that developers all over the world are embracing AI tools to facilitate software development. 

 ML algorithms can help developers gain insights on user habits and then provide content accordingly by tweaking buttons, font size,screen size, as well as many other on-page components. This sort of customised and dynamic responses can take user experience to the next level and it also enables developers to implement suitable code modifications by analysing user interaction data in real-time.

Innovations in this category also offer programmers cloud IDEs, smooth deployment of software and intelligent development platforms.

Enable Programmers and Testers to Identify and Fix Bugs

Owing to artificial intelligence, programmers are able to write stronger code, identify bugs and resolve them in real time. Unlike in the past, today’s developers no longer faced bug-filled EXE files at the end of the day. Developers also benefit from the ease of leveraging particular ML algorithms to test the soundness of their software code. The objective of this endeavour is enhancing the sophistication of the verified program. Other than programmers, software testers are able to exploit AI capabilities to detect bugs in software solutions.

Because of increased advancements in AI, programmers and testers find it valuable to use AI-based tools that are equipped to automatically detect software flaws and fix the program.

Facilitating Deployment Activities

AI innovations also guarantee a drastic boost in the effectiveness of software deployment processes. When it comes to AI software development, deployment control takes into account the development stage where programmers enhance programs or applications to advanced levels. In scenarios where programmers are unable to implement this process efficiently, it is very likely that the software platform or application could fail. Through AI capabilities, software professionals get the chance to release updated versions of a program or application and not have to stress out about the possibility of deployment failure. Machine-learning algorithms can also be used to detect issues connected to deployment activities.

Intelligent Programming

When writing code, programmers may experience challenges such as code duplication or omission of certain parts of the code. Using AI software development solutions powered by machine-learning algorithms, they will no longer make mistakes when coding. These tools can help to identify simple coding mistakes. They also provide a programmer with a code editor that formats parts of the code based on the programming or methodology or language in use.

During the programming phase developers are likely to face issues like code errors, duplication and so on. With ML powered development tools programmers will be able to code without making errors as they can easily find out errors in the program before moving forward. These AI software development tools assist programmers with code prompts on the basis of the previously developed code written by users. Code Completion features in turn, allow businesses to speed up the product’s development.

Accurate Planning and Cost Estimation

Cost estimation and planning are vital aspects of the software development process. AI is being used to put forward a streamlined software development plan. For this you could factor in the initial condition of the company, outline the goal, and offer a list of prospective outcomes. Through this model, the AI software development solutions will work out different results and obstacles that not only enhance decision-making but also help businesses to carry out the requisite modifications as fast as possible.

Accurate planning can impact the software development process, as it allows businesses to handle their financial assets and create development roadmaps. You can use AI and ML-powered tools to ensure precise planning for efficient software development.

Seeing as AI is revolutionising the software development life cycle, have you started looking for an AI software development provider?