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How is Artificial Intelligence (AI) changing software development? 

What’s Artificial Intelligence?

A little clarification 

What good comes with

Our experience

The case of image manipulation

The case of real-time recommendations

Final thoughts

As the world changes, new technologies are pushed through every day. Artificial intelligence is no longer a science fiction story. Machines fly above our heads, understand verbal commands, drive cars by themselves, recommend us to binge-watch, and distinguish pictures. In short, they make our lives easier by freeing us of many mundane jobs or helping us with complex tasks. With this continuous AI presence, we may say that we no longer have to wait for a better tomorrow – the future is here.

Most times, we don’t even pay attention to the fact that artificial intelligence is an inseparable part of our life. And its impact gets stronger every day. There are more and more AI projects in various industries. As we also got the chance to develop such a project, we decided to share our experience.

In this article, I’ll cover the definition of artificial intelligence, its advantages and how it’s used in our daily lives. Moreover, I’ll mention machine learning and deep learning, and lastly, I’ll talk about our projects.

What’s Artificial Intelligence?

AI refers to the simulation of human intelligence in machines. It includes learning, problem-solving, and perception. Now, there are two types of artificial intelligence, namely – weak AI and strong AI. The first one, also called narrow AI, is focused on performing one specific task. A strong AI or artificial general intelligence, on the other hand, is the ability to comprehend, learn, solve or choose to solve any intellectual tasks that a human being can. But while weak AI already exists in our lives daily, the idea of strong AI is purely hypothetical with no real-life examples as of today.

A little clarification 

Artificial intelligence, machine learning, deep learning – what’s the difference? You may be confused because often these 3 terms are used almost interchangeably. Let’s dive in the relationship between them and see how they differ.

  • Artificial intelligence refers to any technique that enables machines to imitate human behaviour. This includes thinking, learning, and problem-solving.
  • Machine learning is a subset of AI that can learn by itself. As it gets more data, it becomes better and better at performing specific tasks with time.
  • Deep learning is a subset of machine learning in which artificial neural networks adjust and learn from massive amounts of data.

What good comes with Artificial Intelligence

The term of artificial intelligence is often associated with risk and science fiction films, which couldn’t be further from the truth. In fact, in some industries, there are up and running for a very long time. Basing on that, it must have some benefits. So, what are they? Let’s take a closer look:

  • AI algorithms can be used across industries.
  • AI operates all day without breaks or interruption, which means we can focus on other matters, and the work will be done anyway. That being said, it also helps people in everyday chores at home.
  • AI facilitates the decision-making process and improves recommendation systems.
  • AI enables carrying out specific tasks and complex procedures without spending much time on it. This mitigates costs and makes the process more efficient.
  • AI algorithms process data faster and more accurate than humans, translating into fewer errors and improving data integrity.

Our experience with AI

As I mentioned before, we also developed a few projects in which we embedded artificial intelligence algorithms. Now, it’s time to talk about how AI helped us introduce innovative solutions and create unique digital products.

We always make sure that we fully understand the core of client’s business needs during the software development process by carrying out extensive research. Thanks to this, we’re able to adapt the project to market’s needs and reduce the number of changes at the end of the development. Also, we’re actively looking for solutions that best fit the project, and that will make it unique. Sometimes, one of such solutions is embedding AI algorithms.

The case of image manipulation

The first project was about the ability to create a slow-motion effect. The only issue was that if the video doesn’t have enough frames per second, you can’t slow it down well enough to achieve a smooth transition. A solution? Artificial intelligence. Or rather machine learning algorithms – a deep neural network that’s able to generate extra frames with multi-frame video interpolation. Sounds easy?

It took a lot of work – first we did the research, then we adapted the implementation to our needs and finally, we trained the artificial network to perform the given task. But all the effort paid off in the end. Ultimately, the user can make the video 2, 4 or 8 times slower than the original version. The transition brought about by deep learning is much more natural and smooth compared to a common app effect. That’s the benefit of embedding artificial intelligence algorithms into the project.

If you’re interested in the project’s details, read the Slowify case study.

The case of real-time recommendations

The second project was about a dropshipping platform with a goal to guide customers through the website and provide them with new options based on their preferences. For this, we used 2 recommendation system algorithms. So again, we utilized machine learning to get the best results. What we did is that we observed user interactions with given products. Depending on the customers’ interactions with the product, we ranked the items. Based on consumers’ interests, choices, behaviour, we generated interaction matrices – all this to see how individual users click on given products.

The data was later used in training the AI algorithms to search for similar items in the store. This allowed us to create a system offering users products that fit their preferences. Moreover, thanks to this system, the most popular products were sold as they were also the most clickable items. There were more interactions compared to others, which, in turn, rated them higher by algorithms. As with any other recommendation system algorithms – the more users and products, the better additional purchases we’re able to generate.

Read more about Takeshop, to get even more information about the benefits of artificial intelligence in ecommerce.

Final thoughts

I hope this blog post shed a little light on the subject of artificial intelligence and its impact on our lives. Of course, we only touched a surface of the big concept that’s AI, but surely many more articles will follow soon.

As you might have noticed, at Gorrion, we have experience in various industries and types of projects. Our team is a group of software specialists ready to go a long way to find the optimal solution.

We know that every excellent cooperation starts with a meeting. That’s why if you want to talk about implementing artificial intelligence in your app, don’t hesitate and contact us. Book a meeting with Mariusz, or send us a message. We’ll be happy to talk to you. Together, let’s turn your idea into reality. 


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