The idea of AI tool development seems quite plausible for any business or project. But before finalizing the AI tool, it is important to approach the idea in the right way.

In this article, we will explain the answers to the following questions:

• What are the tips for developing a profitable AI product?
• How do you develop an AI product?
• Why should we develop an AI product?
• Which training can be taken during the AI product creation phase?
• Which events/webinars can we attend during the AI product creation phase?
• What are the success stories of AI products?

How to Develop an AI Product?

If you want to develop AI for startups, you need to go about it the right way. We recommend starting by identifying the actual problem you want to solve. Then, you should work on how your AI solution will solve this problem.

When you have finished working on these issues, you can start using one of the low-code or no-code platforms. This will enable you to develop your first AI product. You can easily produce artificial intelligence models with these platforms that allow you to quickly overcome the coding barrier in the light of historical data.

Source data is crucial for developing a profitable AI product. To train your AI model, you will need to feed it with the right types of data. On the other hand, it is extremely important that the data is accurate and reliable.

Afterwards, you should build a prototype of your AI model and prepare various instructions for it to process the data and make appropriate predictions. Once you have checked the function of the tool and developed it, it’s time to market it.

So, do you want to know how to market your AI tool? At this step, you need to educate yourself about the AI tool launch process.

Why Develop an Artificial Intelligence Product?

Important information for beginners about developing AI tools and why it’s a good idea:

It’s a huge market

The size of the AI market is approaching 180 billion dollars. So, there is a huge opportunity and great potential in AI. 

Investments in AI products are decreasing compared to previous years. However, the AI market is still huge and tasty.

Demand is growing

B2B SaaS products are in high demand as they are skilled in all corners of business. Nowadays, we can get AI support in many areas, such as identifying customer needs and testing products. 

This means you can address the needs of many brands with your product. With good market research, you can find a gap in the market to fill in. 

However, not only B2B, but you can also address the last users directly and focus on B2C. Everyone uses AI for some reason. If it’s not for making life easier, it’s to make it more fun.

It’s not very expensive to build an AI product

AI products solve many problems quickly and don’t cost much. It may even be possible to create an AI product at a cost of around 5000 dollars.

This cost advantage shows that developing an AI product can be a very budget-friendly business.

The importance of data is growing

We live in a time when data is very important, and AI is very fast and successful in analyzing data. In other words, AI solutions are needed in every field where data is used. 

Training on Creating an AI Product

As in every field, getting an education in the field of artificial intelligence product production will help you progress professionally. It is possible to receive many trainings within universities, other educational institutions and online education platforms.

Let’s examine some of the trainings where you can get information about the AI tool development roadmap:

Coursera – IBM AI Product Manager Professional

The IBM AI Product Manager Professional certificate program, developed in collaboration with Coursera and IBM, is ideal for those who want to master the craft. If you want to pursue a career in AI product management, you can learn the basic skills with this program.

Of course, since it is an online program, you can attend the classes from anywhere you have internet access. Suitable for the entry-level, the program requires you to do case studies to reinforce what you know. The duration of the certificate program is approximately 6 months, and you can pre-register for free.

Maven – AI Product Management Bootcamp

Designed by Dr. Marily Nika, an expert in artificial intelligence, this certificate program is ideal for those interested in AI product management and those who are starting from scratch.

The program covers 12 hours of training on machine learning, natural language processing, and many other topics and costs about $700. You can find a lot of training on AI and machine learning on the platform called Maven.

Stanford Online – Mastering Generative AI for Product Innovation

Your goal might be to design AI tools for startups on a budget, or maybe you’re looking for a prestigious course to build tools for multiple brands.

Mastering Generative AI for Product Innovation, which is about 10-12 hours of training, is a great option for finding your way around AI. Stanford Online’s course will help you in the process of designing an AI tool. Instructors include experts such as Aditya Challapally and Edison Tse.

The course costs $995, and you have 60 days from enrollment to get certified. You can finish the courses at any time during these 60 days.

Activities Related to AI Product Creation

As the AI sector continues to evolve, events on this topic have also started to develop and become widespread. We have compiled some of the most important AI events for you:

• AI Summit New York: Centered around AI and machine learning technologies, this event brings together investors and technology leaders. You can also meet people interested in topics such as cost-effective AI tool development.
• Neural Information Processing Systems Conference: NeurIPS is a highly prestigious academic conference on artificial intelligence. This event, where you can meet AI researchers, can help you find new ideas in the process of designing AI, from prototype to product AI.
• Computer Vision and Pattern Recognition Conference: CVPR 2024 is an event where both academic and industry developments in AI are discussed. At this professional event, you can learn about algorithm discoveries from data experts and find new perspectives to improve your tool.

Exemplary Success Stories in AI

Let’s examine some success stories of people who have achieved incredible things with great AI products. This will help you find inspiration for your own AI products built with minimal resources.

KLM

KLM Royal Dutch Airlines used AI technology to simplify customer processes such as ticket booking and confirmation processes. The pioneering airline also increased customer satisfaction levels thanks to AI.

Twiggle

Twiggle realized that irrelevant results on e-commerce websites were frustrating for customers and developed an AI-powered search engine. So, on large e-commerce sites, customers can see the products they need and are interested in. This means that every e-commerce website needs Twiggle.

Amazon

Amazon, which uses artificial intelligence technology very efficiently, uses artificial intelligence-supported cameras and sensors in the market it opened in the USA. Thus, the brand is able to examine and analyze which product customers are gravitating towards in which aisle. 

The Amazon e-commerce website has also achieved very efficient results with the help of many AI tools.

It’s a great time to step into AI product development without fear. Follow the minimal resource AI development, analyze the problem and come up with a solution. Speed, which is considered the most important requirement of human beings today, is the most popular advantage of artificial intelligence.