The IT sector is in its era of “modernisation”, this phase is rightly justified when we dive deep into the wonders of technology and the pace of regular upgradation that can be seen.
One such tool that has shaped the landscape of technology recently is Artificial Intelligence, the vast concept of this tool and the advantages it has to offer can be overwhelming if aimed to be described in a few words.
But what can you expect from AI in terms of software development is a question we aim on answering in this blog. But first as we always say, knowing the basics and the characteristics that surround any technology should be understood.
In this AI software development guide, we will cover the benefits of Artificial Intelligence and how developing an AI software for your business can take you the success you have always desired for. Hold on to your seats, as this journey will blow your minds!
What is AI Software Development ?
We understand that if you are a startup or even an ongoing business, preparing for the future is a wholesome and time-taking task but, the most important thing, it requires deep analysis of the market and the competitors in it.
Let me refer to AI software development as a solution to your business related problems. Artificial Intelligence software development refers to the process of building an application that mimics human competencies or is capable of intelligent behaviour.
Intelligent behaviour involves AI software development that is capable of learning, analysing data on the basis of it and is based on a problem solving algorithm.
According to AI Software Development Trends, the market is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.
How AI software development can be beneficial for your business and how it is capable of catering to specific needs are the factors that you need to be well aware of before you decide on launching your next web application.
Benefits of AI Software Development
AI software development can be a game changer for your startup, now what makes this technology so attractive and reliable can be mapped out by the benefits it has to offer. Some of them are listed below.
- Improved productivity – Any agency or business wants to deliver more without compromising the quality of its work, an AI software takes away the burdensome task of processing data and allows you to focus on your core operations. AI has brought advancements to the process of dealing with complex data and has led to increased productivity by creating new opportunities.
- Seamless User experience – A product or an application is built with the ultimate aim of satisfying the user and the target experience, an AI software focuses on providing personalised solutions that are precisely aligned with your needs. It takes data from you, processes it and voila, you are served with a solution exactly the way you wanted it to be.
- Data Processing – In order to process complex data, a dedicated stack of developers need to invest a lot of time and effort, hence AI acts as a blessing in disguise, wherein an AI software is capable of handling a huge amount of data efficiently and prompts quicker solutions for you.
- Improved decision making – While working with a team requires commitment and dedication towards every individual, deciding upon a consented decision can be quiet time taking and sometimes may be biased. On the other hand an AI software learns from you and generates answers that are totally unbiased and tightly aligned with the client’s needs.
- Explore Opportunities – The deep analytical algorithm of an AI software makes it capable of processing data in a way that it is able to help you with areas of improvement and presents solutions that are helpful for the future arrangements as well.
Tools Used for AI software Development
Apart from hiring AI developers for startups, it is also important that they are playing with the best available tool in the market. This will ensure that the methodology being used is time saving and cost effective. Some best tools to develop AI software are listed below.
- Stepsize AI – A time saving tool that can accelerate the speed of your work by presenting reports faster than it is humanly possible. Platforms like Jira or Linear support this tool.
The AI extracts the data provided by you and creates a link between multiple tasks and projects thus making your path steer clear for working efficiently. - Code AI – Creating and writing a code for any developer is a very crucial part of the application, this burden of performing this task is diminished by using Code AI. This app is perfect for writing codes and generating files through natural language processing, basically acting as language translator for codes.
- Tabnine – This application has diverse features that can make the app development process quicker and reliable. Tabnine is known for its capability to act as code assistor, hence can be called as a helping friend for any developer. Another worth appreciating feature of this tool is that it generates complaint data and aligns itself to the standard security protocols.
- Mutable AI – How swifty it can improve the time required for developing an AI makes this tool so eye-catchy. It ensures better and faster code delivery by eliminating the need to search repeatedly and saves you the time of re-writing a code by assisting you with code suggestions. The high tech features of this tool sets it unique from other tools.
- Codium AI – Writing a code is just not enough, but writing it perfectly without any bugs and errors is something that makes a difference. This tool suggests multiple tests during the coding phase and helps with effective code changes, thus saving the effort of going through potential changes later.
How to Develop an AI Software: Step by Step Process
Several times in this blog, we have highlighted the importance of AI software development and how it can bring potential changes in your journey.
As suggested in the Forbes advisory survey, A significant 64% of businesses believe that artificial intelligence increases their overall productivity. This demonstrates the growing confidence in AI’s potential to transform business operations.However, knowing the right way to build a software like this is crucial. Don’t worry we have got that covered for you, below is a systematic process of how to build AI for startups?
1. Identify the problem
The very first step is to make your business goals and requirements clear and understandable. This will help you to map out your concerns and identify the problem you expect to be solved using AI.
Let us tell you why this step is of utmost importance as this stage will guide the entire working of the project. Therefore setting up a clear objective for which AI should be used should be figured out on priority.
Apart from this it will help you to choose the best suitable AI technology for your project, to have better decision making, conduct meetings and gather feedback from those who are gonna be a part of your development journey.
2. Assembling Data
As it is a well known fact that AI learns from the data you provide, thus presenting accurate and reliable data becomes crucial. It is important to understand that by reliable data we mean data with relevant facts that directly addresses your problem.
Another thing to be taken care while gathering data is to ensure that it does not have duplicates or correcting facts as it can directly affect the AI performance.
3. Choosing the right tool
In this stage you will have to encounter various platforms and choosing the best suitable platform for your project will be guided by the nature and size of the project.
A brief overview and difference between custom AI development and cloud based AI model is presented below.
- Custom AI Software development – Joining hands with a software development company to build custom AI is advisable as you will need a team of developers who have understanding of machine learning algorithms and data sciences. However this approach is suitable when you desire to have specific features in your AI.
- Cloud based AI model – This is comparatively an easier approach of building an AI as a cloud model can be selected from providers like Google Cloud Vision, you can simply use their API to add AI features to your application.The need to understand and process complex data is eliminated by this approach. Huge number of features can be integrated in your application with minimal setups.
4. Train the AI model
After choosing the right AI technology and gathering relevant data you are required to build and train the AI model.
- Custom Model – The model architecture of your AI software will play a valuable part in its performance. Ensure that you are preparing your model with a deep learning framework. After choosing this, your model should be trained, data will be fed to the model and necessary predictions will be made. The capability of your model can be assessed by taking tests and ensuring that data is refurbished until results are satisfactory.
- Pre Trained Cloud based model – These cloud based models when integrated with your application will bring unique features with itself, they will be trained already to tackle multiple tasks simultaneously.
All you have to do is customise the model according to your project specifications.
After this step, configure the parameters that are required for training the model and initiate the process, your AI will learn what you provide in this stage. By tightly monitoring the process, you will be well aware of the areas of scope and adjustments can be done accordingly.
5. Establish the AI Solution
Integrating AI in a defined manner into your existing application or any new application is very crucial. Your selected model architecture should be competent with the software selection. The infrastructure should be sorted out thoroughly so that your AI is capable of assessing all the relevant resources, for instance computer storage and power connectivity.
By observing the model’s performance regularly you will get to know about its efficiency and ensure that it is meeting the user’s expectations.
Evolve the AI model continuously
The real world conditions are not stagnant, there is improvement and evolution every single day, this can make your AI less efficient over time. Thus it is important that your AI is modified with an updated version of data so that its performance is enhanced regularly and it does not become less reliable for users.
Also considering the changes in the regulations, make sure that your AI complies with data regulations and goes through transparent decision making.
Final Take
Developing an AI may seem to be an overwhelming process, however its results have proven to be rewarding over the recent years. 70% of businesses are willing to pay more for a solution that includes AI or automation tools.
However partnering with an experienced software development company can add a valuable contribution to your AI Software development journey, connecting with an expertise time will help you to overcome potential challenges without maximising expenditure, hence prioritising cost effectiveness.
CyanicLab, with an experience of over 6 years with AI Software development aims in staying ahead of the competitor by analysing market trends and achieving your demand in a strategic manner, whether you are someone who wants to develop an AI – powered software or integrate AI into an existing product, we are here to help!