6 Ways AI is Contributing to Software Development

Technology, in many cases, has become a lot about automation, which is now powered by machine intelligence and data. Artificial intelligence is revolutionizing how we perceive the business world, especially when it comes to its contribution to the software development sector. So much so, AI is expected to experience a growth surge of 37.3% in the next seven years. With such impressive growth patterns, AI is making our life easier.

Artificial intelligence, in simpler terms, means the capability of an artificial machine to act and think like a human. In other words, this technology is giving life to machines with unimaginable parameters. Even the sky is not the limit as we have seen in AI-powered satellites.  

The implementation of AI, along with solutions like Docker Hub, Amazon Elastic Container Registry (ECR), Red Hat Quay, Azure Container Registry, and Google Container Registry are opening up new opportunities for more secure, faster, and reliable software development.

artificial intelligence

The latest trends in AI are more inclined towards neural networks, thus introducing a new category of machine learning, known as deep learning. Besides, AI is benefiting every industry as we are close to achieving level 5 automation for vehicles. The innovation is not just limited to the automobile industry; AI’s future looks very promising in the software development field. Therefore, with the assistance of AI technology, we are looking at software that is completely automated at almost every stage, if not all, accelerating the speed of every action, and providing the best user experience.

Role of AI in Software Development:

SaaS giants like YouTube, Netflix, Amazon Prime, etc. use Artificial Intelligence widely to cater to the growing needs of customers and provide exceptional services. With the recent shift toward AI in software development, let’s see some ways through which artificial intelligence can help you in developing amazing software.

1.      Improved User Experience:

Every software should offer a platform where its users can communicate queries. This is why, AI-powered platforms (AI Chatbots) are trending to provide a top-notch quality experience to users. Over these platforms, users get instant replies to every query.

For this reason, now most customer service websites implement chatbots to make the user experience hassle-free. Additionally, AI-powered intelligent voice assistants like Alexa and Siri have also been helping users to perform various activities.

2.      Accelerated Development:

Machine learning and deep learning techniques facilitate development teams in reducing many software development and testing processes. This means you no longer need to test everything or write any code from scratch manually. Instead, the AI would test the software automatically or generate code at many stages of the development cycle.

3.      Enhanced Security and Privacy:

Cybersecurity is a potential threat for many businesses. However, with the help of stronger deep-learning models, we can identify these threats. AI can assist you in improving software security by allowing access to only verified individuals. Moreover, different levels of access are provided to different users as defined by the admin to ensure privacy. The banking and finance sector uses AI to secure customer data and ensures privacy because cyber-attacks, data breaches, and other vulnerabilities can put the entire business at risk.

4.      Recommender System:

For all video streaming and music screening services, the recommender system is a game changer. If you want to increase user-stay on time and boost their user experience then a recommender system will help a lot because it works by understanding what the user wants. The recommender system analyzes users’ interests and suggests the next best option for them.

5.      Error Elimination:

AI can assist you in identifying, diagnosing, and treating an error. Moreover, this is done without human intervention, reducing maintenance costs. AI uses reinforcement learning to manage errors and the machine is retrained to prevent the same errors. This means an error that is identified will be eliminated forever.

6.      Decision-Making and Time Estimation:

Decision-making is another interesting ability of AI. Yet, the system needs defined criteria and constraints; under those restraints, AI makes the most suitable decision. With the help of various regression models, the estimated time and cost for the current project can be easily estimated. Also, if developers need help with advanced services then unsupervised and supervised learning algorithms can provide great assistance.

The scope of AI in software development is expanding to a huge extent. This is the reason why a majority of businesses are investing in AI globally. AI doesn’t just help in software development but makes the deployment process a lot more cost-effective and efficient as well, reducing the manual load on development teams and allowing them to build more robust products.