There are many ways how utilizing AI and Big Data can make software development easier for companies and coders, and that’s why many businesses are using them in their development process.
Big data and artificial intelligence come as a dynamic duo in the software development process — AI can make all the gathered information usable and translate it into valuable insights. To visualize this for you, think of AI as the super rocket and big data as its fuel.
Benefits of Big Data in Software Development
Today, businesses deal with an enormous amount of data they can utilize for growth and innovation — regardless of the industry we’re talking about. And as the volume of data grows, efficient analysis and utilization of it becomes a company’s top priority. On the other hand, using big data doesn’t come without its share of challenges, and one of the most challenging aspects is incorporating big data methodologies into their development processes and practices. But, although challenging, for many companies this has proven to be a very rewarding move.
Proper software development architecture can help you successfully utilize data. Data-driven development is based on structured big data reports — it can simplify the whole process of software development and minimize modification costs. In addition to that, big data can also provide efficiency and accuracy in the agile development process.
Using Big Data analytics in software development process can help you:
- Analyze which processes work for your business and which doesn’t
- Optimize your company’s resources and business performance
- Reduce expenses in software development
- Strategize the process of software development
- Develop a product tailored perfectly for your users
- Minimize risk and additional modification costs
- Increase productivity in a business
- Improve customer service and user experience
While many organizations have just started to think about leveraging data available to them, Netflix is changing its game by using data processing software and traditional business intelligence tools to process massive amounts of information. By leveraging big data, Netflix engages more than 90% of its users with its original content, which results in Netflix renewing 93% of its original shows. That, compared to the rest of the TV industry where only 35% of shows are renewed past their first season, is an enormous growth. Netflix also uses data to enhance the user experience (their user base currently counts over 182 million subscribers).
Benefits of AI in Software Development
When it comes to software development processes, it is extremely important to focus on the problems that need to be solved and to predict all the possible obstacles that can occur during that process — that’s when AI can help both companies and coders.
AI practically became mainstream as it enables us to make sense out of enormous amounts of data in real time.
Most common AI functionalities in software development are automation of manual tasks and enabling machines to make decisions. Deployment and development automation can increase the efficiency and reliability of software creation, and machines can balance computer power and service loads. AI can also improve the accuracy of estimates, as it can analyze historical data from previous projects, learn from past mistakes, and find correlations and statistics to estimate the cost, time and effort for upcoming projects. This can help both the engineering teams and businesses not only to minimize the risks and maximize the impact and efficiency, but also to reduce both cost and time.
As a result of constant growth of artificial intelligence, software developers can now use AI to write and review code, as well as detect bugs and optimize processes for many projects. When bug detection is quick and accurate, software is more likely to work better.
Additionally, intelligent programming assistants, such as Kite for Python and Codota for Java, can reduce the time spent on reading documentation and debugging code, which can help developers focus on the quality of their code and their development. There are also AI design assistants that can make selections from millions of combinations to create a website style, focus, image and more… that are customized for the user in only a couple of minutes.
Main benefits of using AI in custom software development:
- Acceleration of the traditional software development life cycle (SDLC)
- Strategic decision-making and faster prototyping
- Easier control of data security
- Deployment control and development automation
- Improvement in estimate accuracy
- Automation of customers’ reactions to establish patterns
- AI-powered tools help identify flaws and fix code errors automatically
- Improved quality in the end product
Google alone currently has over 12 AI projects powering their products that we use on a daily basis. Smart assistants, image recognition, Google Maps’ driving mode and Gmail smart reply are just some of them — and they make our lives significantly easier. They also use AI to create custom emojis and even allow their users to turn their friends into memes, which is obviously a thing now.
Big data and AI can help your business stay competitive
Big data and AI are a dream team — AI can help you analyze and make sense out of massive chunks of data, and when this is paired with the development of custom software, business efficiency and productivity can massively increase.
There’s no doubt that the global market for custom software and app development services will grow massively in the next couple of years, so using big data and AI will enable you to automate most of the previously manual processes, save both money and time, and help developers focus on their new skills and professional improvement.
Predictions say that by 2025, approximately 463 exabytes of data will be created every 24 hours worldwide — and every byte can be used to generate value. Embrace the power of big data and AI, and implement it into the DNA of your business process to remain competitive in an increasingly digital age.
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