Artificial Intelligence has transformed the digital landscape through its widespread application in software development and programming. The outcomes of this new age revolution is underpinned by accelerating enterprise level changes in the digital ecosystem. Businesses will need to reinvent themselves to cope up with the new paradigm that is set to democratize development of software, coding for delivering customized products and services across the digital value chain. Let’s look at some of the ways by which AI will reshape software development.

The rising demand for custom software has led to the development of AI powered tools that shorten the software life cycle delivering best in class quality assurance standards. Businesses are leveraging AI powered software for design, develop and deploy software at a faster rate with cheaper cost. Traditional methods of coding and development are replaced by new trends like usage of open source. Open source software would result in reducing the cost of coding, with better reliability that can help in detecting bugs and security threats and vulnerabilities. This does not mean that programmers would be replaced by AI. On the contrary AI would help project managers, coding specialists, programmers and testers to become more productive by unleashing their creativity for delivering strategic problem solving solutions by writing better code. AI enabled software apps like Tara, Kite etc provide Autocomplete functionality for better speed and accuracy in software development.

While compiling a software program whenever an error is identified in a software the developer needs to check and investigate the details for troubleshooting. This is a time consuming process which could result in project delays and inefficiencies. AI helps in automated error tracking that can automatically detect, diagnose and fix software errors without intervention from developers. Abnormalities and deviations caused due to bugs, missing codes and misclassifications can be predicted with the help of AI and machine learning algorithms. It also helps in acting as a predictive and preventive tool by recommending a series of steps which can be carried out for checking recurrence in future by searching through databases.

AI technology brings about a cultural shift in the way the C level leaders are taking critical decisions. It helps in shedding unconscious bias and provides valuable insights for the business leaders to take informed and intelligent decisions based on data analytics and machine learning. AI also helps to connect developers to real time feedback of customers by leveraging on machine learning algorithms. This helps in understanding client behavior and helps in building predictive customer trends and patterns based on real time user interaction data for increasing topline growth and profitability. Fully automated software testing provided by AI helps in better turn-around time, enhanced efficiency through image based machine learning and differential testing. AI also helps in better project planning and helps in providing accurate software development estimates by preventing scope creeps and streamlining project timelines.

Conclusion
We at Xforia Technologies have a dedicated team of professionals capable of delivering state of the art solutions through AI and machine learning for delivering competitive advantage through digital innovation and enterprise.