Anuj Shrivastava, working as Solution Engineer at iauro systems Pvt Ltd. With over 5+ years of experience in the SaaS industry, he is responsible for consulting technology solutions based on customers’/ prospects’ business requirements on technologies such as Open Source, Cloud native.
Impact of Artificial Intelligence in Software Development Life Cycle
In today’s fast changing tech savvy world, intense competition drives the need to change strategy quickly, and unprecedented events—such as the COVID-19 pandemic, natural disasters etc can require thousands of employees to shift working patterns at a moment’s notice. In the face of this, enterprises are forced to look closely at their capabilities and processes to understand what will help or hinder their adaptability and innovation. While it may not be the solution for all, agile techniques present a powerful opportunity if the conditions are right, especially in the growing area of artificial intelligence (AI) and advanced analytics. Those enterprises that harness agile techniques are strongly positioned to reap the rewards in scaling AI: faster speed-to-market, quicker value realization, competitive advantage, the ability to ‘fail fast’ and course-correct, and better collaboration across the business.
