Artificial intelligence (AI) and automation stand at the vanguard of the future of work. While it’s impossible to predict with certainty how things will change, a few current trends and stats provide a good sense of where the future of AI and automation will take us. As evidenced by the recent interest in generative AI, companies want to experiment with how to reap deep benefits from automation technology.
Some consultant companies will not eliminate all the risks by offering an automagic solution (Perhaps a revolutionary testing tool). However, it could give better possibilities for applications to be evaluated in case of quality gaps and deliver accurate applications for the consumers. We see products/services failing before any launch or retiring a couple of months later.
Research has shown that 35% of companies find manual software testing to be the most time-consuming part of the software development life cycle. Because manual testing is so time consuming, test automation has been growing as a solid way to improve ROI. From reduced tester fatigue and greater productivity to a better product and faster time to market – building a robust test automation framework can add numerous benefits to your team.
Learn the best practices to follow when implementing a test automation suite.
Think you’re ready to start an automation initiative at your organization? Be careful how you choose to proceed. According to an Ernst and Young study, between 30% and 50% of all robotic process automation (RPA) projects end in failure. Yikes. Are those odds you can afford to gamble on?
As automation capabilities grow, so do the related use cases. It’s not surprising that 80% of executives think automation can be applied to any business decision, according to a Gartner survey. But as implementation becomes easier and automation adoption more prevalent, your organization can quickly lose control, with too many automation projects happening in silos.
