The artificial intelligence impact is profound! From voice assistants, customer service agents, and decentralized finance, to recommendation algorithms and advancements in healthcare, e-commerce, and agriculture, AI surrounds us. But here’s the big question: Will AI empower us to achieve greater heights in technology, or will it limit our potential? 

Ever wondered how digital assistants like Alexa, Cortana, Google Assistant, and Siri understand and respond to our commands? Want to build an app that listens to your voice? With the Web Speech API, it is possible. 

The use of AI in Quality Assurance has gained significant traction. It’s no longer a niche concept; it’s become mainstream. However, what remains is the fact that quality assurance (QA) plays a crucial role in ensuring the reliability and performance of products and services. It’s never quality vs accuracy but making sure both these concepts go hand-in-hand.

Artificial intelligence has witnessed many periods of hype, but even skeptics are left awestruck by the release of ChatGPT and it’s potential. In 2024, businesses and developers alike are increasingly drawn to the possibilities offered by Generative AI applications. But what exactly is Generative AI, and why is it capturing the attention of innovators worldwide?

The AI market growth rate in the United States from 2021 to 2030 is projected to soar, reshaping our daily routines, workplaces, and approaches to complex challenges.

How do we learn to trust AI? We’ve started depending on Artificial Intelligence but as reliance grows, so does vulnerability. AI's influence is undeniable. But trust? That's a journey, not just a destination.

We’re back with How Artificial Intelligence Is Impacting Quality Assurance Roles: Part 2! Part 1 of our blog series showed AI's influence on test automation roles, machine learning's test creation, predictive analysis in QA, AI-powered exploratory testing, and AI's influence on user experience. 

At the core of technological reliability, Quality Assurance (QA) has long been an imperative in releasing error-free software. With the rise of Artificial Intelligence (AI) in QA, we're witnessing a dramatic transformation that boosts both the precision and the speed of these processes. "How does AI redefine the roles within QA?" you might wonder. 

In the bustling digital bazaar of e-commerce, where connections are currency and customer joy is king, Artificial Intelligence (AI) is not just a convenience—it's a necessity. 

Quality Assurance always needs to meet the highest standards! While traditional Software Quality Assurance (SQA) processes have always been reliable, keeping pace with the complexities of modern software was a challenge. AI came as a savior, reshaping the very foundations of SQA. Here’s everything you need to know about integrating AI into SQA processes!