Customer care organizations are facing the disruptions of an AI-enabled future, and gen AI is already impacting customer care organizations across use cases like agent co-pilots, summarizing calls and deriving insights, creating chatbots and more. In this blog post, we dive deep into these use cases and their business and operational impact. Then we show a demo of a call center app based on gen AI that you can follow along.

New legislation affirms the governance and security responsibilities of all organizations doing business in the EU.

Today’s AI may be able to pass the Turing test, but I think we can all agree that doesn’t make it human. AI is a tool—a powerful one, but a tool nonetheless. And just like any tool, it can make our work easier, but it can’t do it for us.

With the explosion of artificial intelligence (AI), innovative companies are harnessing enterprise AI at scale for a variety of business use cases, including repetitive task automation, product and service development, supply chain management, customer service operations, decision-making systems, and more.

The software testing landscape, while crucial for ensuring application quality, has grappled with limitations in traditional methods for decades. This article explores how Artificial Intelligence (AI) is emerging as a game-changer, addressing these challenges and augmenting the capabilities of testers. By combining advanced machine learning, deep learning, natural language processing, and other techniques, AI offers a powerful toolkit to propel software testing into a new era.