We’re working in lockstep with Google Workspace to build a robustly integrated and feature-rich visual workspace experience to help customers adopt Miro in hybrid environments, or as an alternative to whiteboarding in Jamboard. Bringing together the power of Google Workspace and Miro’s visual workspace for innovation ensures customers can seamlessly transition their work and can continue to create the next big thing.

In an era marked by rapid technological advancements, Artificial Intelligence (AI) and Machine Learning (ML) stand out as monumental game-changers. These aren't just fleeting tech trends. They actually represent a major shift in how businesses operate today. Rewind a few decades, and the business world was a realm dominated by manual processes, often leading to inefficiencies, delays, and human errors.

Over the last year, the impact of AI on customer service has been massive. Many customer experience applications and workflows can be optimised with AI – but not all AI solutions are tailored to customer experience.

The potential of AI has recently received a lot of attention in the field of workforce management. A new article or blog post on how AI is changing the way we work appears every day, making grand claims about increased productivity, accuracy, and a smarter workplace. But it can be challenging to distinguish fact from fantasy in the midst of all this excitement. So, what’s the real story behind AI in workforce management? How much of the hype is reflected in real-world applications?

Insurance industry is witnessing a significant transformation driven by advanced analytics. And with an increasing number of customers seeking personalized services and seamless experiences, insurers are under pressure to adapt. A recent study reveals that 68% of insurance customers expect their providers to offer tailored solutions, while 89% believe a smooth customer experience is crucial. Staying in sync with the transformation is a must for businesses in the insurance sector.

Few can deny the potential of AI to improve customer experience, but many remain hesitant to trust it. That’s why building customer confidence in AI remains one of the biggest challenges facing CX leaders today. The reasons are understandable: AI is powerful, very technical and can be difficult to understand. The name alone can spark fears of human obsolescence – or getting trapped in an endless loop with a chatbot that can’t help.