Teams | Collaboration | Customer Service | Project Management

“Everyone is a genius. But if you judge a fish by its ability to climb a tree, it will live its whole life believing that it is stupid.” This quote, commonly attributed to Einstein, captures how each person has unique superpowers that, when cultivated, can unleash their full potential. In a similar way, when companies embrace a diversity of thought, skills, and perspectives among team members, innovation flourishes.

Feeling stressed about the need to migrate from Workplace by Meta to another platform? Understandable. Finding the right fit for your organization is a BIG decision because your employee communications and experience platform impacts productivity, operational efficiency and more. We’re here to help with specifics on five use cases to consider for a smooth transition.

The demise of Workplace by Meta marks the latest casualty for enterprise social networking — a trend that’s time has passed. Organizations are now turning to all-in-one, employee communications and experience platforms powered by artificial intelligence (AI) to keep employees connected, informed and productive.

The way we collaborate is going through a massive transformation. Already, there are many ways teams can use artificial intelligence to work together more effectively; as we move further into the future, it seems all but inevitable that the technology will have an even more profound impact on collaboration. While the emergence of AI-powered collaboration capabilities is no doubt exciting, organizations need to figure out how to balance innovative functionality with data sovereignty and security.

What if we told you listening wasn’t as simple as, well, just listening? In fact, different types of listening go beyond learning—you can also listen to improve your relationships, deepen your connections, and build trust. In this article, we’ll walk you through the different types of listening and show you how active listening can help you listen to understand—not just respond.

Should your boss use AI to measure your performance? Should all knowledge workers become prompt engineers? Dr. Li answers our pressing questions about the future of AI.