Technology is rapidly evolving — and so are many Internal Communication teams, which are leveraging innovations from generative AI to virtual assistance to increase productivity and magnify the impact of their work.

Measuring employee productivity is a critical part of today’s competitive business landscape. It’s a tool that empowers managers and business leaders to optimize growth cycles, manage performance culture during stressed periods, and understand how effectively their employees are working. Providing a roadmap to improve performance also empowers managers to enhance their performance management skills.

Efficient time management is essential for maximizing productivity and achieving project success. One method gaining increasing popularity is agile time tracking. This practice enhances traditional methods, offering dynamic solutions for modern teams. In this comprehensive guide, we’ll delve into the complexities of agile practices, providing actionable insights and best practices to unlock your team’s full potential.

To improve things in the modern business environment, it’s important to understand what motivates and keeps employees. Companies can’t say enough about how important it is to have employees who are driven and dedicated to the business’s success, especially when it comes to new ideas and competition. This blog post discusses why employee engagement is important, how it affects retention, and gives businesses useful tips for making their staff loyal and helpful.

Managers can stroll around cubicles and in offices to observe what employees are working on and ask for progress reports. They can also spot physical cues of unproductivity, like absent-mindedness or task aversion. Remote managers, on the other hand, have the unique opportunity to harness trust and technology to determine whether employees are working. This technological empowerment allows them to manage their remote teams, even without physical proximity, effectively.

When you envision “automation,” what comes to mind? For many people, it's images of large automotive assembly lines. Deploying robotic arms and other modern marvels, these manufacturing facilities are monuments to the power of automation. However, the real automation revolution today happens outside the manufacturing floor. In offices around the world, automation software is transforming knowledge work—particularly solutions that incorporate artificial intelligence (AI).

Diana Larsen is an international authority in Agile software development, leadership, and transformations. She’s also the co-author of Agile Retrospectives: Making Good Teams Great, Liftoff: Start and Sustain Successful Agile Teams, and The Five Rules of Accelerated Learning. Her most recent book, Lead Without Blame, is particularly relevant now, as it addresses the crucial need for enterprises to build resilient teams in today’s increasingly competitive and challenging landscape.

Data is the lifeblood of success in today's dynamic business landscape. Financial records, customer information, intellectual property - these digital assets are crucial for competition and they demand robust protection. While the digital age has introduced conveniences in the form of blurred geographical boundaries so businesses can operate globally, new security challenges have cropped up that must be tackled.

Developments in Generative Artificial Intelligence (GenAI) have had a huge impact on content creation, innovation, and collaboration. Everything from creating text, images, and videos, to sorting unstructured information, and generating or analyzing software code are easy to accomplish with the help of GenAI. But what can GenAI do when it comes to security?