My Blog

An increasing number of companies today are using artificial intelligence to enhance employee experience, automate processes and reduce human error. The World Economic Forum Future of Jobs report 2020 indicated that 80% of business leaders were speeding up work process automation, with 50% planning to accelerate the automation of repetitive tasks in the workplace. Source: In Today’s Workplace, the Limitations of AI Are Increasingly Human

Whether it’s a pop-up that young singles in your area are looking to meet or a banner highlighting the different solutions to a problem you recently r… Source: Are You Prepared To Enter The OOH World Of Advertising?

The use of collaboration tools has accelerated over the last couple of years to the point where we now have more collaboration platforms than we know what to do with. In some ways, the proliferation of these tools is fantastic, as I can now work from home and collaborate with colleagues all around the world. But I’d already been doing that for decades: I’ve worked from home for almost half my career as part of a globally distributed team or as a manager of remote teams. The modern platforms have made working in this way a lot easier to do, which brings me back to my original question: Just because we can, should we? Source: Just Because You Can Collaborate Doesn’t Mean You Always Should

The remote work environment has proven to be a positive experience for many employees. In fact, the increased flexibility afforded to remote employees has even led to some choosing to leave full-time employment and seek more independence. The so-called Great Resignation and the legions of people leaving their jobs in search of new ones has further fueled the gig economy. Source: 3 Ways Gig Workers Can Support Your Workforce Strategy

We’ve seen some awesome geeky knives, so it makes sense that we look at geeky cutting boards today. After all, you can’t use those knives (or any knife for that matter) on something as ordinary as a kitchen counter. Here are five geeky cutting boards that must be in everyone’s kitchen. Source: 5 Geeky Cutting Boards You Need in the Kitchen

The role of legacy technologies in the remote and hybrid workplace is often overlooked in the rush to introduce new technologies. One of the most widely used and deployed technologies over the past 20 years has been document management systems. While investment and spending on technologies is largely focused on the cloud or communications and collaboration platforms and apps, we have seen over the years that investment in document management is still substantial. Source: Why Good Document Management Systems Are Still Key to Enterprise Success

Now that the initial effects of pandemic on work are waning, many employees previously hesitant to quit their jobs are now doing so, resulting in what has become known as the Great Resignation. As a result of fewer employees in general and more employees working remotely, companies have attempted to automate as many processes as possible and turned to robotic process automation (RPA). Source: How Robotic Process Automation Improves Employee Experience

Fortune estimated that the company lost almost $100 million in revenue during the outage. As individuals and businesses around the world clamored to understand what went wrong, many began to realize that if one of the largest platforms in the world could go down, the same could happen to their business. Source: The Lessons Remote Work Leaders Should Learn From Facebook’s Service Outage

Internal communications has proved its worth during the pandemic, and many (but sadly not all) comms teams are riding high. Where it’s possible, teams are now turning their attention to the road ahead, a road filled with an unprecedented degree of comms complexity. With the arrival of Microsoft 365, Workplace by Facebook, Slack and a whole crop of employee apps, we now have more internal comms channels not less. What’s needed is a clear way forward. Source: A Digital Maturity Model for Internal Communications

Small Data Is Not New According to Bryan Philips Cupertino, Calif.-based In Motion head of marketing, small data is the opposite of big data. It is a term that describes data sets with fewer than 1,000 rows or columns. The term was coined in 2011 by researchers at IBM to describe datasets that are too small for traditional statistical methods. In contrast to big data, small datasets can be analyzed using estimation. Examples of small datasets include customer transactions, social media posts, and individual genome sequences. Source: Why It Might Be Time To Start Looking at Small Data