The digital workplace is in a state of continuous evolution. What worked a year ago is no longer a priority and what is working now is already on its way out. What never changes in all this is the role of data and how to use it.

Netflix makes blockbusters you can watch at home, but it doesn’t want to wind up like Blockbuster.

Competition from major actors is getting intense. Netflix has already pivoted business models more than once. First, it got rid of late fees while sparing you the hustle of going to the video store. A post-office model was sufficient to take out Blockbuster and build up a customer base.

Establishing a strong, cohesive company culture has become a subject of great importance in the modern workplace. While doing this can be a challenge for any business, it can be especially tricky for tech teams with members who work remotely.

The upcoming Canadian election is the first test for new laws and social media policies, and while online activity suggests they’re being effective in curbing disinformation, experts are already warning that those seeking to manipulate the election or create chaos among voters have moved on to new tactics.

Slack is now worth about $23 billion after their amazingly successful listing on the New York Stock Exchange.

In 2007, Steve Ballmer, then Microsoft CEO, famously declared: “There’s no chance that the iPhone is going to get any significant market share. No chance.” Three years before, the technologist Jerry Kaplan said: "I wouldn’t be buying Google stock, and I don’t know anyone who would.”

The Ocean Medallion provides real-time CX to passengers on Princess Cruises. The technology enables vacationers to automatically open stateroom doors, locate companions and more.

“Smart cities”—in which technology continuously collects data to efficiently manage assets and resources—are on the horizon, and they will have a major impact not only on the way people live, but also on the way businesses function. From utilities to real estate, there are many industries that can benefit from smart city technology.

Some of the smartest people in the world are working on artificial intelligence (AI), but they’re running into a big problem: bias.

According to the McKinsey Global Institute, AI technology is prone to the same biases that humans, either consciously or unconsciously, weave into their perceptions of reality. Black American defendants in criminal cases are victims of machine bias based on the alleged risks they pose to society. One company using an algorithm to help them hire effectively found that it penalized applicants from women’s colleges.

With the speed at which new consumer technology is introduced, it’s hard to predict what the new trends will be in the next decade or so. There are a variety of predictions of what’s to come in consumer tech—some for updates to existing technology, some for ambitious revolutions—but what is actually realistic in the short term?