Sometimes, revolutions in technology are easy to understand, even the first time you hear about them. The smartphone — it’s a phone as powerful as a computer. Bluetooth — it’s a way to wirelessly connect your devices. The search engine — allows you to type a search query instead of digging through directories.
If you are a small business owner and are concerned about productivity, then you are not alone. The realities of modern technology have created a highly distracting environment for workers while making oversight more difficult for managers. A recent study found that 37 percent of employees constantly surf the internet while at work. That number may or may not surprise you based on your own experience.
The machine revolution has begun, artificial intelligence is here. The latest advancements in machine learning look to transform whole industries, redefining the workforce and in many instances replacing human interactions. Seemingly human chatbots, designed to make people happier in China elicit responses of love and friendship. Mark Zuckerberg wants one in his home, a personal AI butler likened to Marvel’s Jarvis; a being that would not only control home lighting and ambiance, it would also answer the door and recognize Mark’s friends.
As technology advances and systems become increasingly automated, the threat of cyber attacks becomes ever more serious. This is equally true for governments, large corporations and even smaller businesses. While hackers and cyber criminals have been around since the birth of the internet, society’s increasing dependence on technology has raised the stakes.
It’s easy to get confused by all the new technical jargon that seems to be constantly spilling out of our computer screens. By now, you’ve probably heard about big data as a service, machine learning, and now deep learning, but differentiating between them isn’t always the easiest thing to do. The temptation may even be to ignore them, but all of these terms are actually a pretty big deal.
Much effort and study has been expended to determine how a web site can better convert its visitors to paying customers. While there have been some rather profound successes in the marketplace, there still exists enough uncertainty for many business owners and web developers to hesitate before making a decision on how best to optimize their sites.
We have just lived through the greatest era of fake entrepreneurs. It was a second-wave dot-com boom that lasted five to six years, when money was so readily available (many have referred to it as the Age of the Unicorns) that it felt like anybody could get in on the “become-an-entrepreneur” game. People believed that raising several millions of dollars for a business meant that they were a successful entrepreneur.