We all get those annoying little pop-ups from time to time, notifying us that there are software updates available for our computer. And chances are you get them at the most inopportune time, right in the middle of a project that’s too important to quit.
The perfect storm is brewing. It’s building no matter where you live or what you do. Geography no longer matters.
Instead, the perfect storm is being created by anything that has an on or off switch. If it can be connected to the Internet, or connected to something else, it has an impact.
Chances are your employees use smartphones and tablets in some capacity throughout their workday. What does it cost you as their employer?
According to a study by Ponemon Institute, more than you think. The study found that more than one in three mobile devices used in a business capacity contained sensitive data.
Steve Wozniak. Elon Musk. Stephen Hawking. The list reads like the Who’s Who of people at the top of their fields.
What do they all have in common? They all have a deep commitment to integrating artificial intelligence safely into our world. They’ve even signed a letter of commitment to prove it.
Where is your network server? What would happen to your data in the event of a disaster?
It’s not something we like to think about. Yet the news reminds us again and again of what is possible. A fire. A flood. Power loss. Even sabotage. A single disaster could wipe out your offices and your data center all at once.
How are you going to improve your practice in the coming year?
Because of how fast technology changes, it is estimated that 30 percent of all current EHR users will be interested in upgrading and replacing their current software as they look for more features, more convenience.
It’s a dilemma that faces business managers every day.
When they bring in a new hire, somewhere in the midst of the paperwork is a clause about the internal Bring Your Own Device (BYOD) policy. It gives the company the right to remotely wipe a lost or stolen phone or tablet, or to wipe any company related data at the moment an employee leaves.