Most successful businesses don't succeed by being the first to invent a new way of doing things. They succeed by taking systems that already work and putting them to use for their particular needs. In the world of business technology, trying to be unique is usually a fast track to wasting money and facing technical headaches.
Directive Blogs
How frustrating is it when your computer just doesn’t want to cooperate, whether it takes its sweet time starting up in the morning or decides to go on break in the middle of a meeting? How frustrating it is to see it happening to your team members, fully aware that they are feeling the same frustration you would? How much does it cost you, all events converging over time?
How much of a relief would it be if all these problems stemmed from one source: it being the time to retire that particular piece of hardware and replace it with something new?
For many, the introduction of remote or hybrid work practices was less of a choice and more of an existential need. Now, years after certain events caused this existential need, there are still pockets of friction that appear and make these approaches to work far more challenging than they can and should be.
Let’s explore a few of these pockets of friction and even more crucially, how to smooth them over.
Once upon a time, Bring Your Own Device (BYOD) was seen as mutually beneficial. An employer could save substantial costs by eliminating the need for new hardware investment, while the employee didn’t have to juggle devices and could stick with what was familiar and comfortable.
However, there is a pretty significant drawback that could upend the undeniable usefulness of BYOD if it isn’t addressed: the inherent insecurity that the business needs to contend with.
Is AI good for productivity? Of course… but, like most things, there are two sides to consider. Since artificial intelligence is so good for productivity, many employees (perhaps even some of yours) are turning to public AI tools without authorization or oversight, exposing summarized meetings, written code, entire spreadsheets, and other proprietary and sensitive data to a public database.
In short, they’re using a specific form of shadow IT… shadow AI.
