There’s the obvious privacy issue with public AI tools, but people often overlook another reality: at work, someone likely has the same access to your AI interactions as they do to your email and Teams messages. As a company using AI, you’re also responsible for all that data. You must protect it, keep it private, and, if required, collect it in response to a lawsuit or investigation.
Are you prepared to do that?
The bigger issue, however, is meetings where little thought has gone into how they’re run. Especially the regularly scheduled meetings, like weekly project updates. It’s easy for those meetings to become such a routine task that we don’t think much about them beforehand, and then we just go through the motions, following the agenda without considering where the team is or what they need. We’ve all been guilty of this. I’m no different.
It’s almost as if the meeting is for us as leaders, and not the rest of the team, which I don’t think is a good way to run a meeting.
Frankly, AI will be an expensive way to learn that your underlying processes or data were suspect all along.
I love this year’s theme: Don’t Make It Easy for Them. https://www.staysafeonline.org/cybersecurity-awareness-month I remember growing up and hearing adults I knew in law enforcement talk about someone breaking into your house. The general consensus then was that a house alarm or car alarm wouldn’t stop someone skilled and dead set on getting into your house…
Alex sees the writing on the wall; the idea that anyone can retire at 65 in the near future is a joke. That future existed when pensions were common; homeownership early in adulthood was achievable, and you could work for the same company doing very similar work for over 40 years.
We don’t have any of that now. What we do have is a system that was designed for that, though, and a system that refuses to change with the times.
If I’m being honest, every time I hear someone say they don’t like Copilot because ChatGPT or Claude is just better, I have to wonder about that. The models available inside Copilot aren’t that different, but there is one big difference. Copilot has access to all your email, OneDrive documents, SharePoint files, etc.
That’s been a selling point for Microsoft, but it might also explain why the results differ. Your data might be making the results worse than when you use a different tool that isn’t connected to your Microsoft environment.
What is your AI using as its source of truth?