Rick Dexter

With over $101 million in jewelry stolen, the recent Louvre heist was a costly success for criminals. However, French publications suggest the thieves may have encountered less resistance than an organization of the museum's stature should provide, thanks to a documented history of severe cybersecurity vulnerabilities.

This history offers a crucial lesson for all businesses: Foundational security flaws can undermine even the most complex physical protections. Let's examine the documented oversights and what they imply about the museum's current security posture.

Open your Profit & Loss statement. I'm willing to bet that the IT line is sitting squarely in the expense column, right next to rent, electricity, and paper towels.

For many business owners, IT is seen as a necessary evil; a cost center, a black hole they just have to throw money into. When you see a technology bill, you get that double-take and cringe. Your primary goal is to minimize this cost; often to the point of avoidance.

Artificial Intelligence (AI) has moved from science fiction to a daily reality, fundamentally reshaping how we work and communicate. Yet, behind every groundbreaking AI application lies massive infrastructure in the form of data centers. These sprawling facilities, packed with servers, storage, and networking equipment, aren't just filing cabinets for data; they are the engines that make AI possible. Today, we are going to look at the data center and the pros and cons society will see from the expansion of AI.

The shift to remote work has transformed business, yet the virtual meeting remains a point of friction. A poorly executed remote meeting isn't just a time-waster; it drains productivity and damages company culture.

With the right strategy and tools, your remote meetings can be even more effective and engaging than in-person ones.

If you’ve played with AI for any purpose, but particularly for your business’ benefit, you may have found your results less than impressive. One of the biggest challenges of working with artificial intelligence is our assumption that our instructions are sufficient, even when they are vague or non-specific.

A prompt of this caliber will not produce the quality responses that you need. Instead, you need to use “prompt engineering” to come up with a request that will. Fortunately, you can improve your prompts considerably by simply remembering three things.