AI

The AI hype has been high over the last few years, and it’s only going up from here. However, not every AI tool is actually worth your time. Some are just shiny distractions, while others can genuinely transform your productivity and output. Generic chatbots handle everything with mediocrity. You need specialized AI tools built for […]

AI implementations are failing at staggering rates.  Recent studies show that 80% of AI projects never make it to production, and those that do often get abandoned. The culprit isn’t the technology, though. It’s the strategy (or lack thereof). Organizations are treating AI like any other software deployment: pick a vendor, run a pilot, roll

Public AI tools like ChatGPT and Claude work great for general tasks, but they’re not built for your business. You can’t feed them proprietary data without security concerns, they don’t understand your industry’s specific terminology, and they can’t integrate deeply with your systems.  For many organizations, that’s a dealbreaker. Private large language models (LLMs) solve

AI adoption is accelerating. Companies are deploying machine learning models, generative AI tools, and automated decision systems at breakneck speed. They ultimately promise unprecedented efficiency, deeper insights, and competitive advantages that seemed impossible just years ago. That’s not the complete story, though. AI introduces risks that most organizations aren’t prepared to handle. We’re talking about:

AI in cybersecurity is revolutionizing how organizations defend against digital threats. From automating threat detection to predicting attacks before they occur, artificial intelligence is transforming security operations and significantly impacting the cybersecurity job market. As we move through 2025, professionals and companies must adapt to the evolving demands driven by AI technologies. While there is

The AI revolution isn’t coming…it’s here. Nearly half of small and medium-sized businesses are already using artificial intelligence (with the majority reporting measurable financial savings).  However, most SMBs are just scratching the surface of what’s possible. Headlines focus on AI replacing jobs, but smart business leaders are finding something different. AI isn’t about elimination—it’s about

Using AI in your small business isn’t just about implementing the latest large language model (LLM) and calling it good enough. Almost half of all SMBs have started using AI, but over 80% of these AI projects eventually fail.  That’s not a problem with the technology, though—it’s an issue with the approach.  Companies jump straight