AI

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

AI implementation failures have more to do with the preparation than the technology. Companies excited by AI’s potential skip the foundation work, deploy tools on unstable infrastructure, and wonder why their expensive AI investment delivers disappointing results. Unpreparedness costs more than just failed projects: Poor infrastructure leads to performance issues that frustrate users.  Inadequate security

“Do we really need AI?” It’s the question keeping small business owners up at night. You’ve seen the headlines about AI transforming industries, watched competitors talk about their “AI strategies,” and received countless vendor pitches promising revolutionary results.  But between the hype and your daily operational reality lies a nagging uncertainty: is AI actually necessary