Curated from Latest from TechRadar US in News,opinion — Here’s what matters right now:
The rise of AI is reshaping business technology at an unprecedented pace. From IT to HR, finance to customer service, few departments remain untouched by the wave of automation and intelligence sweeping companies and industries today. However, with this surge in interest comes a growing challenge: distinguishing between truly transformative AI tools and those merely dressed up in buzzwords. For CIOs and business leaders, the mandate has shifted from exploration to execution. Deploying the wrong AI solution doesn’t just stall progress; it burns time, budget, and internal credibility. The challenge now is clear: cut through the noise, ensure enterprise-grade security, and back only the AI that drives measurable impact. Perception problems around AI At a surface level, many AI solutions look the same: slick interfaces, automated responses, bold claims. But there is a distinct difference between basic AI bots and true agentic AI. Some AI products automate tasks only within rigid boundaries, while agentic AI is designed to think, act, and adapt with no intervention required. The confusion often stems from how AI is marketed. Some platforms tout predictive insights but rely on limited or shallow data , resulting in misleading outputs. Others claim “full autonomy,” yet still depend heavily on human input. Most are wrappers for outdated automation , only a few are truly built to drive action, solve real problems, and evolve with your environment. Similarly, many products only scratch the surface by simply passing user prompts to large language models (LLMs) through an API - what you might call a very thin layer of AI. They look impressive at first, but lack any meaningful depth. This creates a perception problem. AI is either seen as a cure-all or dismissed as hype. In reality, the value lies between. Real improvements in productivity and efficiency come from using the right tools, not just any tools. The shift from automation to autonomy Although hype still surrounds AI, we’re also seeing real progress as it evolves from basic automation to true autonomy. In IT specifically, autonomous AI is starting to take on entire workflows from start to finish, including resolving low-level support tickets without any intervention from IT personnel, even though end users may still interact with the AI. The depth of these solutions is critical. When AI systems layer orchestration, coordinate multiple processes, or use specialized agents for different tasks, they become much more than a simple interface to a language model. And when they can take informed action on real business systems, drawing on an organization’s unique data and historical context rather than merely offering recommendations, that’s when you see what can truly be considered a deep AI product. The effect on an organization is threefold. For end users, it delivers a zero-time SLA experience: instant support, self-service resolution, and frictionless access to help anytime. This shift dramatically imp
Next step: Stay ahead with trusted tech. See our store for scanners, detectors, and privacy-first accessories.
Original reporting: Latest from TechRadar US in News,opinion