Insights on how AI is actually used inside businesses — from decision-making and operations to customer experience and growth. These are not trends or theory, but practical perspectives drawn from real implementation challenges, trade-offs, and outcomes.
I’ve seen a lot of AI trends get packaged as bigger than they really are. This one feels different. Open source AI agent platforms are getting attention because businesses are no longer impressed by agent demos alone. They want systems that can actually shape around their own workflows. What is changing now is the conversation[…]
The biggest mistake manufacturers make with AI is treating it like another tool to plug in. A dashboard gets added, alerts start showing up, and it looks like progress. But the actual workflow on the floor stays the same. That is where most of the value gets lost. If operators still need to double-check everything[…]
For a long time, I think most people saw AI in medical coding as a simple efficiency upgrade. It could help teams process routine charts faster, but it still felt like something was happening quietly in the background. The reality is that coding sits right where clinical documentation turns into billable claims, so when problems[…]
The use of AI technology for breast cancer diagnosis remained uncertain until recent studies proved its capacity to function as a practical clinical solution. Although people showed great interest in the topic, the actual value of the technology needed to be assessed for its daily use in screening procedures. Recent studies are starting to move[…]
Right now, almost every leadership team can say “we’re doing AI” with a straight face. There’s a copilot rollout. A pilot in support. A few teams are using ChatGPT to move faster. It looks like momentum, and it feels like progress. But when you ask the only question that matters, what business number moved because[…]
If you’re still thinking grocery shopping starts when someone opens a store app and scrolls categories, you’re thinking in an older flow. That flow still exists, but more decisions are starting earlier inside assistants and algorithm-led surfaces that shoppers use as a shortcut to a basket. Capgemini put a clean number on it: 71% of[…]
There are moments when you don’t need a headline to tell something important is happening. You can just feel it. The India AI Impact Summit felt like that for me. I’ve spent years working with technology, watching AI move from theory to tools, from labs to real products. But this time, it wasn’t about a[…]
If you’re still picturing trip planning as “someone lands on our site, scrolls a bit, then checks us on an OTA,” you’re thinking in an older internet flow. That journey still happens, but it’s no longer where most decisions begin. Phocuswright’s consumer research makes this shift easy to see. Their chart shows traditional general search[…]
A year ago, a lot of hospital AI conversations sounded like a shopping trip. Which vendor? Which pilot? Which department goes first? In 2026, it feels different. AI is already inside real workflows, so the conversation is less “should we try it” and more “what happens when it’s wrong?” The adoption signal is already clear.[…]
Change in healthcare rarely announces itself with a bang. More often, it slips in quietly, woven into the daily routines of clinics and hospitals everywhere. I’ve watched as new technologies have been introduced with high hopes, promising fewer mistakes, faster care, and more precious time with patients. But the reality is more complex than the[…]
