Why enterprise agentic AI needs an evidence standard.
Usage metrics show who logged in. Neetu Yadav sets out a five-part evidence standard covering reach, depth of use, quality, risk, and business impact, so enterprise leaders can scale agentic AI with confidence.
Renting GPUs felt smart in 2023. The math has moved
Many enterprise AI initiatives started the same way over the past several years: renting cloud capacity, running pilots, and scaling successful projects. That approach made sense when nobody knew if these use cases would actually hold up in a live production environment...
Why compounding containment is the real test of your AI strategy
I've been working in the AI space for about six and a half years. And one thing I can tell you with certainty is that the hardest part of any AI journey isn't getting started. It's what happens after the easy wins are gone.
The prompt that separates AI leaders from AI hobbyists
Three in four board members rate their AI knowledge highly, and their CEOs disagree. The gap shows up in a single prompt, and the fix takes about 30 seconds of extra typing...
7 questions your board will ask about AI before you're ready to answer them
Boards used to nod along when AI came up in the strategy deck. That era ended. Directors now show up with specific questions, and a vague answer about "efficiency gains" reads to a board the way "the check is in the mail" reads to a landlord.
AI leaders who skip this meeting keep losing budget in Q3
Nearly every organization running AI in production is overspending against forecast. The fix rarely means a smaller budget. It means a meeting most AI leaders keep skipping.
8 stats that show AI got smarter faster than it got safer
SWE-bench just crossed the 100% line and code security is still stuck at 56%. Eight numbers that show exactly where AI's capability outran everyone's ability to trust it, and what to do about the gap.
Your AI agent's skills are lying to you about why they work
Skills don't teach your agent much of anything, according to a new 8,135-trial study: only 4.5% of skill use is actual knowledge injection. The rest is mostly the agent using the skill file to stay on track. And the more skills you add, the worse it gets at finding the right one...
10 questions every AI leader should be able to answer in 2027
From kill switches to Chief AI Officer authority, these are the ten questions separating AI leaders with real answers from leaders about to get a very uncomfortable board question...
How to build AI in the age of collaborative coding
I'm Steve, co-founder and CEO of Builder.io. and I want to talk about something that I think most teams are getting wrong right now, even the ones who've already bought into AI...
Data centers close on schedules that don't care about your AI roadmap. Get the sequencing wrong, and you don't just move SAP workloads to the cloud. You migrate every architectural weakness right along with them.