technology
PushButton AI Team ·
You didn't fail at AI. You got sold infrastructure when you needed outcomes. That $200/month tool collecting dust? It wasn't your fault. Someone handed you a complex solution before you even had a cl
You didn't fail at AI. You got sold infrastructure when you needed outcomes.
That $200/month tool collecting dust? It wasn't your fault. Someone handed you a complex solution before you even had a clear problem. That's not a you problem. That's a sequencing problem.
Here's what the enterprise AI world quietly revealed this week: even the biggest players — AWS, Red Hat, IBM — are still wrestling with how to make AI run reliably inside real business environments. They're building custom chip stacks and integration layers just to get large AI models to function predictably. The complexity is real, even at that level.
Which means your confusion isn't ignorance. It's an accurate read of a genuinely messy landscape.
The practical takeaway: before you buy another AI tool, define one specific business problem first. Not "we need AI." Try "we spend 6 hours a week summarizing client reports." That single sentence changes every conversation you'll have with any vendor.
One defined problem. One targeted solution. Measurable result within 30 days. That's how the first win actually happens.
What's the one repetitive task in your business that costs you the most time every week?
#AIStrategy #SmallBusiness #BusinessGrowth #AIImplementation
Running large language model (LLM) inference on AWS Inferentia and AWS Trainium chips requires an operator stack that integrates with Red Hat ...
