History has seen many gold rushes. People ran to the mountains, chasing glitter and promise, often with little more than hope. Some struck gold. Many more returned empty-handed.Today, AI feels a lot like that. The noise ...
Every enterprise dreams of scaling AI across workflows — from customer support to supply chain to finance. But when the bills start adding up, the dream can quickly look like a spreadsheet nightmare.Endless API calls. Ho...
Imagine teaching a child to ride a bike. At first, there are falls, scraped knees, and wobbly attempts. But each mistake teaches balance, and each success builds confidence. Over time, the child doesn’t just ride — they ...
We are thrilled to welcome Ian Kimbrell as the new Vice President of Sales at Rapid Acceleration Partners. A journey shaped by experience Ian’s career spans more than 25 years in the industry, covering roles that b...
In product conversations, the ask usually comes first.“Can we automate this?”“Can we get more visibility?”“Can we move faster on this?” The intent is valid. But the ask is often just the surface.And if you act on it a...
In manufacturing and distribution, success often depends on repeatability, consistency, and efficiency. But there’s a hidden bottleneck many teams face that often goes unaddressed: tribal knowledge. More than 70% of p...
When we talk about agent-based systems, the focus usually gravitates toward their individual capabilities—what they can do, what tools they can use, and what outcomes they generate. But beneath those surface-level abilit...
The term “orchestration” is gaining momentum in the AI world — but like many rising trends, it’s often interpreted narrowly.Today, when most companies speak about AI orchestration, they typically mean coordin...
There’s a myth floating around in boardrooms and brainstorms alike: “We need the best model.” But here’s the reality: the model is not the hard part. In enterprise AI, your choice of model matters far less than ...
There’s been a surge of excitement around Chain-of-Thought (CoT) prompting in large language models (LLMs). The idea is simple and seductive: if we can get an AI to “think step-by-step,” it will arrive at better, more re...