Evaluating Insight Engines
Not too long ago, we published a series of articles outlining a workflow and what it takes for companies, users, and decision-makers to evaluate an insight engine – such as Mindbreeze InSpire.
Below you can see the process in a series of blogs we typically follow with customers interested in deploying an MVP (Minimum Viable Product). This all occurs during our Try & Buy period of Mindbreeze InSpire.
1 What to Consider for your Insight Engine Rollout: Identify the Use Case
2 What to Consider for your Insight Engine Rollout: Define the Success Criteria
3 What to Consider for your Insight Engine Rollout: Hands-on Testing with Company Data
4 What to Consider for your Insight Engine Rollout: Involve the Users
5 What to Consider for your Insight Engine Rollout: Validate the ROI Calculation
The Gartner, Inc. glossary defines MVP (Minimum Viable Product) as,
“The release of a new product (or a major new feature) that is used to validate customer needs and demands prior to developing a more fully featured product. To reduce development time and effort, an MVP includes only the minimum capabilities required to be a viable customer solution.”
Interested? View more information on our exclusive Try & Buy offer.
Latest Blogs
New features of Mindbreeze InSpire 26.4 Release
Want to check out the highlights of the Mindbreeze InSpire 26.4 Release? Learn more in the following blog post.
Memory in Agentic AI: Why Context Matters
When we talk about agentic AI, it’s easy to focus on reasoning and tool‑calling. But there’s another ingredient that’s just as important: memory. Without it, even the smartest model can only handle one interaction at a time.