A Black Box is a dark cube of mystery. Some random number generator created by Rube Goldberg. A machine into which the gearing is not visible. It’s opaque and enigmatic. While it may sound clever to make that assertion about machine learning and AI, it’s a bit daft to be honest with you. When I started doing BI, people wouldn’t believe the reports could possibly match the database, so you’d do some SQL and show them the matching numbers. Doubt is healthy. Skepticism out of a lack of awareness of what’s happening today in machine learning and AI isn’t helpful.
So please let me assert: Squark is not a black box.
We’ve heard this claim made more than a few times about the grand automation driven by Squark’s intelligence. But that’s not an accurate statement; however clever or smart it may sound. Squark simply isn’t a black box. Here’s why:
In summary, with Squark you know the data going in, what’s done to prepare, the algorithms used, the drivers of the prediction, and can even review the model code, so there is no black box, only predictive power. Squark is the best no-code automation of data science on the market, and you simply need to want the light to shine in, to see it bright as a sunny day.
Squark is a no-code predictive analytics SaaS that automatically analyzes business data you work with every day to predict customer outcomes, uncover new and unforeseen business opportunities, and mitigate risk. It is a simple and easy-to-use AI software that doesn’t require data science nor technical expertise. In a matter of clicks, make confident, data-backed decisions about what your customers will do next and understand why to increase your business impact.