Editorial Standards and Corrections

The Predictive AI Blog is published by YourCloudGroup. These standards govern every article on yourcloudblog.com. They exist so that readers — and anyone who quotes or cites our articles — can trust what we publish and can tell exactly what we are claiming.

Evidence standard

Where an article reports a result, it states the data it came from, the population it was measured on, and the numbers themselves. We prefer exact figures ("36 of 50 frauds detected") to vague ones ("high accuracy"). Every published figure is traceable internally to the experiment or source that produced it.

We do not publish invented customers, testimonials, benchmarks or comparisons. Claims that YourCloudGroup or its products are "the best", "the most accurate" or "better than" an alternative are not published unless a documented comparison supports the specific, narrower claim being made.

Measurement is separated from interpretation

Articles keep four kinds of statement distinct:

• Measured fact — what the data or experiment showed.
• Interpretation — what we think the measurement means.
• Product capability — what YourCloudGroup Model Manager does.
• Limitation — what the result does not show.

Experiment articles use recurring sections such as "What we measured", "What the result means" and "What this result does not prove" so the boundary is visible.

Source attribution

When an article uses a public dataset, paper, standard or other outside source, we name it and link to the original. We distinguish the source data from YourCloudGroup's experiment on that data and from our interpretation of the result. We never present external data as our own.

Dates

Every article shows the date it was first published. If an article is substantively revised, it also shows an "Updated" date. The original publication date is never changed, and articles are never re-dated to appear new. The dates in each page's structured data always match the dates shown on the page.

Corrections

When we find a material error in a published article:

1. The article is corrected at its existing URL — the canonical address does not change.
2. The Updated date is set to the date of the correction.
3. For material corrections, a visible correction note on the article states what changed and when.
4. Experimental results are never silently altered. If a reported result was wrong, the correction note says so.

If an article's address ever has to change, the old address permanently redirects to the new one so existing links keep working. Articles that become outdated may be archived; archived articles remain available at their original URL.

AI assistance

AI tools may assist with drafting, editing or producing graphics for articles. Every article is reviewed by a person against its underlying evidence and a content-quality checklist before publication, and a person decides whether it is published. The checklist asks, among other things, whether each claim is supported, whether limitations are disclosed, whether sources are attributed, and whether the article would be useful to a reader who never buys the product.

The website itself has no runtime dependency on any AI service: pages are rendered deterministically from reviewed source files.

Product mentions

The Predictive AI Blog is published by the maker of YourCloudGroup Model Manager, and articles mention the product where it naturally supports the lesson. Product descriptions are limited to capabilities the product actually has; for a plain description, including limitations, see What Is YourCloudGroup Model Manager?

Contact

To report an error or ask about an article, contact YourCloudGroup support through yourcloudgroup.com. More about the company is on the About page.