Why data fragmentation is becoming a business problem, not just a technical one
Data fragmentation is increasingly recognized as a significant business challenge rather than just a technical issue. This fragmentation hampers decision-making and affects the effectiveness of AI initiatives within organizations. Companies are urged to address the underlying data issues rather than simply consolidating data sources.
- ▪Gartner predicts that 60% of AI projects lacking AI-ready data will be abandoned by 2026.
- ▪Data fragmentation occurs when necessary information is dispersed across various systems and formats.
- ▪Many organizations mistakenly view data fragmentation as solely an IT problem, which it is not.
TechRadar publishes from United Kingdom and files mainly under tech. We currently carry 1,226 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | TechRadar |
| Canonical URL | https://www.techradar.com/pro/why-data-fragmentation-is-becoming-a-business-problem-not-just-a-technical-one |
| Publication time | Fri, 22 May 2026 10:48:42 +0000 |
| Retrieval time | 2026-05-22T10:52:01.330Z |
| Last seen | 2026-05-22T10:52:01.330Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | owq1CubXopN1 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Pro Why data fragmentation is becoming a business problem, not just a technical one Opinion By Maximilian Groth published 22 May 2026 The impact this has on business decision-making When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Getty Images) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Gartner expects 60% of AI projects that lack AI-ready data to be abandoned through 2026. "AI-ready" sounds like a technical label.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at TechRadar.