Saturday, September 5, 2026
Source trace. Via News points to the documents behind its reporting and shows what we drew from each — so you can check any claim. How we source
Press releaseGlobeNewswire· April 14, 2026

Hampir 80% Perusahaan Menyatakan AI Terhalang oleh Cabaran Akses Data, Laporan Baharu Cloudera Mendedahkan

View original at globenewswire.com
Hampir 80% Perusahaan Menyatakan AI Terhalang oleh Cabaran Akses Data, Laporan Baharu Cloudera Mendedahkan SAN JOSE, Calif., April 15, 2026 (GLOBE NEWSWIRE) -- Cloudera, satu-satunya syarikat yang membawa AI kepada data di mana-mana, hari ini mengumumkan hasil tinjauan global terbaharunya, The Data Readiness Index: Und…
Opening lines of the source · GlobeNewswire · short snapshot — read the full document at the original

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • Every respondent in this report indicates their organization is at least prepared to adapt existing frameworks to support true data readiness

    60% confidence
  • Three out of five (60%) telecommunications sector respondents state infrastructure performance consistently hinders operational initiatives, the highest rate among all industries studied

    60% confidence
  • Enterprises are not struggling to adopt AI, but struggling to implement it beyond the experimental stage

    60% confidence
  • Nearly three-quarters (73%) of respondents report that performance constraints have impacted operational initiatives

    60% confidence
  • 85% state they have a clear data strategy

    60% confidence
  • Less than one in five (18%) respondents state their data is fully governed

    60% confidence
  • 51% of telecommunications sector respondents state they can access all data at any time, compared to only 24% in financial services and 16% in public sector

    60% confidence
  • 96% of organizations report integrating AI into core business processes

    60% confidence
  • Cost overruns are most prominent in the energy and utilities sector (25%) as a barrier to AI ROI

    60% confidence
  • AI is only as effective as the data supporting it. Without seamless access to all their data, organizations limit the accuracy, reliability and business value AI can generate

    60% confidence
  • 54% of telecommunications sector respondents state it is 'very true' that they have full visibility of their data location, compared to only 30% in financial services and 31% in public sector

    60% confidence
  • You cannot implement AI without data

    60% confidence
  • Weak integration into workflows was identified as a key challenge by respondents in healthcare, manufacturing and financial services sectors (20%)

    60% confidence
  • 84% of respondents are confident in the accuracy, completeness and alignment of their organizational data

    60% confidence
  • 71% state most of their data is governed

    60% confidence
  • Nearly 4 out of 5 (~80%) admit their AI and data initiatives are still limited due to restricted data access across environments

    60% confidence
  • When asked why AI initiatives fail to meet targets, respondents identified key challenges: data quality (22%), cost overruns (16%), and weak integration into existing workflows (15%)

    60% confidence

Cited in these Via News reports

What we know · the intelligence behind this page
Live from the substrate
What we're seeing
AI Capital Surge Meets Investor Caution: Record Funding Rounds and Government Contracts Amid Valuation Skepticism
A single-week cluster of large AI/fintech funding rounds (Socure, Stability AI, Emerald AI, Generalist AI, Instinct, Gatik, Regent Craft) shows venture capital still pouring into AI infrastructure, identity, and autonomy plays, while Palantir's Army TITAN contract win coincided with a 6% stock drop — signaling that even flagship AI-defense revenue isn't immune to market reassessment of AI valuations. Efficiency-focused innovations like Multiverse Computing's model compression suggest the sector is also pivoting toward cost/inference economics as capital intensity draws scrutiny.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
The same metric (eps) for the same entity (Morgan Stanley & Co. LLC) reported for the identical fiscal period (Q1 2026) and observation date (2026-03-31) has two conflicting values: 3.43 USD_per_share vs 3.08 USD. This is not a temporal change — both observations claim to measure the same point in time. The ~10% discrepancy (0.35 USD difference) is material for a financial metric.
We flag conflicts openly ›
Recently verified
Checked against the original source
4,981
facts traced to their source — and we flag the ones that don't hold up.
101 entities tracked4,981 facts checked against source5,273 source documents archived
Query this data → isubstrate.com