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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

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  • 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

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AI's 'Show-Me' Reckoning: Earnings Divergence, Executive Exodus, and Regulatory Tightening
Investors are shifting from rewarding AI narratives to demanding tangible results, evidenced by Adobe's weak guidance despite user-growth emphasis, Palantir's stock decline even after winning the Army's TITAN contract, and UiPath's contrasting guidance raise. Simultaneously, high-profile safety-driven departures from Anthropic and Google, plus new regulatory actions (California's under-16 social media ban, Anthropic's misuse-blocking disclosures), signal mounting scrutiny of AI's societal and financial risk profile even as fintech-adjacent funding (Socure) continues.
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Satellite-Terrestrial Network Integration Acceleration
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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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