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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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A dense wave of AI-sector funding (Socure, Stability AI, Emerald AI, Generalist AI, Gatik, Regent Craft and others closing rounds on the same day) and strong enterprise-automation earnings (UiPath raising full-year guidance) point to continued heavy capital deployment into AI infrastructure, fintech-adjacent AI, and agentic automation. Yet Palantir's stock fell even after winning the Army's high-profile TITAN contract, and commentary (e.g., the Alphabet bull case citing AI capex and regulatory risk) signals growing investor unease about whether current AI valuations and spending levels are sustainable.
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JPMorgan Chase & Co.
Both facts represent the same entity (JPMorgan Chase & Co.), same attribute (EPS), and same observation date (2025-12-31), which aligns with FY 2025 year-end reporting. Fact A explicitly states FY 2025 with EPS of 20.02 USD/share. Fact B has an unspecified fiscal period (N/A) but reports 4.63 USD, a significantly different value (4.3x lower). Given identical observation dates and the same metric, both facts appear intended to represent FY 2025 annual EPS. The conflicting values (20.02 vs 4.63) constitute a direct contradiction. The N/A period in Fact B suggests incomplete or corrupted metadata rather than legitimate time-period variation.
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