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News articleYahoo Finance· January 13, 2026

New DDN Report Reveals 65% of Organizations Are Struggling to Achieve AI Success

View original at finance.yahoo.com
New DDN Report Reveals 65% of Organizations Are Struggling to Achieve AI Success 600 business and IT decision-makers reveal in "The 2026 AI Infrastructure Report" that unified platforms, cloud strategies, energy expertise, and partnerships are the key to unlocking real AI success CHATSWORTH, Calif., January 13, 2026--(…
Opening lines of the source · Yahoo Finance · 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.

  • 76% of leaders face fundamental data challenges, from legacy infrastructure and siloed datasets

    80% confidence
  • 97% of organizations overwhelmingly agree that cloud infrastructure is essential to scaling AI

    80% confidence
  • DDN enables up to 70% reduction in power and cooling costs by keeping GPUs fully saturated and moving data in parallel

    80% confidence
  • 98% of organizations cite a skills shortage in both IT and data science roles as a major barrier to scaling AI

    80% confidence
  • AI workloads are projected to grow 110% in the next year

    80% confidence
  • More than half of respondents cite cloud as their fastest path to production

    80% confidence
  • Scaling AI is an integration problem, not a compute problem

    80% confidence
  • 83% of organizations say their internal teams are struggling with AI workloads today

    80% confidence
  • The real bottleneck in AI is the data layer underneath, not models and GPUs

    80% confidence
  • 93% of organizations are actively seeking to reduce AI's energy impact

    80% confidence
  • 54% of organizations have delayed or canceled AI initiatives in the past two years

    80% confidence
  • 47% of organizations cite power and cooling costs as their top infrastructure constraint

    80% confidence
  • 65% of organizations say their AI environments are too complex to manage

    80% confidence
  • 72% of organizations rely on third-party expertise to build and manage their AI infrastructure, while just 12% depend solely on in-house talent

    80% confidence
  • Google Cloud Managed Lustre empowers organizations to easily scale AI workloads with latest GPUs and TPUs while reducing complexity

    80% confidence
  • 65% of organizations have abandoned AI projects due to a lack of skills

    80% confidence

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Q4 2026 Clinical Catalyst Season: Big-Pharma Data Flow, Regulatory Milestones, and a Thin AI-Drug Fringe
October 2026 conferences (EASD, IGCS, NACFC, HFSA) are producing a dense run of late-stage readouts from Novo Nordisk, Lilly, Roche, Bayer, Vertex and Galderma. Regulatory milestones are scheduled behind them: the ivonescimab BLA PDUFA date on 2026-11-14, FDA acceptance of Roche's vamikibart BLA, and Scholar Rock's EMA resubmission. The AI-and-finance angle is peripheral. It consists of the AI-designed drug Rentosertib and QAIAx, a speculative microcap whose trial claims (the QIII pilot, anticipated 2027-01-01, and a patent update) are forecasts and filings rather than data, so they warrant skepticism.
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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.
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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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