Tuesday, August 18, 2026
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Live from the substrate
What we're seeing
Enterprise AI Agent Rollout Outpaces Data Trust and Readiness
Enterprise adoption of agentic AI is accelerating fast — Siemens deepening its NVIDIA partnership for self-verifying agentic AI in chip design, Manulife expanding its Microsoft AI-governance partnership, and a wave of infrastructure launches (NVIDIA GPU-accelerated data processing, Dell exascale storage, new AI chip generations) — even as a new Google Cloud survey shows the underlying data foundation isn't ready: companies have AI access to only 45% of their data on average, data laggards see access fall to 30% or less, and only about half of organizations trust their AI agents' decisions. Meanwhile, insider selling at enterprise-AI bellwether C3.ai (CEO Thomas Siebel offloading $4.8M in shares) hints at investor caution layered under the adoption hype.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
JPMorgan Chase & Co.
Both facts report JPMorgan Chase & Co.'s revenue for the same fiscal period (FY 2025) with the same observation date (2025-12-31), but with different values: $182.447 billion vs. $185 billion. The ~1.4% difference ($2.553 billion) is too large to be explained by rounding alone and represents conflicting data for the identical time period.
We flag conflicts openly ›
Recently verified
Checked against the original source
4,812
facts traced to their source — and we flag the ones that don't hold up.
101 entities tracked4,812 facts checked against source5,219 source documents archived
Work with this data → vianewsagency.com
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· January 23, 2026

AI in Medical Imaging Market Size to Hit Nearly USD 22.97 Trillion by 2035, Driven by Rising Demand for Early Disease Detection and Workflow Automation

View original at globenewswire.com
AI in Medical Imaging Market Size to Hit Nearly USD 22.97 Trillion by 2035, Driven by Rising Demand for Early Disease Detection and Workflow Automation Ottawa, Jan…
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.

  • Over $3 billion in private funding has gone to AI imaging startups in the past 5 years

    80% confidence
  • North America holds 45% share of AI medical imaging market in 2025, the largest regional share

    80% confidence
  • There is a 30-40% global radiologist workforce shortage

    80% confidence
  • Asia-Pacific is the fastest growing region at 30.80% CAGR

    80% confidence
  • AI is present in approximately 35% of large hospitals as of 2025

    80% confidence
  • U.S. AI medical imaging market will grow from $716.22B in 2025 to $7,640.97B in 2034 at 26.71% CAGR

    80% confidence
  • Deep learning holds 48% market share with $970.58B revenue in 2025, the dominant technology

    80% confidence
  • Global AI in medical imaging market will grow from $2.01 trillion in 2025 to $22.97 trillion in 2035 at 27.57% CAGR

    80% confidence
  • China accounts for over 35% of Asia-Pacific AI medical imaging growth

    80% confidence
  • 70% of global deaths are from chronic diseases including cancer, cardiovascular, neurological, and respiratory conditions

    80% confidence
  • Explainable AI is the fastest growing technology segment at approximately 30% CAGR

    80% confidence
  • AI delivers 30-50% reduction in reporting turnaround time and 20-30% improvement in diagnostic accuracy

    80% confidence

Cited in these Via News reports