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Source document· February 3, 2026

Snowflake Makes Enterprise Data AI-Ready With Snowflake Postgres and Advanced Innovations for Open Data Interoperability

View original at finance.yahoo.com
Snowflake Makes Enterprise Data AI-Ready With Snowflake Postgres and Advanced Innovations for Open Data Interoperability Snowflake Postgres unifies the world’s most popular database with analytics and AI on a single, secure platformSnowflake Horizon Catalog provides enterprises with seamless interoperability, centraliz…
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  • Snowflake Postgres gives teams and customers a simpler, more reliable foundation to build governed analytics and AI-powered experiences that respond in real time

    80% confidence

  • With Snowflake Postgres, Sigma Computing can work directly on fresh transactional data inside Snowflake without relying on complex pipelines or external systems

    80% confidence

  • Snowflake Postgres eliminates pipelines by bringing transactional, analytical, and AI capabilities together on a single, enterprise-ready platform

    80% confidence

  • Snowflake Postgres's enterprise-grade Postgres foundation brings real credibility, particularly for financial services organizations

    80% confidence

  • By bringing unified operational and analytical data and open interoperability together in one platform, Snowflake is empowering customers to develop enterprise-ready AI systems that work with real business data, securely and at scale

    80% confidence

  • PostgreSQL is the world's most popular database

    80% confidence

  • With Snowflake Postgres, BlueCloud can deliver low-latency transactional workloads alongside analytics and AI on a single platform, reducing overhead and helping customers be more agile

    80% confidence

  • Sigma Computing customers expect live, interactive analytics on the most current business data

    80% confidence

  • Most organizations still keep their transactional and analytical databases siloed on separate systems, forcing teams to rely on complex pipelines

    80% confidence

  • Eliminating data silos, fragile pipelines, and closed systems is necessary to speed up AI deployment and reduce risk

    80% confidence

  • As businesses move from AI experimentation to production, the real challenge is ensuring AI systems can consistently access data that is connected, governed, and discoverable across the enterprise

    80% confidence

  • Snowflake Postgres represents a major opportunity to help BlueCloud customers eliminate data pipelines without compromising performance

    80% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
AI Capital Surge: Late-August 2026 Funding Wave Spans Fintech, Enterprise Agents, and Robotics
A dense cluster of funding rounds landing on 2026-08-28 — from identity/fraud fintech player Socure ($156M plus its acquisition of Fravity) to enterprise AI agent startups (Instinct, Generalist AI, Owner), model infrastructure (Stability AI, Emerald AI), and autonomous logistics/aerospace (Gatik, Regent Craft) — signals investors are rotating aggressively into AI-native companies with demonstrable ROI, especially in financial risk/compliance and back-office automation. Parallel signals (Multiverse Computing's compression benchmarks cutting inference cost/latency, and Arkestro/CloneOps.ai publishing hard savings and labor-displacement figures) suggest the funding is chasing efficiency and measurable economic impact rather than pure model scale.
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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
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Where sources disagree
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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Snowflake Makes Enterprise Data AI-Ready With Snowflake Postgres and Advanced Innovations for Open Data Interoperability — Source | Via News | Via News