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Source document· January 27, 2026

Snowflake Launches Energy Solutions for the AI Data Cloud to Accelerate Shift to a Lower-Carbon Future

View original at finance.yahoo.com
Snowflake Launches Energy Solutions for the AI Data Cloud to Accelerate Shift to a Lower-Carbon Future Snowflake Launches Energy Solutions for the AI Data Cloud to Accelerate Shift to a Lower-Carbon Future 30+ new partner solutions help unify IT, OT, and business data — powering predictive maintenance, grid optimizatio…
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  • By building Intelligent Customer Engine on Snowflake, EDF has unified sensitive data securely and accelerated how quickly they turn insights into action

    80% confidence
  • Data is the control plane for the future of energy

    80% confidence
  • Migrating from legacy systems to Snowflake gives Powerex the speed and scalability to power AI-driven forecasting and LLM-powered market insights which enhances decision-making and trading performance

    80% confidence
  • Bidgely was founded to help the energy industry turn data into action, and Snowflake Intelligence enables that vision at a completely new scale

    80% confidence
  • The Grid Planning solution can deliver power flow analysis results in hours instead of months, enabling utilities to plan infrastructure more accurately and improve long-term reliability

    80% confidence
  • Snowflake helps PG&E consolidate siloed legacy environments, govern sensitive regulatory and operational data, and deliver timely analytics to teams in the field and in the control center to improve reliability and affordability of service

    80% confidence
  • By combining Bidgely's vertical AI with Snowflake's data and AI platform, insights can be made immediately accessible through natural language, helping utilities better understand consumption patterns, customer behavior, and distributed energy impacts

    80% confidence
  • EnergyHub aims to give utility clients the data-driven confidence to move VPPs from the periphery to the heart of grid planning

    80% confidence
  • Snowflake provides the scalable foundation that powers analytics and innovation across Sunrun's business, reducing latency, improving accuracy, and enabling faster insights for over 7,500 users

    80% confidence
  • Snowflake data platform gives Expand Energy a single, trusted view of operations across business and field systems, reducing complexity and saving thousands of hours annually through automated monitoring, streamlined M&A integrations, and machine learning

    80% confidence
  • Technology is unlocking the value of more than 100 years of historical energy data

    80% confidence
  • Snowflake helps IGS Energy simplify how they build and run AI models, cutting costs and speeding up insights without sacrificing accuracy

    80% confidence
  • Snowflake is helping the world's energy leaders modernize how they manage data and harness AI to democratize insights so that anyone, not just data scientists, can act on intelligence in real time

    80% confidence
  • Solutions that combine Siemens Industrial Edge with Snowflake help unify decades of operational data in a trusted, secure, and scalable way, empowering energy industry customers to manage decentralized assets at scale and predict equipment failures

    80% confidence
  • Energy companies need a trusted data foundation that can activate AI everywhere for keeping the grid secure, protecting critical assets, and balancing supply and demand in volatile markets

    80% confidence
  • With Snowflake, EnergyHub is providing the low-latency telemetry, accurate forecasts, and reliable performance essential to VPPs achieving parity with traditional infrastructure

    80% confidence
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Obesity and Immunology Readouts, Big Pharma M&A and AI-Designed Drugs Converge Into a Q4 2026 Catalyst Wave
Late-stage data and deal activity are clustering ahead of Q4 2026. Novo Nordisk's CagriSema won Best Abstract at EASD 2026 for its brain and body (fMRI/MRI) data, Lilly showed ADtouch results for EBGLYSS and agreed to buy Merida Biosciences for $2.9B, and Merck's tulisokibart hit its Phase 2b endpoints. A key regulatory catalyst follows: the FDA PDUFA date for the ivonescimab BLA on 2026-11-14. AI-designed rentosertib showing anti-aging effects adds a speculative AI-drug-discovery thread, while QAIAx's microcities trial and QIII pilot (planned 2027-01-01) are peripheral, forecast-only items.
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Sinais que acompanhamos
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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Onde as fontes divergem
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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