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Source document· January 29, 2026

Itron to Showcase Advancements in Grid Edge Intelligence and Resiliency at DTECH 2026

View original at finance.yahoo.com
Itron to Showcase Advancements in Grid Edge Intelligence and Resiliency at DTECH 2026 Itron, Inc. End-to-End Solutions Address Grid Complexity, Rising Energy Demand and Reliability Challenges LIBERTY LAKE, Wash., Jan…
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  • By leveraging AI and ML, advanced analytics and real-time insights, Itron is committed to helping utilities overcome today's challenges and lead toward a more sustainable, reliable and resilient future.

    80% confidence
  • The modern grid requires 8,760 hour power flow analysis and Itron's power engineering expertise combined with Snowflake's platform makes this computationally practical for utilities.

    80% confidence
  • Gordian's ML with complex convolutional neural networks at the edge enables Itron's Advanced Grid Reliability solutions, providing critical real-time insights to address grid-reliability challenges.

    80% confidence
  • Itron's Advanced Grid Reliability solutions target an average reduction of outage minutes by 10% and increase capacity by up to 20%.

    80% confidence
  • Utilities are undergoing a profound transformation driven by rapid electrification, growing data center demand and increasing grid complexity. Itron is broadening focus to deliver comprehensive grid edge intelligence and resiliency solutions.

    80% confidence
  • Itron's Grid Edge Intelligence portfolio empowers utilities to address today's most pressing grid challenges with real-time visibility, advanced analytics and end-to-end solutions.

    80% confidence
  • Itron's EV Awareness application achieves over 90% accuracy in identifying and monitoring individual EV charging events.

    80% confidence
  • Expanded collaboration with Itron brings AI to the grid edge, helping utilities unlock measurable gains in efficiency, resilience and customer engagement.

    80% confidence
  • NET2GRID collaboration with Itron combines load disaggregation solutions with detailed insights into grid capacity constraints, making load disaggregation a foundational component for all utility departments.

    80% confidence

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Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
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