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American International Group shares rebound on digitalisation and AI initiatives
American International Group (AIG) shares rose 5.31% to US$78.77, driven by a 6.56% gain over 90 days. The company reported annual revenue of US$26.48b and net income of US$3.16b. Analysts suggest AIG is undervalued at a fair value of US$86.45, citing digitalisation and artificial intelligence initiatives that enhance operational efficiency and underwriting precision. However, climate exposure and legal pressures remain concerns. AIG trades at a P/E of 13.3x, higher than the peer average of 9.1x.
BMO files provisional patent for quantum earthquake forecasting algorithm
Bank of Montreal has filed a provisional patent for a quantum algorithm designed to assist in seismic forecasting. The bank also deploys AI to dispatch mobile branches to wildfire-affected areas, such as Los Angeles. BMO established the BMO Institute for Applied Artificial Intelligence & Quantum to consolidate research in these technologies. While the quantum algorithm remains unproven and hardware is not yet scalable, the bank aims to improve catastrophe modelling for insurance and lending. AI dispatch operations are currently active to restore banking services in disaster zones.
Satellite data enables financial services, risk analytics, and climate-risk products
Satellite data is increasingly integrated into financial services to support underwriting, lending, compliance, and parametric insurance. The sector focuses on operational products that link physical signals to financial actions like pricing, payouts, and portfolio monitoring. Key applications include maritime compliance, renewable energy performance tracking, and climate-risk assessment. Financial institutions require objective, repeatable external signals to create defensible decision trails for audits and risk management, moving beyond broad climate narratives to specific, measurable indicators.
Insurers cite data readiness as primary barrier to AI deployment
A 2026 AM Best survey of over 150 insurers reveals that 45% identify data readiness as the biggest obstacle to deploying AI, surpassing security concerns and legacy integration challenges. The report highlights three critical gaps: decision, ownership, and proof. Additionally, a SAS survey indicates 41% of insurers view poor data quality as the main hindrance to decision-making. Despite 94% of organizations recognizing connected data as critical for AI success, only 27% report having well-connected elements. The article outlines strategies for improving data reliability through product-like management and focused workflow stabilization.
RAC Connected introduces CalAmp CrashBoxx for real-time crash intelligence
RAC Connected has launched CalAmp CrashBoxx, an AI-driven solution for commercial fleets that provides real-time accident detection, event reconstruction, and predictive damage assessment. The system delivers first notice of loss within seconds by analysing telematics and video data to reduce false positives and improve response times. This integration allows operators to protect drivers, streamline claims, and mitigate fraud risk through accurate, data-led decision-making following incidents.
