Worldpay’s new AI-powered Authentication Optimization Service uses insights from billions of transactions to determine when to apply 3DS authentication. The service delivered significant authorization rate improvements during pilot testing. This represents a major step in balancing security with cus
Mondra, a London-based climate technology firm, has reportedly raised €11.8 million in Series A funding to accelerate its European expansion. The company’s AI platform helps food industry giants track environmental impact and anticipate supply chain disruptions.
London-based climate technology platform Mondra has reportedly secured €11.8 million (£10 million) in a Series A funding round, according to sources familiar with the matter. The investment was reportedly led by AlbionVC and Planet A Ventures, with participation from Swisscom, PeakBridge, Ponderosa Ventures and Green Circle Foodtech Ventures. This substantial funding round follows a £3.4 million (€4 million) Pre-Series A round completed last year.
Supply chain automation is becoming the new competitive standard as companies face persistent disruptions from tariffs, climate events, and labor shortages. Organizations with integrated systems and real-time visibility are transforming fragmented operations into agile ecosystems, according to industry analysis.
Global supply chains are undergoing a fundamental transformation as persistent disruptions become the new normal, with automated orchestration emerging as the critical differentiator between market leaders and laggards. According to industry analysis, companies that have invested in integrated, visible supply chain ecosystems are consistently outperforming competitors during periods of volatility.
Major Consolidation in Cybersecurity Intelligence In a significant move that signals continued consolidation in the cybersecurity intelligence sector, Dataminr has…
The Trust Imperative in AI-Driven Banking As financial institutions race to implement artificial intelligence across their operations, HSBC is taking…
A breakthrough smart metering device addresses critical data loss issues in power systems through integrated hardware and advanced AI. The system reportedly achieves optimal performance using TimesNet deep learning models across various missing data scenarios.
Power data monitoring systems frequently suffer from missing information due to sensor failures, communication delays, and equipment maintenance, according to recent research published in Scientific Reports. These gaps in data collection reportedly compromise the accuracy of critical power system operations including intelligent scheduling and load forecasting. Sources indicate the problem has become increasingly significant as smart grids rely more heavily on high-quality, continuous data for decision-making.
The Rise of an AI Infrastructure Powerhouse In a landmark funding announcement that solidifies its position in the rapidly evolving…
The New Frontier in Medical IoT Analytics As healthcare institutions worldwide grapple with the challenges of processing sensitive medical data…
Note: Featured image is for illustrative purposes only and does not represent any specific product, service, or entity mentioned in…
Note: Featured image is for illustrative purposes only and does not represent any specific product, service, or entity mentioned in…
