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See Bill’s latest Forbes article, “Unleashing The Power Of AI To Manage Live Systems.” Written by CEO William Bain, a member of the Forbes Technology Council, the article explains why the convergence of AI and real-time analytics with digital twins offers a genuine breakthrough in managing live systems. Today’s AI models typically rely on slowly changing data sources, like databases, for retrieval augmented generation (RAG). As a result, they can only analyze a system’s recent past rather than its dynamic state. Without live operational data, AI remains retrospective, reacting to past issues but unable to detect emerging ones. Connecting AI to streaming pipelines does not solve the problem because this approach does not provide important context about the system’s structure. The AI model’s underlying data layer must provide both live telemetry and context about each asset, such as its role within the system. An in-memory digital twin can provide the data layer that AI needs. Its virtual, continuously updated software representation of a live system gives AI fast, scalable access to the system’s changing state using a structured model of its organization. It enables AI RAG to access live data within a context that is essential for unlocking deep introspection. Across industries, integrating AI with in-memory digital twins offers fundamentally new capabilities for managing live systems. How far those capabilities will extend is still being discovered. Read the full article: https://lnkd.in/gAr8dp8r #DigitalTwins #RealTimeAnalytics #InMemoryComputing

Check out our latest RFID Journal article, "What World Cup 2026 Teaches Us About Peak Demand and How to Survive It": https://lnkd.in/g4WyHBc6. Written by CEO William Bain, the article explains how live data management systems fail under synchronized demand surges like those seen at high visibility events. It explains how conventional data caching techniques may not be sufficient and how a new technology called active caching can keep these systems responsive. The 2022 World Cup final drew 1.4 billion viewers globally, creating synchronized surges that expose a core weakness in the digital infrastructure behind them. Like similar challenges during Super Bowl LVIII in 2024, the issue was likely not capacity planning. It was coordination: when everyone requests the same information at the same second, systems built for average demand break under the weight of identical, simultaneous requests. Distributed caching helps tame peak load by keeping frequently accessed data in memory spread across a cluster of servers, reducing back-end requests. But under peak load, data is constantly moving between cache and application servers. As the update volume grows, that back-and-forth across the network becomes a bottleneck. The data under the most pressure is what users care about most: match statistics, shopping carts, pricing updates, merchandise inventory, and ticket availability. Active caching takes the next step. Instead of moving data to application servers, active caching runs application logic where the data already lives, fetching or updating only the required data rather than entire objects. This reduces data motion across the network, lowers latency, and lets the distributed cache handle concurrent requests more efficiently. This new software technology creates the performance edge online systems need to handle peak workloads. You can learn more about ScaleOut Active Caching™ at https://lnkd.in/gG9V2Pg9

ScaleOut Active Caching™ delivers next-generation distributed caching. Create new data structures, process incoming messages in the cache, and boost performance in mission-critical applications.

ScaleOut Active Caching™: the next generation in distributed caching. Watch this video to learn how developers can embed application code directly in ScaleOut's distributed cache to accelerate performance and offload clients. Using API and message modules, you can embed strongly typed data structures written in C# or Java that work seamlessly with client APIs and external messaging sources, making applications faster and more scalable with reliable, object-oriented techniques.

ScaleOut Active Caching™: the next generation in distributed caching. Watch this video to learn how developers can embed application code directly in ScaleOut's distributed cache to accelerate performance and offload clients. Using API and message modules, you can embed strongly typed data structures written in C# or Java that work seamlessly with client APIs and external messaging sources, making applications faster and more scalable with reliable, object-oriented techniques.

ScaleOut Active Caching™: the next generation in distributed caching. Watch this video to learn how developers can embed application code directly in ScaleOut's distributed cache to accelerate performance and offload clients. Using API and message modules, you can embed strongly typed data structures written in C# or Java that work seamlessly with client APIs and external messaging sources, making applications faster and more scalable with reliable, object-oriented techniques.