ScaleOut Software offers in-memory computing solutions for operational intelligence, as self-described. They provide products like in-memory data grids and streaming analytics.

ScaleOut Software

ScaleOut Software | 968 followers on LinkedIn. Fast and Intuitive In-Memory Computing Platform for Analyzing Live Data. IIoT, Digital Twin, Stream Processing &amp; More | Founded in 2003, ScaleOut Software is a leading provider of in-memory computing software. The company offers a comprehensive suite of production-proven, fully supported software products for scalable, highly available, in-memory storage (distributed caching), stateful stream-processing with digital twin models, and data-parallel analytics for fast-changing data. These products enable businesses to meet the challenges of tracking and analyzing live data for real-time feedback and reporting.

Recently retired

Dan McMillan

Senior Software Engineer at ScaleOut Software

Olivier Tritschler

Software Engineer at ScaleOut Software

Brandon Ripley

Director of Engineering at ScaleOut Software

Mark Waterman

Thanks to Pete Goldin for including CEO Bill Bain's commentary in the DEVOPSdigest series "Exploring the Power of AI in Software Development." In the commentary, Bill discusses how AI code snippets can reduce the workload of software developers, but AI may not be suitable for large, complex projects. Check out the full article: https://bit.ly/4fFXVnd #AI #SoftwareDevelopment

Take a tour of the ScaleOut Product Suite with this new video. Learn how our industry-leading in-memory data storage, computing, and digital twin technology delivers scalable performance, high av, and WAN replication with ease of use that lowers TCO. https://bit.ly/3NlPykJ #InMemoryStorage #InMemoryComputing

In this video, discover how integrating gen AI with ScaleOut Digital Twins™ can enhance the accuracy of AI models using RAG. AI can also assist users in creating and visualizing real-time analytics with digital twins that track thousands of data sources. https://bit.ly/3Ypjf9x #DigitalTwins #AI #RAG

Check out this video to discover how to extract insights from real-time and simulation digital twin models in ScaleOut Digital Twins™. Learn how to build continuous queries and visualize aggregated results with tools that boost situational awareness. https://bit.ly/40jEjRj #DigitalTwins #Simulation #DataAnalytics

Watch this video to learn how to build digital twin models in ScaleOut Digital Twins™. This video guides you through the steps needed to build and test a simple IoT app using open-source APIs and then deploy it on ScaleOut’s in-memory platform. https://bit.ly/3zZeYS3 #DigitalTwins #IoT #APIs #OpenSource

Digital twins can monitor live data from thousands of IoT sources to provide instant insights. Watch our intro video on ScaleOut Digital Twins to learn how it can provide real-time alerting, use machine learning, and guide decision-making with simulation. https://bit.ly/4eZzsZS #DigitalTwins #IoT #MachineLearning #Simulation

Watch our latest video release to see how digital twins enhance situational awareness for field commanders by tracking large numbers of battlespace assets in real time. The video shows a simulation of a field exercise that illustrates how digital twins can track complex maneuvers. https://bit.ly/3NvaghS #DigitalTwins #Simulation #Battlespace

Read the Forbes Technology Council article featuring tips from 18 tech leaders, including CEO Bill Bain, discussing common causes of slow website performance. In the article, Bill explains the benefits of adding servers in a load-balanced “web farm” and using distributed caching to eliminate database bottlenecks. Check out the full article: https://bit.ly/3XZ4hrF

How software teams should prepare for the digital twin and AI revolution The convergence of digital twins and AI promises to drive transformative changes across many industries and software teams must prepare. https://lnkd.in/eJQwJWsD

Rick Spair

Check out CEO Bill Bain's article in SD Times , "How software teams should prepare for the digital twin and AI revolution" ( https://bit.ly/3BhSHip ). In this article, Bill discusses the opportunities for real-time monitoring and simulation offered by combining digital twins and AI. By analyzing live data in real time, digital twins can enhance AI outputs and mitigate challenges like hallucinations. This process, known as Retrieval-Augmented Generation (RAG), grounds AI insights, improving response accuracy and reducing errors in generalized AI models. In turn, integrating generative AI into digital twin deployments will help operations managers interpret analytics results and identify issues that might otherwise be missed. In the near future, AI will be able to help develop digital twin applications for real-time monitoring and simulation, unlocking important new capabilities across many industries. #AI #DigitalTwins #GenerativeAI #LiveData

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ScaleOut Software

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