How Row64 Aids Fraud Prevention
This new video shows Row64’s use in fraud detection, helping teams spot threats the moment they appear.
Row64 V3.5 Is Here!
**Row64 Unveils Version 3.5 with Enhanced Features and Performance** In a significant update, Row64 has released Version 3.5 of its software, packed with new features and performance enhancements. The latest iteration focuses on streaming data, asset management, performance optimizations, and improved user experience. **Key Features:** 1. **Streaming Support**: Enables high-speed streaming workflows, seamless integration with Kafka and Delta Stream, and real-time dashboard updates with cross-filtering support. 2. **Asset & File Management**: Allows users to manage and view various file types, including PDFs, DWGs, and video files, with customizable file management via the JavaScript API. 3. **Speed & Performance**: Features new server GPU compute acceleration, enhanced server CPU compute multi-threading, and a new benchmarking CLI to optimize server setup. 4. **User Experience**: Offers a streamlined UX for dashboard creation and editing, enhanced logs and error handling, and new markers and color themes. 5. **Dashboard Enhancements**: Includes easier multi-column sorting, auto-resizing, and geo selection, simplified file uploads and previews, and optional data frame downloads. **Conclusion:** Row64 Version 3.5 represents a significant milestone in the company's development journey, showcasing its commitment to innovation and customer satisfaction. With its enhanced features and performance, the latest release is poised to meet the evolving needs of users and propel the company forward in the competitive software landscape
Announcing our $4M Seed Funding Round
Row64, a pioneering enterprise software company, has raised a $4 million seed round led by Galaxy Interactive, with participation from Alumni Ventures and Differential Ventures. This significant milestone validates Row64's mission to empower businesses to make decisions with clarity and confidence in today's fast-paced, data-driven world. Founded to address the limitations of legacy business intelligence systems, Row64 has developed a real-time visual intelligence platform that enables enterprises to interact with and analyze massive datasets instantly.
Version 3.4 Highlights
A new software platform has been developed that enables users to work with vast amounts of data, including up to 1 billion records, in real-time. Key features include: Next-generation visual analytics capabilities, including automatic cross-filtering and support for complex data types such as images and text, Advanced geo-analysis tools and real-time data connections, Scalability, with a single instance server costing under $5,000, Simplified toolchain for data ingestion, analysis, and visualization, Compliance and security features, including HTTPS and fine-grain user roles and permissions, Accessibility for technical and non-technical users through a purpose-built IDE and Excel formulas, Robust API for multi-model input and AI automation, Cross-platform compatibility, including mobile and tablet support. This platform aims to revolutionize data application creation, debugging, and deployment by making it easy to work with large data sets and by providing a range of tools and features to support complex data analysis and visualization.
Data Center CPU Trends
As the artificial intelligence (AI) sector experiences rapid growth, the spotlight on data center hardware has largely been on Graphics Processing Units (GPUs). However, a closer examination reveals several significant trends with Central Processing Units (CPUs) that will fundamentally impact how software applications are created and deployed. A new video delves into these trends, shedding light on their potential implications for the development and rollout of software applications.
Integrated GPUs and the Rise of the GPU Dashboard
WebGL, has enabled high-quality graphics rendering and interaction in web browsers without plugins. WebGL 2.0, integrated GPUs, and browser updates have unleashed unprecedented browser-based visual quality and performance. This enables data exploration, visual analysis, and real-time tracking across various domains, making it accessible to diverse audiences.
GPU Selection is Revolutionizing Dashboards
Row64's real-time visual analytics enables companies to efficiently analyze large data sets, allowing users to drill down to record-level detail instantly. This eliminates the need for manual summarization or program integration, saving time and resources. The company demonstrates this capability with use cases in power grid management, demographic research, and organizational chart analysis, showcasing the vast potential of real-time data for businesses.
Unveiling The Future of Geospatial Dashboards
Geospatial analysis, a key component of data science, is expected to grow 17.7% by 2027. However, challenges persist: it's a complex skill to master, software struggles with large datasets and diverse data types. Our innovative, browser-based dashboard solves these issues, featuring: real-time cross-filtering, dynamic record inspection, and time-lapse animation capabilities.
Unleash the Power of GPU Geo-Analysis For Business With Row64
Geo-analysis is transforming the way businesses make decisions by turning past numeric data into spatial insights. By leveraging visual information, organizations can uncover complex patterns and make decisions 5x faster. However, traditional geo-analysis software has been hindered by difficulty and slow performance. To address this, Row64 has developed GPU-accelerated data visualization, including fast Geoanalysis, to streamline the process.
Understand Customer Sentiment Using Product Review Data
Row64 Dashboards has released a new platform that enables easy sentiment analysis from varied text sources. The platform allows dynamic data interaction, sentiment analysis and filtering, and cross-filtering for deeper insights. The tool can analyze unstructured data from sources like product reviews, social media, and customer support interactions. With its advanced analytics capabilities, businesses can understand customer sentiment, improve products and services, and gain a competitive edge.
Introduction to Sentiment Analysis Using Product Review Data
Understanding sentiment with product review data
Leveraging the Synergy of SQL, Python, and A1 Notation for High-Speed Data Analysis
The following describes how Row64 dashboards combine Excel-style A1 notation with SQL databases to broaden the reach and power of dashboards for both technical and non-technical users.
The Internet’s Best Data Visualizations 2022
Data visualizations have been used to make the understanding of data easier, faster, and more intuitive. Ever since the world's first data visualizations credited to Flemish astronomer Michael Van Langren in 1644 data visualization has exploded with the amount of information on offer to the public, we thought it beneficial to highlight our favorite data visualisations to date. To make our list easy to digest we highlight each post' type of the data visualizer, as well as the source and link to original project.
Row64 V2.0 - Redefining Data Speed, Visualization and Collaboration
Pepperdine Graziadio Business School Students Pioneer Course Streamlining Data Science Using GPU Technology
What Is A GPU Spreadsheet? A Complete Guide
A GPU spreadsheet is a software that takes advantage of the graphics processing unit ( GPU) of a computer. The main benefit is improved speed and scale of calculations, but enabling the GPU isn't as simple as flipping a button. In order for any function to be allocated to a GPU it needs to actually be coded in its own language.
What Is Visual Analytics and How Can It Help Your Business?
Visual analytics is the means of exploring and analyzing data sets entirely within a visual interface. It's truly whatever helps you and your audience more quickly and clearly understand and convey the desired information, say experts.
Enter the Future of Data Visualization with Row64
Row64 At GTC 21
Then Is Now - A6000 Reality Engine
Build Your Own Data Science Supercomputer