How 3 global enterprises make real-time decisions with Fivetran
Autodesk, Envision Pharma, and Cemex use Fivetran and Snowflake for real-time analytics and faster decision-making.
SAP Datasphere vs. modern data platforms
In this second blog in a multi-part series, learn how SAP attempts to limit customer choice and discourages customers from accessing SAP data in third-party data platforms.
How to proceed with a Dashboard Proof of Concept (PoC): Best Practices
Welcome to the latest entry in Yellowfin Japan’s long-running ‘How to?’ blog series. This series of blogs aims to provide a step-by-step guide of how to get the most out of your Yellowfin BI experience, such as how to create your own Yellowfin dashboards. Catch up on the series below.
Agentic AI and Real-Time Stream Processing | Current'25 Bytes
We love our Current 2025 attendees! That’s why we want to hear their insights on all things data streaming. Check out Steffen’s thoughts on how real-time stream processing and event-driven architecture will enable agentic AI in the years to come.
Why Stream Sharing Changed Everything
Allium powers real-time data feeds across organizations and blockchains. Ethan Chan shares how Stream Sharing in Confluent Cloud is a game changer.
Prepare and Clean Education Data for Reports Instantly by Typing What You Need | Demo
Transform Raw Education Data into Reports Instantly by Typing What You Need Whether it's student records, attendance logs, or academic performance data, preparing education datasets is now easier than ever. With Astera’s AI-powered Data Prep, educators and analysts can clean, filter, and reshape education datasets using simple natural language commands. No technical expertise required. See how easily you can turn scattered education datasets into structured, report-ready insights through a chat-based interface.
Beyond Banking: The Journey Into AI-Powered Customer Experiences
In this episode of the "Data Cloud Podcast," Dana Gardner, Principal Analyst at Interarbor Solutions, sits down with Ameesh Paleja, Executive Vice President of Enterprise Platform Technology at Capital One. They explore how Capital One leverages modern data architecture, automation, and AI to improve customer interactions and experiences. The conversation delves into the importance of standardized data, the role of AI-driven personalized services, and the integration of marketing and AI strategies.
Agentic RAG AI: Why It's the Future of BI Insights and Analytics Tools
If your BI and analytics tool isn’t powered by Agentic RAG AI, you’re missing out on advanced AI capabilities that enhance efficiency and visibility into data. Whereas agentic AI can work autonomously and without human intervention, RAGI AI combines the best information retrieval methods available with the power of AI. The result is deep knowledge of organizational data that improves over time.
Introducing the ThoughtSpot Visualization Platform
Whether you're exploring trends, uncovering outliers, or designing presentations that tell a compelling story, your insights should be connected and pervasive. It's no longer enough to simply see your data. You need a fluid, intuitive experience that empowers you to find next-level insights faster. We’re thrilled to announce ThoughtSpot’s new-and-improved visualization platform, built with integrated intelligence to empower limitless interactivity.
Meet Muze: ThoughtSpot's native visualization engine
Business intelligence platforms analyze vast amounts of data, requiring visualization engines that balance performance, flexibility, and ease of use. Traditional charting libraries treat each chart type as a distinct entity, requiring separate logic and code for each. This approach leads to code duplication, limited reusability, and reduced maintainability. Additionally, it’s cumbersome to effectively layer or combine visual elements due to these libraries’ rigid composability.