Systems | Development | Analytics | API | Testing

Ep 28 | Engineering for GenAI: Lessons from Past Hype Cycles with Ryan Ries of Mission Cloud

Generative AI is entering the enterprise at scale, following patterns set by the rise of cloud computing. As organizations shift from buying tools to building custom solutions, architecture and integration become key to long-term success.

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.

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.

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.