thoughtspot

AI for UX design: 5 best practices for product designers

Aug 19, 2025 By Megan Kard In ThoughtSpot
AI is no longer a fringe experiment: it’s a mainstream mandate. But with that shift comes a new kind of pressure: to act quickly, to appear modern, to bolt on something “intelligent” before someone else does. For many teams, this leads to reactive choices. Features get prioritized because they sound impressive, not because they solve a real user problem. Familiar interfaces get copied instead of questioned.
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confluent

New in Confluent Cloud: Unleashing Cost-Effective Streaming for Any Workload

Aug 19, 2025 By Hannah Miao In Confluent
Streaming at scale just got a lot more powerful and cost-effective. Our Q3 Confluent Cloud launch is packed with innovations to help you do more with less: reduce cloud networking costs while maintaining your security posture, scale effortlessly with boosted connection limits, and build production-ready agentic artificial intelligence (AI) applications with seamless tool integrations.
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confluent

Unleash Real-Time Agentic AI: Introducing Streaming Agents on Confluent Cloud

Aug 19, 2025 By Confluent Staff In Confluent
As AI models become commoditized, the conversation is shifting from building smarter models to building data infrastructure that turns models into real business value. Enterprises are accelerating their adoption of agentic AI—systems that don’t just predict but plan, decide, and act autonomously—across their software and operations.
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moesif

Moesif + Gloo Gateway: Deep API Analytics and Observability at the Edge

Aug 19, 2025 By Abu Sakib In Moesif
Solo.io Gloo Gateway gives teams a reliable way to secure, route, and monitor API traffic in real time. With its high-performance Envoy core and Kubernetes-native design, it meets the demands of distributed applications and modern service architectures. However, performance metrics alone don’t reveal how developers engage with your APIs or why adoption stalls.
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hitachi vantara

Lakehouse Logic: Why Object Storage is the New Analytics Engine

Aug 18, 2025 By Jens Doerpmund and Mark Geel In Hitachi Vantara
Data analytics boils down to a simple objective. To provide people – and increasingly AI agents – with the right information, in the right place, at the right time. That's it. It's easy to state. But historically difficult to achieve. The good news is the landscape is changing.
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InsightSoftware

ERP Data Struggles: How To Get Real-Time Reporting in Excel

Aug 18, 2025 By InsightSoftware In InsightSoftware
You can never have too much data, right? But sometimes it feels like that’s the problem when you’re trying to get your enterprise resource planning (ERP) system to play nice with Excel and quickly give you the reports you need. It’s a common challenge for finance teams, and you can fix it. Creating a bridge to make all that ERP data easily accessible in Excel is the key to getting the business intelligence (BI) reports you need quickly.
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Real-Time AI Agents Powered by Apache Kafka, Apache Flink, and Google Cloud

Aug 18, 2025 By Confluent In Confluent
Discover how developers and data teams can build agentic AI applications with the combined power of Google Cloud AI services and Confluent Cloud’s real-time data streaming platform. This video showcases the joint value of integrating Apache Kafka, Confluent Schema Registry, Kafka Connect, and Apache Flink to enable seamless, real-time communication between AI agents. What you’ll learn: With Confluent and Google Cloud, you can go beyond AI experiments to build scalable, enterprise-ready multi-agent systems powered by real-time data.
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qlik

From Digital Swamp to Strategic Asset: Taming QVD Chaos with a Data Product Mindset

Aug 15, 2025 By Don Pinto In Qlik
Data is supposed to be the lifeblood of innovation in today’s enterprises. We’re told to be data-driven, yet many organizations find themselves submerged in a digital swamp — murky, unstructured, and increasingly hard to navigate. Without a unified data management platform, data scale can quickly spiral into chaos — not because of technology limitations, but due to how data is handled, shared, and reused across teams.
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