Systems | Development | Analytics | API | Testing

logilica

Boost Insights with Logilica's AI Advisor

Jul 2, 2025 By Alice Cui In Logilica
In today’s data-driven environment, there is truly no end to the overwhelming amount of information that both contributors and users have access to. People often spend hours combing through logs trying to piece information into usable goods. This turns what could be swift, data-driven decisions, into time-consuming challenges that slow down innovation.
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confluent

From Pawns to Pipelines: Stream Processing Fundamentals Through Chess

Jul 2, 2025 By Vish Srinivasan In Confluent
We understand new concepts by linking them to familiar ones. These analogies aren’t just helpful; they’re how we think. For me, that something familiar is chess, and I’ll use it to explain some of the core ideas behind stream processing—a concept that requires a shift from seeing tables as static snapshots to treating tables as materialized projections of a continuous stream of changes.
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Top 10 Reasons to Move to Qlik Cloud

Jul 2, 2025 By Qlik In Qlik
If you're still using Qlik Sense on Windows, it's time to consider a smarter, more powerful alternative. Qlik Cloud Analytics is purpose-built for modern data needs, offering a next-generation platform that combines AI-driven insights, automation, and enterprise-grade security—all without the overhead of traditional infrastructure. In this video, we’ll explore the top 10 reasons why migrating to Qlik Cloud is not just an upgrade, but a strategic move to accelerate innovation, enhance collaboration, and reduce costs across your organization.
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astera

Presenting Astera AI: The Agentic Data Stack For Your Enterprise Data Management

Jul 2, 2025 By Raza Ahmed Khan In Astera
As enterprise data increases in volume, variety, and velocity, the need for a new data architecture is becoming clearer. As AI moves from generative to agentic, can enterprises also envision and adopt an agentic data architecture? It’s true that we’re already seeing AI agents implemented in functions such as customer support and marketing. But what if we could do the same for data management?
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Part 1 - Integrate Qlik Automate with Qlik Cloud Analytics - Taking Action on your Findings

Jul 1, 2025 By Qlik In Qlik
This video first demonstrates what is possible when integrating Qlik Automate with Qlik Cloud Analytics. Part 1 - demonstrates a more advanced example using an extension that calls a Qlik Automate Workflow to send a dynamic email message to the selected customer about their order. Part 2 - The Basics - in progress.
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Cortex Agents | Built[By] Danmei Xu

Jul 1, 2025 By Snowflake Inc. In Snowflake
Cortex Agents are changing how Snowflake customers access insights across structured and unstructured data—but they didn’t build themselves. In this Built spotlight, Senior Software Engineer Danmei Xu shares how her team brought Cortex Agents to life by combining powerful LLMs, retrieval systems, and thoughtful orchestration.
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ClearML

Maximizing GPU Utilization with ClearML's Dynamic Fractional GPUs: Unleashing the Full Power of Your AI Infrastructure

Jul 1, 2025 By Erez Schnaider In ClearML
In the world of AI, GPUs have become the undisputed workhorses of innovation. From training deep learning models to accelerating agentic workflows, digital twins, and scientific simulations, these powerful accelerators are indispensable. However, the immense computational power of GPUs comes with a significant investment.
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databox

HubSpot Reporting Dashboards Used by Revenue Experts: Real Templates, Pro Tips

Jul 1, 2025 By Ali Orlando Wert In Databox
As a current HubSpot user and veteran of a HubSpot partner agency, I know first-hand how powerful HubSpot is. And they’ve built a lot of great reporting enhancements into the platform over the last few years. And yet – we still hear that even the best HubSpot power users run into limitations (in functionality, pricing, or both).
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confluent

Developer Experience in the Age of AI: Developing a Copilot Chat Extension for Data Streaming Engineers

Jul 1, 2025 By Lucia Cerchie In Confluent
Three in 4 programmers have tried artificial intelligence (AI). This factoid comes from a recent Wired survey on the habits of engineers with respect to AI tooling like GitHub Copilot. Though Wired used a pool of only around 700 engineers, Gartner’s prediction from a year ago was that 75% of enterprise software engineers would use AI by 2028. To many of us, it’s starting to feel like that’s already happened.
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