Systems | Development | Analytics | API | Testing

Logi Symphony Deployment Guide: AWS, Azure & GCP

Your users want live insights inside the tools they already use, not another standalone BI platform. This walkthrough shows how Logi Symphony deploys across AWS, Azure, and GCP, letting you embed analytics anywhere your product lives while maintaining complete control over your data and security. Get all the advantages of public cloud—automation, elasticity, and speed—without sacrificing governance. See how to deploy in minutes using managed Kubernetes and Helm, with self-healing infrastructure that scales automatically. Logi Symphony delivers modern cloud analytics with the freedom to deploy wherever your business demands.

Building Your Next-Gen Lakehouse with Qlik, AWS, and Apache Iceberg

Real-time analytics has become a cornerstone of modern enterprises. Businesses are no longer satisfied with waiting hours or days for insights—they demand answers in seconds. The rise of AI, machine learning, and generative AI has only accelerated this need, putting immense pressure on data platforms to deliver reliable, scalable, and flexible architectures.

What Is Causing AI Hallucinations With Analytics?

You’re presenting AI-generated analysis in your quarterly strategy meeting. The slides are polished, the insights look solid, and you’re ready to move the conversation forward. Then the CFO leans forward: “Where did this number come from? I reviewed this data last week and something doesn’t add up.”

A Cyberattack Won't Start With a Warning. It Starts With Your Files.

October marks Cybersecurity Awareness Month. It’s a timely reminder that the files you touch, share, and rely on every day often hold your most valuable data and are exactly what attackers are after. Unstructured data, like spreadsheets, documents, logs, and backups, makes up the majority of your business data. That’s what makes it the prime target for ransomware.

How Multi-Kafka impacts data replication strategy

Imagine an airline system monitoring traffic around an airport. If it detects a major delay, countless systems may need to react instantly: Ground operations to adjust flows. Some of these systems will still connect via API, traditional MQ or iPaaS technologies, but the data’s volume and urgency and the ease of decoupling apps make architecting with Kafka the better fit. The natural question is: should all these applications & systems connect to the same Kafka cluster?

Confluent: The Real-Time Backbone for Agentic Systems

In the evolving landscape of agentic systems, Confluent and Google Cloud together emerge as critical enablers, providing the real-time infrastructure that underpins efficient, reliable, and intelligent data flow. This powerful synergy addresses key challenges in agent-to-agent (A2A) communication, interaction with external resources, and the overall stability and observability of complex multi-agent environments.

Master Data Management: What It Is & How MDM Tools Can Organize ERP Data for Enhanced Business Intelligence

Summarize with AI: ChatGPT Claude Google AI Mode Grok Perplexity In today’s data-driven world, business intelligence and analytics play a huge role in better understanding your customers, improving your operations, and making actionable business decisions. While there’s no doubt about the value of implementing a BI solution, many ERP users face the same challenges around the quality and credibility of their data.

[Previous] Product Spotlight: AI is the new BI - Full Session

Welcome to a new era of analytics—where AI isn’t just a feature, it is BI. In this previous product spotlight, ThoughtSpot unveils six groundbreaking capabilities that let users move beyond dashboards to agentic analytics—asking questions and getting answers instantly. What you’ll see: If you’ve ever been frustrated with static dashboards, lagging insights, or endless analyst requests—you’ll want to watch this.