OpenAI vs Claude on a RAG App: What Failed and What to Fix First
We put two of the most talked-about models head-to-head in a real-world RAG scenario, and the results might surprise you. Hemraj Bedassee , Delivery Excellence Practitioner,
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Gemini and OSS text embeddings are now in BigQuery ML
In addition to its existing text embedding models, you can now use both Google’s Gemini and open-source (OSS) models directly within BigQuery.
Agentic AI Adoption Soars, Tech Job Growth Stalls, Study Shows
The promise of agentic AI is huge. But how is it impacting the enterprise and the developers and IT professionals most likely to be working with it right now? To find out, Kong evaluated labor market data and surveyed 550 tech leaders, developers, IT decision-makers, and Kong users.
What are the trade-offs between using open-source tools and a commercial solution?
Open source brings real power, but its goals may not match your organization. Look at community health, whether it fits your use case, and how you will handle support, updates, and patches. Consider the integrations your stack requires. Weigh these against a commercial platform that offers formal support, a roadmap, and hosted infrastructure to reduce your maintenance burden. — Coty Rosenblath, CTO at Katalon.
Qlik Trust Score for AI
In today’s AI era, everyone wants quick answers and instant outcomes. But without trusted data, those AI “wishes” can quickly backfire. That’s why Qlik created the patented Qlik AI Trust Score, now available in Qlik Talend Cloud - Qlik’s unified, enterprise-grade platform for data integration and data quality in the cloud.
Shaping the Future of AI: A2A + Data Streaming | Life Is But A Stream Podcast
All AI problems are data problems—and one of the biggest is getting AI agents to talk to each other. This special episode with Sean Falconer dives into how agents built by different teams often end up stranded in “intelligence silos,” unable to collaborate or share context. The result? Fragmented AI that struggles to deliver real business value.
When AI Agents Can't Talk: The Problem of Intelligence Silos
AI agents are only as powerful as the data they can access and share. Confluent’s Sean Falconer explains how when agents can’t communicate effectively, intelligence silos form, limiting their potential and slowing innovation.
Multi-Cloud API and AI Infra Gets Smarter: Managed Redis for Kong DCGW
Modern enterprises are embracing multi-cloud strategies to avoid vendor lock-in, optimize costs, and ensure resilience. Yet managing API infrastructure (which also happens to be AI infrastructure) across multiple cloud providers while maintaining performance and simplicity remains a significant challenge.
Celebrating IT Professionals Day: Turning AI Wishes Into Trusted Outcomes
IT Professionals Day is our opportunity to celebrate the people who keep the digital world running - the ones who make sure data is secure, reliable, and ready to power innovation. At Qlik, we know IT professionals aren’t just solving problems, they’re enabling possibilities.
How to introduce AI Tools into your QA process successfully
Every QA engineer has felt the crunch: tighter deadlines, growing complexity, and the same old expectation that everything must work perfectly by release day. It’s not an easy balance. That’s why AI in software testing has become such a hot topic. It promises faster test case generation, smarter insights, and support with tasks that usually eat up hours of time. But let’s be clear: AI isn’t here to replace testers.