Perforce Report Reveals 70% of Organizations Now Integrate AI into Core Workflows--From Content Creation to Code Testing
Version Control Usage Soared to 86% Across Industries (Up from 69% in 2024).
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Build Custom AI Workflows in Minutes with ClearML's Native Application Ecosystem
By Erez Schnaider, Technical Product Marketing Manager, ClearML The number of AI applications are rapidly increasing, and it can be difficult to keep up. Every month brings a new protocol, LLM, or tool. In this environment, the true strength of a platform is measured not only by its core features but also by its extensibility and adaptability to change. Many platforms address this challenge by hosting OSS tools or exposing API connections.
From Static to Smart: A ThoughtSpot Demo on Embedding AI-Powered Intelligence
Tired of staring at dashboards without understanding the why? This demo from our Boundaryless Launch shows you how to go from static metrics to dynamic, AI-powered insights. See how we’re embedding live analytics directly into applications, allowing users to: Watch now and see how you can transform your dashboards into a launchpad for smart, data-driven action.
BigQuery under the hood: Scalability, reliability and usability enhancements for gen AI inference
With recent performance improvements to BigQuery, users can expect gains in scalability, reliability, and usability across BigQuery and BigQuery ML.
Data Streaming: The Key to Tackling Data Challenges for AI Success
As artificial intelligence (AI) matures from experimentation into production use cases, the symbiotic relationship between data and AI becomes increasingly clear. To deliver real business impact—smarter automation, better customer experiences, and massive cost takeout—AI use cases are only as powerful as the data they’re running on.
How to Orchestrate Testing with the SmartBear MCP Server
Managing a large suite of automated tests, especially across multiple tools, can be overwhelming. The SmartBear MCP (Model Context Protocol) Server centralizes orchestration, monitoring, and prioritization so you can keep pipelines fast, reliable, and easy to manage. The demo video below shows MCP in action, and the sections that follow explain how each capability can help you get more out of both open-source and commercial testing tools. Explore these docs to learn how to get started.
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.
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.
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,
Troubleshooting Microservices with AI
Ever found yourself saying, "But it works on my machine!" when a bug pops up in a microservices environment? It's a common and frustrating problem. Unlike a monolithic application, microservices are a collection of independently deployed services that communicate with each other. This complexity makes it difficult to reproduce real-world issues on your local machine, as you may not have all the necessary services and dependencies running. But what if you could take a snapshot of a running application's behavior and bring it home for debugging?