Understanding and Managing Flaky Tests in Test Automation
Introduction Every Software Testing Professional who has worked with test automation has likely encountered flaky tests in the test automation […]
💡 Did You Know India’s GCCs Are Set to Hire Over 4.5 Million Professionals by 2030?
From back-office support to global innovation powerhouses—India’s Global Capability Centers (GCCs) are rewriting the rules of work. And with salaries,
Meta’s AI App: A New Era of Personalized AI Experiences
In a strategic move to compete with leading AI assistants like ChatGPT, Meta has launched a standalone AI app. This
Revolutionizing Real-Time Ads Data: Zomato’s Flink SQL Transformation
Zomato’s Data Platform and Ads teams recently embarked on a mission to overhaul their real-time data streaming architecture, targeting the
Transforming Team Knowledge: How to Build an AI-Driven Knowledge Base In-House
Creating an intelligent, AI-powered knowledge base for internal teams is now more accessible and cost-effective than ever before. With the
Empowering Developer Teams: A Strategic Guide to AI Adoption
Artificial intelligence is rapidly transforming the landscape of software development, but successful adoption within engineering teams requires more than just
Structured vs. Unstructured Data: What’s the Difference?
Every year, hundreds of billions of data is generated in various industries. Every little piece of information, whether it be
Technical Debt: Everything You Need to Know
Whether you’re a startup racing to launch an MVP or an enterprise pushing frequent feature releases, delivering quickly is a
What Are AI Agents?
As artificial intelligence continues to evolve, one of the most transformative concepts emerging is that of AI agents. Unlike traditional
 What is Agentic AI: Gen AI vs Agentic AI
Artificial Intelligence is evolving at a rapid pace. Just a few years ago, generative AI tools like ChatGPT and DALL·E
Entry and Exit Criteria in Software Testing: When To Stop Software Testing
In software testing, knowing when to start and when to stop testing is not always clear. Without defined checkpoints, teams
What are Small Language Models (SLMs)?
Small Language Models (SLMs) are a form of condensed Large Language Models (LLMs). SLMs have fewer parameters that make them