How reverse ETL helps marketing teams
Learn how leading brands elevate segmentation, personalization, and ROI through reverse ETL.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Generative AI in Healthcare: Technology, Use Cases, Trends & Future Outlook
The healthcare industry stands at the cusp of a revolutionary change, driven by an emerging technology that can do more than just analyse data; it can create it. That technology is Generative AI, or GenAI, and its arrival in medicine is being hailed as the next frontier in personalised, efficient, and predictive patient care.
The Ultimate Guide to EHR-CRM Integration: Benefits, Use Cases & Best Practices
As clinical data grows and patient expectations shift toward personalised communication, EHR-CRM Integration has emerged as a foundational capability for modern healthcare systems. On one side, the Electronic Health Record (EHR) system stands as the repository of vital clinical information, documenting everything from diagnoses and lab results to treatment plans.
Beyond Numbers, Metrics that matter in AI Age | Brijesh Deb | Testflix 2025 | #testingcommunity
AI has transformed how software is built and tested, yet many teams still rely on traditional metrics like pass rates, coverage, and defect counts. While these numbers look good on dashboards, they often fail to answer the most important question in the AI era. Can we actually trust what the system is doing?
Agentic QA Workflow | Krishnamoorthy Gurramkonda | Testflix 2025 | #testingcommunity
Agentic code generation has dramatically accelerated development, but QA often remains slowed by coordination gaps. Manual planning, delayed handoffs, and fragmented reviews continue to create friction, while AI agents operate in isolation without orchestration or governance. This session explores how to compose these siloed agents into a unified, AI-powered STLC where workflows are dependency-aware, auditable, and automatically triggered as soon as prerequisites are met.
Swagger in 2025: Accelerating the Journey to AI-Ready API Quality
2025 underscored a simple reality: APIs are now expected to serve both human developers and intelligent systems, and the tools supporting those APIs must evolve just as quickly. Major cloud providers (OpenAI, Google Cloud, Azure, AWS, Hugging Face, Cohere, etc.) now earn significant revenue by exposing their capabilities via APIs, which are then chained by other AI systems to build chatbots, copilots, and autonomous agents.
Crowdtesting Meets AI: 5 Platforms That Actually Deliver Results
Traditional crowdsourced testing has always promised scale, but it’s often come with headaches.
Model Based Testing: Benefits, Use Cases & Best Practices
Every digital experience we rely on – from booking cabs to transferring money — runs on dynamic, interconnected software systems. The speed at which applications are evolving is much faster than the traditional test approach can keep up with. Manual scripting breaks whenever there is a change to the user interface; automation will require regular maintenance to fix the automated scripts; and teams are continually losing confidence in the release stability.
Why ClearML's AI Application Gateway is a Critical Layer for Secure, Scalable AI Development Environments
As organizations expand their AI initiatives, they increasingly need to provide users, be they data scientists, AI/ML engineers, researchers, or application developers, with secure access to interactive development environments such as JupyterLab, VS Code, or other internal tools.