Venkata Krishna Jonnabhatla

The future of software quality is advancing towards intelligence. The global tech landscape is abuzz with the transformative potential of Generative AI and traditional AI in reshaping Automation Testing. Picture a scenario where test cycles are expedited, efforts minimized and unparalleled levels of efficiency and quality achieved – all propelled by intelligent technology. GenAI and AI have transitioned from futuristic ideas to practical solutions revolutionizing the testing phase: - **Accelerated Test Creation:** GenAI tools like Tricentis Tosca's Test Case Design and features in platforms like Testim can autonomously generate test cases from requirements and user stories, significantly expediting test design processes. - **Intelligent Test Optimization:** AI algorithms scrutinize test execution patterns to fine-tune test suites, prioritize critical tests, and pinpoint redundant ones. Tools such as Mabl and Functionize harness AI to streamline test execution effectively and reduce maintenance overhead. - **Enhanced Defect Detection:** AI-driven visual testing tools like Applitools can detect subtle UI variations beyond conventional assertions. Predictive analytics embedded in platforms like LambdaTest's Test Intelligence can preemptively flag potential issues. - **Smarter Test Maintenance:** Self-healing capabilities, empowered by AI in tools like Testim and ACCELQ, automatically adjust to UI alterations, lessening the burden of test maintenance. Embracing GenAI and AI in automation testing is pivotal for staying competitive and delivering superior software quality swiftly. #GenAI #AI #AutomationTesting #SoftwareQuality #AITesting #HyderabadTech #FutureofTesting

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Enjoyed collaborating with Josephine Joyce on this DZone article: https://lnkd.in/gAhNzXd9 . In Performance-Focused Platform Engineering, we explore why platform teams must evolve beyond enablement and start engineering for measurable performance outcomes. Curious to hear how others are thinking about this. #PlatformEngineering #DevOps #SRE #CloudNative #IDP

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FABCON 2026 in Atlanta was nothing short of mesmerizing-where bold ideas, breakthrough tech, and real-world impact came together seamlessly. An electrifying blend of vision, innovation, and execution that set the tone for the future of data and AI. Now, it’s a wait-and-watch moment to see how much of it proves truly real, scalable, and competitively differentiated. ** AI Foundry: Fabric IQ is positioned as a capability that makes data AI-consumable for agents and AI apps via OneLake ** OneLake Transform transformations are applied on top of shortcut or mirrored data (zero‑copy, zero‑ETL), preserving the original source while exposing a transformed view in OneLake. New Connectors have been added (SharePoint in preview). ** Data and Catalog mirroring / zero copy options across open table formats from snowflake and Databricks into Fabric ** SAP Fabric and Salesforce Fabric version with zero copy and write back functionality ** Availability of CoPilot across various platforms within Fabric exclusively designed to support that platform only ** Fabric AI and Data Agents ** Zero ETL Data Mirroring onto Onelake from Azure data for PostgreSQL. Analytics on Operational workloads made simple. ** Building declarative AI Pipelines made simpler with dspy and pixeltable Thanks to Cognizant leadership for the opportunity. Rajesh SreepadaSatish Hegde FABCON & SQLCON - The Microsoft Fabric & SQL Community Conferences Microsoft Fabric

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