Generative AI is transforming the world of software testing! We will delve deep into backend architecture of how Gen AI is designed, how it processes the commands given, the deep learning architecture of Gen AI tools , the innovative techniques and tools powered by AI that are enhancing the efficiency and accuracy of testing processes. Generative AI is not just a buzzword; it's a game-changer in the realm of software testing. By harnessing the power of AI, software testers can achieve unprecedented levels of efficiency and accuracy. This session will equip the audience with the knowledge and tools to be at the forefront of this technological revolution. This session is suitable for anyone, whether new to Software Testing or an experienced professional, to unlock the full potential of Generative AI and transform the testing process into something faster, smarter, and more efficient. We shall odyssey through a spectrum of topics, from the basics to advanced, real-world applications that the audience can immediately put into practice at work.
In this webinar we will provide a comprehensive understanding of ChatGPT and its applications in QA and we will try to explore ChatGPT specifically for QA testing scenarios, including creating conversational test cases, generating test data, and automating the testing process using Selenium, Mobile testing etc.
This webinar will be beneficial to Business Analysts, Business Intelligence Engineers, QA Engineers and Testers looking to stay ahead of the curve, Software Developers interested in leveraging AI for testing and Tech enthusiasts eager to learn about cutting-edge AI applications.
By joining this webinar, you will:
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Know backend working of Generative AI kind of tools like ChatGPT which is based on deep learning architecture’s
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How GenAI tools are developed, and how they process their interaction with human prompts.
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Harnessing the power of Generative AI for more productive work outcomes.
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Cover the use of Generative AI for Testers – The basics of Generative AI and its applications in software testing.
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Understand the benefits of using AI in Software Testing
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Get Tips and best practices for integrating AI into your testing strategy.
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Comprehend Practical Implementation of AI Technology in manual testing and automating test case generation.
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Enhance test coverage and reduce testing time with AI.
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Find real-world examples and case studies of AI in action.
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Get glimpse of future Trends in AI, Analysis and Testing
Speaker: Dr. Ranita Ganguly is an IEEE member and Quality Consultant at 3D Technologies LLC, who has made substantial contributions to the field of Mobile computing with profound commitment to Mobile Learning and Mobile Technology. She is consistently trying to exhibit technical excellence, creativity, and leadership throughout her career. She is committed to advancing her profession and supporting fellow engineers. She is a Fellow member in Hackathon Raptors, IICSPA, and RSA due to her qualities and professional achievements. She is recognized due to her technical expertise, contributions to the field, and active involvement in the community. Dr. Ganguly has a Doctorate degree from Delaware State University and Masters from University of Pune.
http://goog_117760128/
Google Scholar: https://scholar.google.com/citations?user=7Ycu5EMAAAAJ&hl=en
Linkedin Profile: https://www.linkedin.com/in/dr-ranita-ganguly-0a904534/
Co-Speaker: Priyam Ganguly is a seasoned data analyst with considerable exposure in the FinTech, energy, and telecommunication sectors. As a present data analyst for Hanwha QCells America, he creates effective business dashboards and automated data processes that assist the high levels of management in making decisions. With the use of Tableau Prep Builder software, Priyam can turn data into insights, viewing analytics as an integral part of organizational strategy and business operations. The evolution of Priyam’s career at S&S Truck Parts and SBI Cards further showcases his adaptability within analytics. At S&S Truck Parts, he optimized supply chain analytics through the creation of an automated dashboard, while at SBI Card he employed market basket analysis to increase the penetration of credit cards. His insights that were directed at the client assisted SBI Cards in working out how best to improve the product coverage.He is also a data storyteller, so it takes no time for him to turn analytics into a story for the layperson, integrating technical details with real business consequences. He holds an IEEE publication in the areas of machine learning and predictive analytics and also engages in academic research, aside from his industry practice. Additionally, Priyam has engineered a robust database schema and flexible stored procedures that handle complex incremental report generation models, showcasing technical excellence in data management. He has also created adaptable Excel DLLs that transformed traditional Excel formulas into efficient code, revolutionizing the validation process and ensuring data accuracy."
Linkedin Profile: https://www.linkedin.com/in/priyam-ganguly-3743a566/
Virtual: https://events.vtools.ieee.org/m/462687
