Revolutionizing Test Automation: Harnessing Generative AI to Empower Product Management and Accelerate SDLC

In this comprehensive workshop, we delve into the transformative power of Generative AI in the realm of test automation, unveiling strategies to achieve a staggering 95% reduction in time investment. Participants will gain insights into shifting a significant portion, ranging from 90% to 100%, of test automation tasks to the product management team, thus fostering a more collaborative and efficient workflow. The session will explore advanced techniques to enhance the Software Development Life Cycle (SDLC), enabling participants to accelerate development pace by up to 30% while substantially decreasing the occurrence of bugs in production by up to 90%. Moreover, we will dissect the role of Generative AI in revolutionizing the maintenance of end-to-end tests, presenting a groundbreaking approach that could diminish the associated effort by a remarkable 98%. This session promises to equip attendees with cutting-edge knowledge and practical skills to harness the full potential of Generative AI in elevating test automation and overall product quality.

Presenting on how to leverage Generative AI for test automation and shifting significant workload to the product management organization can provide substantial value to your audience in several ways:

Time Efficiency: By demonstrating how to save 95% of time on test automation, you're presenting a method that could drastically reduce manual effort and time spent on repetitive testing tasks. This is highly valuable for professionals looking to optimize their workflows and focus on more strategic tasks.

Resource Reallocation: Moving 90%-100% of the work to the product management organization could imply a more strategic use of skills and resources within teams. Your audience might learn how to better allocate their technical resources and leverage the product management team's capabilities in maintaining test automation.

Speed and Agility: Improving the Software Development Life Cycle (SDLC) to enable 30% faster development cycles is crucial in today's fast-paced tech environment. Your presentation could offer insights into agile methodologies enhanced by AI, allowing organizations to be more responsive to market changes and customer needs.

Quality Enhancement: With up to 90% fewer bugs in production, your session could highlight significant improvements in product quality. This is particularly appealing for developers, QA professionals, and product managers who are continuously seeking ways to enhance the reliability and stability of their products.

Maintenance Reduction: Demonstrating how Generative AI can eliminate 98% of the effort in maintaining end-to-end tests addresses a common pain point in software development. End-to-end test maintenance is often time-consuming and complex; hence, finding efficient solutions can be highly beneficial.

Innovation and Competitive Edge: Introducing cutting-edge technologies like Generative AI positions the audience at the forefront of technological innovation, potentially providing them with a competitive edge in their respective fields.

Cost Savings: Although not explicitly mentioned, the efficiencies and time savings discussed could lead to significant cost reductions, which is a critical consideration for businesses of all sizes.

This session will empower the audience with knowledge and tools to enhance their operational efficiencies, product quality, and overall competitiveness in the market by adopting advanced AI technologies in their testing and development processes.

Artem Golubev

Artem Golubev, one of the brains behind testRigor, is passionate about enhancing companies' QA efficiency and speeding up their software delivery. His journey in the tech field began 25 years ago with software development for logistics firms. Artem's career path led him through tech behemoths like Microsoft and Salesforce, where he gained invaluable insights into QA best practices and cutting-edge technologies. Leveraging this knowledge, he aims to level the playing field for other companies, enabling them to stand toe-to-toe with software giants by boosting their testing efficiency. With the help of testRigor AI, renowned names such as Netflix, Splunk, BusinessWire, among others, have revolutionized their approach to test automation, achieving faster development and reducing the time invested in test upkeep.