In this session, you’ll learn how to save 95% of your time on test automation by leveraging Generative AI breakthroughs and moving 90%-100% of the work to the product management organization. We’ll cover how to improve SDLC to allow you to move up to 30% faster with up to 90% fewer bugs in production, and how Generative AI can be helpful to eliminate 98% of the effort on maintaining end-to-end tests.

Takeaways from the talk:

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.