Leveraging Generative AI for Software Productivity
Executive leaders across the globe have been asking a relatively simple yet profound question: Can we leverage generative AI to transform our business, enterprise, or industry? For software-based companies, focus has either been on differentiating their product and service offerings using this new technology. But how about leveraging generative AI to improve team productivity and efficiency? This may be possible but how do you measure its success? What are some of the key use cases within business analysis, development, and testing that software teams can use? Are there any pitfalls that should be avoided? Join Philip Daye as he walks through a holistic quantifiable approach to leveraging generative AI in practical real-world scenarios. You'll learn how to navigate the world of generative AI for software productivity so that you can set realistic, measurable outcomes to lead your teams into the future of engineering.
Philip Daye is a seasoned software quality professional with over 25 years of experience in the field. Currently the QA Team Lead at EMARKETER, he has a diverse background as a tester, manager, architect, and leader, and has worked with companies of all sizes to ensure the delivery of high-quality software. Philip is deeply committed to staying current with advances in the field, and actively shares his knowledge and experience with others through speaking engagements at conferences and meetups, as well as by founding internal communities of practice.