Getting Started on Your Own Machine Learning Journey: A Practical Guide for Software Engineering and QA Managers
Following test automation and DevOps, the next generation of automation within the software development life cycle (SDLC) comes to us in the form of AI-inspired approaches: Analytics, Machine Learning, and Natural Language Processing. Geoff Meyer, Test Architect at Dell EMC, refers to this as Cognitive Automation; the automation of tasks that up until now could only be performed by humans.
Software engineering and QA managers going down the path of Cognitive Automation should proceed with caution due to the combination of excessive hype and unprecedented complexities as compared to prior stages of automation.
Join Geoff as he provides a framework for managers to use when considering the application of AI to tasks within their SDLC. The approach, developed while leading the Dell EMC Test AI initiatives, provides managers with a means of countering the optimistic and sometimes unrealistic expectations of their organizations with a pragmatic, yet goal-oriented framework.
Join this webinar to learn:
- Common pitfalls of managers who use AI without proper preparation or planning
- How to create a framework for using AI tools within your software development and QA teams
- How to manage the unrealistic expectations of your organizations when using AI tools
Panelist: Geoff Meyer | Test Architect | Dell EMC
Geoff Meyer has more than thirty years of industry experience as a software developer, manager, program manager, and director. Geoff oversees the test strategy and architecture for more than four hundred software and hardware testers across India, Taiwan, and the United States. He leads initiatives in continuous testing, predictive analytics, and infrastructure as a service (IaaS). Outside of work, Geoff is a member of the Agile Austin community, contributor to the Agile and STAR conferences, and an active mentor to veterans participating in the Vets4Quality.org program, which provides an on-ramp to a career in software quality assurance.