Keep Austin Agile 2019

Members of the Software Engineering community are beginning to explore the exciting capabilities of Artificial Intelligence (AI) to remove even more of the mundane and manual tasks from our jobs. Engineering organizations that have already instilled a culture of automation with their prior adoption of Agile, Test Automation, and DevOps practices, are the best suited to begin the exploration of the AI-inspired solutions to the Engineering SDLC processes.

The next generation of Automation in Engineering SDLC comes to us in the form of AI-inspired approaches: Analytics, Machine Learning, and Natural Language Processing. Geoff refers to this as Cognitive Automation, which offers the promise of the automation of tasks that up until now could only be performed by humans.

Engineering practitioners 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 organizations 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 Engineering teams with a means of countering the optimistic and sometimes unrealistic expectations of their leaders and subject matter experts with a pragmatic, yet goal-oriented approach.