Applying AI to DevSecOps Processes to Optimize Project Execution and Delivery – Boyle and Baker
Abstract:
Project Managers, as advocates for continuous improvement and innovation, are always interested in tools and processes that can further optimize the delivery of value. Project Managers embraced the shift from waterfall to Agile delivery models, and then the further embrace of DevOps and then DevSecOps – all of these improvements have benefited projects with improved project outcomes (faster, higher quality, better support, more predictable, etc.). DevSecOps is of course not the end of the optimization path, but instead is just another step. The next optimization step appears to be the application of Artificial Intelligence (AI) to DevSecOps. Enhancing with DevSecOps with AI is showing tremendous benefits – often 10-30% over non-AI enabled DevSecOps. Project Managers are eager to understand A) how is DevSecOps and AI-enabled DevSecOps different, B) how to apply AI to existing DevSecOps processes, C) the role the PM has in optimizing AI-enabled DevSecOps, and D) common pitfalls and value traps to avoid while integrating AI into DevSecOps processes. AI-enabled DevSecOps is not a tool strictly available to $B companies – with the near-ubiquitous availability of cloud-based AI organizations of any size can benefit. Project Managers must always stay up-to-date with any capabilities that will advantage their organization and project. Learn how early-adopters of AI-enabled DevSecOps are benefiting during project execution and delivery, and how you can ensure your organization/project are not left behind.
PMI Talent Triangle: Ways of Working
PDUs: 0.75
