Tracy Bannon

It's the humans that matter...

Unlocking Innovation with AI powered Software Engineering - #AI4SWE

ADDO (All Day DevOps) Presentation

The rapid development of GAI tools offers groundbreaking potential for software engineering, but teams face hurdles in adopting these technologies. This session is essential for software architect, engineers, developers, DevOps professionals, and security leaders aiming to enhance efficiency and quality in their software engineering processes using GAI. Attendees will gain practical insights into the current state of GAI in software engineering, learn strategies to overcome adoption barriers, and understand future trends to integrate GAI effectively into their software engineering and DevSecOps practices. Attendees also walk away with a call to action and materials to immediately leverage with the their teams and organizations.

#AI4SWE - AI powered Software Engineering

DevOpsDays Dallas Keynote Address on Unlocking Innovation

Generative AI has taken the world by storm, including the realm of software engineering. There's a rush to incorporate AI tools, from code generation to test analysis. This is groundbreaking technology that has limitations and challenges to navigate. AI-assistance can enhance your delivery of value with the speed and quality your end-users demand. The key is to use assurance-based techniques. We'll also need to figure out how to pivot from viewing AI as merely a tool today to envisioning a future filled with AI agents as team members.

xOPS - Transdiciplinary approach to incorporating AI into the Software

xOPS: Transdiciplinary approach to incorporating AI into the Software For today, I’m going to define 𝘅𝗢𝗽𝘀 as 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 + 𝗗𝗮𝘁𝗮𝗢𝗽𝘀 + 𝗠𝗟𝗢𝗽𝘀. Why though? Because the integration of AI capabilities into our software requires more than traditional DevSecOps. I’ve spent decades architecting software solutions for complex challenges, I’ve learned that pragmatism, integration, and flexibility are paramount. 𝘅𝗢𝗽𝘀 𝗶𝘀𝗻’𝘁 𝗮 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝘆; it’s a transdisciplinary mindset that integrates the 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 of DevSecOps, DataOps, and MLOps.

Infusing AI into Software Engineering: Challenges and Opportunities

Artificially Intelligent Enterprise Virtual Summit

Generative AI has taken the world by storm, including the realm of software engineering. There's a rush to incorporate AI tools, from code generation to test analysis. This is groundbreaking technology that has limitations and challenges to navigate. AI-assistance can enhance your delivery of value with the speed and quality your end-users demand. The key is to use assurance-based techniques. We'll also need to figure out how topivot from viewing AI as merely a tool today to envisioning a future filled with AI agents as team members.

Applying AI to the SDLC: New Ideas and Gotchas

QCon London Keynote on Leveraging AI to Improve Software Engineering

Generative AI has taken the world by storm, including the realm of software engineering. There's a rush to incorporate AI tools, from code generation to test analysis. This is groundbreaking technology that has limitations and challenges to navigate. AI-assistance can enhance your delivery of value with the speed and quality your end-users demand. The key is to use assurance-based techniques. We'll also need to figure out how topivot from viewing AI as merely a tool today to envisioning a future filled with AI agents as team members.