Tracy Bannon

It's the humans that matter...

Navigating the Hypecycle ++ Building Secure Systems in a GenAI World

Appalachia Advance - CyberTech Conference - Panel & Tech Learning Session

Generative AI (GAI) technologies are being applied in a range of sectorsโ€”national defense, healthcare, transportation, and more. While the surge brings advantages, it also presents unique cybersecurity challenges. Embracing the potential of GenAI involves acknowledging and mitigating these cybersecurity risks early and is key to designing secure complex systems. I'll share you how to equip your organization with the knowledge and tools to defend against tomorrowโ€™s threats today.

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 hugoalso 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 ๐˜…๐—ข๐—ฝ๐˜€ as ๐——๐—ฒ๐˜ƒ๐—ฆ๐—ฒ๐—ฐ๐—ข๐—ฝ๐˜€ + ๐——๐—ฎ๐˜๐—ฎ๐—ข๐—ฝ๐˜€ + ๐— ๐—Ÿ๐—ข๐—ฝ๐˜€. 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. ๐˜…๐—ข๐—ฝ๐˜€ ๐—ถ๐˜€๐—ป’๐˜ ๐—ฎ ๐—บ๐—ฒ๐˜๐—ต๐—ผ๐—ฑ๐—ผ๐—น๐—ผ๐—ด๐˜†; it’s a transdisciplinary mindset that integrates the ๐—ฝ๐—ฟ๐—ถ๐—ป๐—ฐ๐—ถ๐—ฝ๐—น๐—ฒ๐˜€ 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.