AI code completion tools are transforming DevOps practices drastically. They promise to improve both software development and infrastructure management, but what are the risks? Concerns about code quality and data security remain critical. This talk will equip both DevOps practitioners and leadership with strategies to confidently integrate these tools into their systems. We'll address common concerns and provide actionable solutions to this new way of working. You can reap the benefits of these state of the art tools while protecting your organization. 

Topics Will Include:
Common Concerns: Myth vs reality with generative tools
Strategic Adoption: How to implement generative AI tools in a thoughtful and intentional way 
Maintaining Standards: How to create rigorous guidelines and monitoring practices so you aren't sacrificing quality for speed of delivery 
Risk Mitigation: How to get the benefits of these tools while keeping your organization safe 

Why attend? 
Gain Insight: You'll be informed on the latest tools and how they work, and you'll learn practical steps for integrating, monitoring, and optimizing your use of these tools. You'll gain confidence and become proactive with your integration strategy. 

Key Takeaways:

• You will get practical steps for integrating AI Tools with pilot projects, tailored for DevOps professionals. 
• You will learn techniques for maintaining high code quality and robust monitoring. 
• You'll develop effective methods for mitigating security risks while using generative AI tools.