Our world is filled with complexities and unknowns, and when these collide with emerging technologies, the resulting risk seems insurmountable. We accept this increased risk as a cost of using the new technology, assuming that previous lessons learned don’t apply and that a blank slate is required to gain the most benefit. However, this never turns out to be true. Time and time again, we realize that much of what we already know is still relevant to these emerging technologies, regardless of how advanced or paradigm-shifting they are. This is good news for reducing the risk in innovation...
Agile + DevOps USA 2024 - Keynotes
Keynotes are included in all passes! These industry visionaries will take the stage for in-depth discussions on trending topics.
Wednesday, October 16
Everything Old Is New Again: Using What We Already Know for a Safer Future
AI & The Impact on How We Work
Our industry has been transformed by new technologies, radically changing how we work. Thirty years ago, deployment cycles took 3-5 years; today, they happen in seconds. This rapid pace is largely due to our focus on investing in tools that boost developer productivity. We're still driven to create tools that simplify developers' work and make it easier for others to join the field. Many companies are heavily invested in enhancing productivity. However, the abundance of productivity tools doesn't automatically lead to increased productivity. Companies need to examine and adapt their...
Panel: How AI is Revolutionizing the Entire SDLC
Artificial Intelligence is transforming the software development life cycle, reshaping processes, and redefining best practices across the board. This is not just a trend—it's a game-changer. Join our dynamic panel of top-tier experts representing Agile, DevOps, software testing, security, and product development as they dive into how AI is impacting everything from code to culture. What does this mean for your projects, teams, and career? Bring your questions, and together we'll explore the challenges and opportunities AI brings to software development. We’ll use Slido to collect your...
Thursday, October 17
MLOps for Responsible AI: Techniques for Ensuring AI Quality
With the rapid adoption of generative AI, more and more companies are infusing AI models and services into their products. However, many of these companies are likely to lose business and valuable revenue due to their lack of investment in MLOps. Typically, organizations developing AI systems have relied on training metrics like accuracy, precision and recall, but software quality goes beyond that. Now that the barrier to entry for AI tools is smaller, we need to set quality standards, test practices, and think about AI ethics and safety. Ensuring the quality of AI goes beyond traditional...