Mark Heckler
Senior Director of Field Engineering @ Moderne
Mark has worked with key players in numerous industries and organizations to develop, deliver, and maintain critical capabilities securely, on time, and on budget. Mark is a Java Champion, open source contributor, author of Spring Boot: Up and Running (https://bit.ly/springbootbook), and a licensed, instrument-rated pilot.
Presentations
When it comes to a system's or enterprise's architecture, there is no shortage of concerns competing to provide influence over the resultant design and execution. Most of these are well-intentioned and optimize for worthy outcomes, and some even complement, or at least don't conflict, with others. But many choices are largely exclusive of other viable options, optimize for narrow interests, or base their priorities on key assumptions that may not be widely held to be true. Adding Artificial Intelligence (AI) to the mix injects another sometimes-complementary, sometimes-orthogonal set of concerns into your exquisite plans. How does one satisfy everyone and everything? The short answer is that you don't.
The longer answer is that it's possible to capture and evaluate competing concerns in order to maximize your architecture's, and your organization's, chances for a long and successful life.
Come to this session to discover how to design and re-inject success into your software architecture by taking a holistic view of those concerns within the context of those concerned – whether human or AI – and the organizations under which they fall.