AI and Machine Learning sessions
Artificial intelligence and machine learning are rapidly-evolving practices that are becoming increasingly more mainstream. They have turned the corner, from theory into practice, and it’s incumbent upon architectural practitioners to understand the possibilities, implications, and responsibilities that come along with their adoption and use. If you’re interested in increasing your AI/ML knowledge, Software Architecture offers the following relevant sessions.
10:45am–12:15pm Wednesday, February 26, 2020
Exponential growth in AI technologies has resulted in discourse around the potential harms, intentional and unintentional, that the algorithms and AI can cause. The public conversation, however, has remained largely policy oriented. Devangana Khokhar and Vanya Seth outline how to build responsible AI systems with evolutionary architecture that have responsibility at their core.
1:15pm–2:05pm Wednesday, February 26, 2020
Steven Jones and Nicholas Fong walk you through migrating a chatbot, cognitive search, and other services to a Kubernetes-based architecture. Technologies include multiregion clusters, load balancers, integrating Express and Flask servers, and high-speed data transfer for importing models.
2:15pm–3:05pm Wednesday, February 26, 2020
Machine learning is taking the world by storm, and many companies with rules engines in place for making business decisions are starting to leverage it. However, the two technologies are geared toward different problems. Andrew Bonham details the strengths of both rules engines and machine learning and identifies the best use cases for each.