I look forward to presenting at IDN's Enterprise Integration Summit (virtual), April 20, 2023. Data and AI integration to architect the intelligent enterprise is a constant challenge to organizations. As real-time AI expands from the edge of innovation to the center of an organization, weaknesses are exposed as teams strive to grow to the next level of real-time AI maturity. My presentation focuses on key areas, organizations need to focus on to win the real-time AI race. This is a perfect opportunity for enterprise and technical leaders responsible for AI projects and activities to actively participate in the dialogue on evolving strategy and executiion for real-time AI.

Real-time AI is driving the adoption of Kubernetes across apps, streaming data, databases and machine learning models. The lessons learned from cloud-native technologies and DevOps principles can accelerate the maturity of DataOps and MLOps. App dev leads and software engineers have a unique opportunity to take a leadership role in accelerating the real-time AI execution across apps, data and machine learning. Join us for a fast paced hybrid-cloud journey that looks at the data dimensions for real-time AI and shares the characteristics and capabilities to win the real-time AI race.