Winning the Real-Time AI Race
Date: Thursday, March 09 at 11am PT / 2pm ET
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.
Attend the session and get actionable advice on how to implement real-time AI in your org:
- Defining the right technology stack for your enterprise strategy
- Getting alignment across apps, data and ML teams
- The real-time AI mindset
About the presenter:
George Trujillo, Principal Real-TIme AI and Data Strategist, DataStax
A data leader with a focus on driving business transformations as organizations modernize their data management strategy for edge, on-premise and cloud environments. Expertise in aligning data and analytics/AI efforts across data-in-motion, database and analytical platforms. Industry experience in leading data modernization initiatives in real-time AI, real-time data ingestion, data governance, operational data stores, analytics, cloud, data warehouse, lake house and databases.
Internationally recognized speaker and published author. A data and AI advocate at CDO/CIO conferences and events. An active advocate for real-time AI, data governance and analytics.
Duration: 30 minutes