Winning the Real-Time AI Race -- ADTmag
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.
Mar-8-2023, 21:51:25 GMT
- Technology:
- Information Technology
- Cloud Computing (1.00)
- Architecture > Real Time Systems (1.00)
- Artificial Intelligence > Machine Learning (0.97)
- Information Technology