Understanding edge to core data pipelines to train future AI/ML models
Getting the most out of AI with open source and Kubernetes
AI at the Edge
AI is the new competitive advantage, but due to concerns about data security, data privacy or simply to put the AI capabilities closer to the sources of data, MLOps and Data Scientists need to collaborate to rapidly productize models with better performance. It is important to have an MLOps platform that can be deployed on hybrid topologies and that provides all the different personas tools to collaborate and automate processes to reduce the time to value.
Palestrantes
Valentina Rodriguez Sosa | Technical Marketing Manager, Red Hat
Valentina Rodriguez is a Principal Technical Marketing Manager at Red Hat, focusing on the developer journeys in OpenShift and emerging technologies. Before this role, she worked with high-profile customers, helping them adopt new technologies, and worked closely with developers and platform engineers. Her background is in software engineering. She built software for 15 years, working in diverse roles from Developer to Tech Lead and Architect, from retail, healthcare, financial, e-commerce, telco, and many other industries.
Myriam Fentanes | Principal Product Manager, Red Hat
Myriam is Product Manager at Red Hat focusing on features for automation and distributed AI workloads. She has been with Red Hat for 10+ years working with customers to understand the challenges and user experience.