Radhika Rangarajan Director, Data Analytics and AI, Intel; Nanda Vijaydev Director, Solutions, BlueData
Watch this on-demand webinar to learn how you can accelerate your AI initiative and deliver faster time-to-value with machine learning.
AI has moved into the mainstream. Innovators in every industry are adopting machine learning for AI and digital transformation, with a wide range of different use cases. But these technologies are difficult to implement for large-scale distributed environments with enterprise requirements.
This webinar discusses:
-The game-changing business impact of AI and machine learning (ML) in the enterprise
-Example use cases: from fraud detection to medical diagnosis to autonomous driving
-The challenges of building and deploying distributed ML pipelines and how to overcome them
-A new turnkey solution to accelerate enterprise AI initiatives and large-scale ML deployments
Find out how to get up and running quickly with a multi-node sandbox environment for TensorFlow and other popular ML tools.