AI and Machine Learning: Enterprise Use Cases and Challenges

Presented by

Radhika Rangarajan Director, Data Analytics and AI, Intel; Nanda Vijaydev Director, Solutions, BlueData

About this talk

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.

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