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How to Accelerate Model Training and Improve Data Science Productivity with GPUs

Artificial Intelligence (AI) is today’s hot topic—and hot technology. From news headlines to trade shows to boardrooms, everyone is talking about how AI can be used to transform entire industries and deliver groundbreaking business innovations. The use cases may be as mundane as automating the interaction with customers during entry-level support requests, or as sophisticated […] Read More

Deploying Machine Learning Pipelines for AI Use Cases

We all know that Artificial Intelligence (AI) is here to stay. We experience AI everywhere and enjoy its benefits without even realizing it. From streaming video services like Netflix, which learn our viewing behaviors and patterns so we spend our valuable time watching the shows we like best; to digital assistants like Amazon’s Alexa, which […] Read More

Deep Learning with TensorFlow, GPUs, and Docker Containers

I work with a lot of data science teams at our enterprise customers, and in the past several months I’ve seen an increased adoption of machine learning and deep learning frameworks for a wide range of applications. As with other use cases in Big Data analytics and data science, these data science teams want to […] Read More

Deep Learning with BigDL and Apache Spark on Docker

The field of machine learning – and deep learning in particular – has made significant progress recently and use cases for deep learning are becoming more common in the enterprise. We’ve seen more of our customers adopt machine learning and deep learning frameworks for use cases like natural language processing with free-text data analysis, image […] Read More