Building Infrastructures for Successful Machine Learning Deployments
451 RESEARCH ANALYST AND FOUNDER DISCUSSES HOW TO BUILD INFRASTRUCTURES FOR SUCCESSFUL MACHINE LEARNING DEPLOYMENTS
With the recent explosion of machine learning, applications are being created and implemented across a wide range of processes that improve—or even replace—human input, addressing problems never before tackled because of the sheer size of the data. In fact, the larger the data set, the more potential value that machine learning brings.
However, that’s also where machine learning programs typically stumble: the more successful machine learning is, the more it taxes underlying data access and management infrastructure. Because of a lack of planning, programs that start by using mid-range enterprise storage or by adding drives to servers often find that these approaches are not sustainable.
Whether you’re already facing this dilemma or you want to learn how to avoid it completely, DDN invites you to watch a recording of our webinar, “Building Infrastructures for Successful Machine Learning Deployments.” Presented by John Abbott, founder and research vice president of 451 Research, you’ll learn about the key considerations, best practices, and emerging technologies available to establish an optimized machine learning infrastructure with efficient, cost-effective data access and management every step of the way.
If you want to ensure that your machine learning programs succeed, you won’t want to miss this dynamic presentation!
Founder and Research VP