Sponsored By

The Cloud Can Prevent Machine-Learning FailuresThe Cloud Can Prevent Machine-Learning Failures

The cloud gives enterprises an express lane to machine learning.

Andrew Froehlich

August 8, 2018

3 Min Read
The Cloud Can Prevent Machine-Learning Failures

For years, machine learning (ML) has been touted as the next great evolution in enterprise IT. Yet in many cases it's failed to deliver. There are three key reasons for this.

First, the AI aspect of machine learning requires big data that's properly curated. It's no secret that big data has been a challenge for businesses on its own. Thus, the requirement that for ML to work, it requires big data to work -- it simply compounds the issue.

The second hurdle when working on machine-learning projects is the fact that one must understand the current limits of the machine-learning platform and be able to ask the right questions that the ML and AI will be able to accurately answer. The learning curve to gain these skills is steep and there is a global lack of qualified data scientists to fill open roles.

Figure 1:

About the Author(s)

Andrew Froehlich

As a highly experienced network architect and trusted IT consultant with worldwide contacts, particularly in the United States and Southeast Asia, Andrew Froehlich has nearly two decades of experience and possesses multiple industry certifications in the field of enterprise networking. Froehlich has participated in the design and maintenance of networks for State Farm Insurance, United Airlines, Chicago-area schools and the University of Chicago Medical Center. He is the founder and president of Loveland, Colo.-based West Gate Networks, which specializes in enterprise network architectures and data center build outs. The author of two Cisco certification study guides published by Sybex, he is a regular contributor to multiple enterprise IT related websites and trade journals with insights into rapidly changing developments in the IT industry.

Subscribe and receive the latest news from the industry.
Join 62,000+ members. Yes it's completely free.

You May Also Like