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The Business Case for Managed Analytics
For many organizations, the cost of building out—or expanding—analytics capabilities can outweigh the benefits of the analytics itself.
Turning Data into Actionable Insights with a Modern Data Platform
Traditionally, business intelligence (BI) has focused on areas like supply chains and finance—niche subject areas that impact only a limited area of an organization.
When Do I Need to Use Deep Learning?
The most routine data science tasks don’t need the sheer horsepower that deep learning models provide.
But as enterprises start using larger data sets, there are a growing number of complex tasks...
Manage Your Unstructured Data and Leverage Machine Learning with PowerScale
In the new era of Big Data, companies face a growing challenge: unstructured data. Forever expanding piles of documents, spreadsheets, presentations, emails, and other file-based data threaten to...
How Healthcare Enterprises Are Leveraging Predictive Analytics
According to Axios, in 2018 alone, Americans spent an estimated $3.65 trillion on healthcare. For some context, that’s more than the total GDP of Brazil.
With costs continually increasing, healthcare...
Get Ready for the Future of Machine Learning
A joke you've likely heard before: "80 percent of time is spent preparing data. The other 20 percent is spent complaining about preparing the data."
Building a Roadmap to Advanced Analytics
Advanced analytics capabilities like predictive analytics, artificial intelligence (AI), and machine learning (ML) allow your organization to unlock insights, make smarter decisions, and fully...
3 Things Organizations Can Do to Unleash the Power of Predictive Analytics
Analytics already plays a major role in business success, and that role is only growing over time.
How to Bring Your ISV Application to the Cloud
It’s one of the ironies of business: the more popular your product becomes, the harder it is to keep up with demand.
Even products we don’t normally think of as dependent upon traditional logistics,...