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Enterprise data used to be relatively easy to govern.
Cost unpredictability is one of the main concerns for any organization moving to a cloud provider like Google Cloud Platform (GCP).
Unlike capital investments for on-premises infrastructure, cloud...
According to a study from Algorithmia, more than 80% of enterprises have increased their artificial intelligence (AI)/machine learning (ML) budgets over the past year.
It’s not uncommon for organizations that have migrated to Google Cloud Platform (GCP) to encounter sticker shock.
After all, one of the major selling points of GCP—and all public clouds—is the...
In this post and video, we'll talk about some of the leading options for unstructured data management.
Machine learning (ML) provides you with powerful insights that allow you to derive new value, accomplish your missions, and gain a competitive edge.
Getting ML right, however, can be a challenge. In...
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...
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...
Every time your organization brings on a new employee, there are high costs. You have to recruit, go through the interviewing and hiring process, then train and level up any skill gaps.
The performance gains and efficiencies of moving to the cloud are clear. What is less clear is the best way to get there. Here are five common stumbling blocks to successful cloud migration.