Technology Blog - Redapt | Data Management and Analytics (3)

When it comes to platforms for processing large amounts of data, two of the common choices for enterprises are Azure Synapse and Databricks. Since both are solid options, deciding on which to go with...

When it comes to adopting artificial intelligence (AI), it’s not uncommon for enterprises to struggle to determine exactly where to start.

The truth...

When helping companies deploy their data for strategic advantage, our data and analytics teams routinely face an expanding volume of data coming in while simultaneously managing data going out to a...

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.

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...

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...

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."

Advanced analytics capabilities like predictive analytics, artificial intelligence (AI), and machine learning (ML) allow your organization to unlock insights, make smarter decisions, and fully...

Analytics already plays a major role in business success, and that role is only growing over time.