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When to Use AutoML vs. Manual ML: A Full Guide

Automated machine learning (AutoML) is a set of tools and techniques that automate the design, training, and deployment of machine learning models. AutoML has become essential due to the amount of data involved when creating ML models, helping to save a significant amount of time, human resources, and money.  Although manual machine learning is not obsolete, automating […]

Should You Consider a Unified Data Model?

A unified data model allows businesses to make better-informed decisions. How? By providing organizations with a more comprehensive view of the data sources they’re using, which makes it easier to understand their customers’ experiences.  A singular, interrelated network that’s connected to one source of truth gives organizations a more efficient, accurate, and comprehensive analysis of […]

Data Lakehouses: The Future Of Data Migration

It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes.  Data lakehouse architecture is particularly attractive to businesses that want to more rapidly […]

Cloud Computing vs. Edge Computing: What’s the Difference?

Much has been said about the mass migration towards cloud-based computing, known by most simply as “the cloud.” Organizations worldwide have shifted to the cloud for better security, scalability, and efficiency. However, much less is known about edge computing, another influential technology gaining traction. Edge computing is increasingly becoming the IT infrastructure of choice for enterprises that […]