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Software-defined Networking is an Essential Consideration for Successful IT Transformation

Software-defined Networking is an Essential Consideration for Successful IT Transformation

Making the switch to software-defined networking delivers significant business benefits and plays a key role in IT Transformation.

In the fifth of a series of blogs inspired by influential research published by industry analyst ESG, we discover the impact that software-defined networking can have on an organization’s IT Transformation efforts.

Don’t Age Out: Adopt Modular Servers for Transformational Workloads

In today’s age of digital disruption, one of the greatest challenges that companies face is the need to keep up with evolving technology. Speed and agility are key to a successful IT transformation, and organizations that can handle transformational workloads, such as AI and cloud-native applications, have a significant advantage over those that can’t.

On one end of the spectrum are the innovative companies, with modern data center infrastructure and IT automation in place.

Modern Data Protection Provides Essential Support for Successful IT Transformation

Modern Data Protection Provides Essential Support for Successful IT Transformation

In the fourth of a series of blogs inspired by influential research published by industry analyst ESG, we learn how modern data protection strategies, tools and processes enable and support IT Transformation. 

Modernizing the IT environment is a fundamental step that companies of all sizes must take on their journey towards achieving IT Transformation – and that includes the implementation of modern data protection devices and processes.

BehavioSec Fires Up Next-Gen Cybersecurity Solutions with Behavioral Biometrics

BehavioSec Fires Up Next-Gen Cybersecurity Solutions with Behavioral Biometrics

There’s no silver bullet for online security, especially when it comes to user authentication. And enterprises aren’t alone in the struggle to keep up with the needs and demands of authentication. At the center of all of this lies user behavior and the challenge it presents to security.

Do you Trust that (Data) Model?

Do you Trust that (Data) Model?

As George Box noted several decades ago, “All Models are essentially wrong, but some are useful”.  The work of statistical analysis, and its modern day derivatives of Machine Learning and Deep Learning, continue to be bold attempts at capturing what are essentially complex activities into a much simpler set of equations, even if those equations themselves often seem esoteric and complex.