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Oct 22, 2020 | by Vladimir Khorikov

Working Effectively with Legacy Systems

Refactor, rewrite, or leave as is? Learn when and how to bring your legacy systems up to speed with modern application development practices.

Oct 16, 2020 | by Catherine Paganini

Understanding Software and System Architecture for Business Leaders

Learn how technology can better meet your business needs with this foundational understanding of how software and system architectures work.

Oct 8, 2020 | by Alex Kulik

The Benefits of AI in the Cloud vs. On-Premises | EastBanc Technologies

Ready to embrace AI? Explore why cloud computing is the best infrastructure for your AI model, not on-premises.

Sep 30, 2020 | by Catherine Paganini

Distributed Systems and Cloud Native Computing Demystified

Software is a strategic differentiator that can catalyze digital transformation. Organizations are investing in technology, such as modern cloud services, to drive efficiencies and increase the customer experience. To make this a reality, it’s essential that business leaders have a basic understanding of business software and applications work and the opportunities they bring.

Sep 23, 2020 | by Sergei Korolev

How to Digitally Transform Your Support System with a Proactive vs. Reactive Approach

How an intelligence-driven customer technical support approach can transform your support from a reactive operation to a streamlined, efficient, and proactive operation.

Sep 9, 2020 | by Catherine Paganini

What is Kubernetes, How Did it Come to Be, and Why Does It Matter?

Kubernetes is a popular container orchestration system, but how did it come to be and why, and what role does it play in digital transformation?

Aug 26, 2020 | by Catherine Paganini

CI/CD Explained: A Guide for Business Leaders

Continuous integration and continuous delivery (CI/CD) is integral to a DevOps approach to software development. But what is CI/CD and why is it key?

Aug 19, 2020 | by Levon Paradzhanyan

Deep Learning and AI Demystified

This article is the third in a series that aims to demystify data science , machine learning, deep learning, and artificial intelligence (AI) – while exploring how they are interconnected.