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Do you need an AI Factory, or do you need some GPU-capable servers for a few workloads? How do you accurately measure the ROI? We discuss how answers to these and other questions will have a direct impact on tokenomics.

Transitioned a large portfolio of business-critical integrations from MuleSoft to Microsoft Azure, establishing an Azure-native foundation designed for scale, operational consistency, and continued modernization

As organizations race to adopt AI, many are struggling to understand where AI is being used, what risks it introduces, and how to secure it effectively. In this episode of Unfiltered, ePlus and Palo Alto Networks discuss the growing challenges of AI security, the importance of visibility and risk management, and how trusted partnerships can help organizations confidently accelerate their AI initiatives.

Successful AI adoption depends less on the technology itself and more on coordinated governance through a cross-functional group that aligns AI initiatives with business goals, establishes principles and policies, manages use case intake, and more.

Understanding artificial intelligence necessitates a foundational understanding of its economy and structure. This blog discusses everything from the billable unit of AI to the components of the AI Factory.

Cryptographically relevant quantum computers (CRQC) still may be 5-10 years away, but the time to prepare for them is now.

Discover how retailers are using AI, RFID, loyalty apps, smart security, and connected technologies to reduce customer friction, improve operations, and unlock valuable business insights.

Modernization Monday is a content series designed to clue you in on what it takes to actually modernize your infrastructure for AI.

Discover how ePlus is using agentic AI to handle enterprise operations at machine speed.

ePlus Principal Security Consultant, Jes Gonzalez, was heavily featured in a recent article on Tech Target. The article covers how unreliable data can undercut AI efforts before they deliver meaningful returns.

In Part 2 of our discussion on Change Management in the Age of AI, we continue the discussion around AI features included within healthcare software updates and how that impacts risk management strategies.

ePlus has helped organizations across manufacturing, distribution, technology, healthcare, and the public sector move from AI curiosity to AI maturity in production. Through these experiences, we’ve noticed something more useful than any single project outcome: the questions themselves have gotten more ambitious, and more complex.