Organizations have varying degrees of readiness when it pertains to AI. ePlus has decades of experience in areas critical to the success of AI, including infrastructure, data storage and security. That makes us uniquely positioned to help guide them as they navigate this next wave of technological disruption—leveraging the power of AI to drive innovation and growth.
DIGITAL BROCHURE + AI
Leverage ePlus’ expertise as an NVIDIA Managed Services Provider to achieve optimal performance, availability, and reliability of your AI/ML stack, including DGX and customized hardware solutions.
No matter how you plan to use AI, everything rests on the foundation of your network infrastructure.
Read the blogThe demand for robust and scalable AI infrastructure has never been higher, and so much success with AI depends on infrastructure. This introductory blog in our technical series explores infrastructure challenges with AI, the key components that make up AI infrastructure, and the importance of both on-premises and cloud environments.
Read the blogFeeling pressured to spin up an AI pilot quickly? If you are, you’re not alone. After all, it’s easy, right? Just turn it on and see what happens. Many analyst firms and vendors claim this is the year when AI proves its value, which is adding even more pressure on companies to get started. But rushing into a pilot project—or a proof of concept (POC)—without first doing the necessary groundwork is risky. Here’s how you can set yourself up for success.
Read the blogIf you’ve been following our AI series, we have reviewed how to get started, defined a use case, and assessed AI preparedness. Now we arrive at the first inflection point in the AI journey: Do we build the infrastructure needed to support our use case or consume it from a service provider?
Read the blogIn the last blog, I covered the importance of a well-defined use case for AI. Because without a clear use case, the next step in the AI journey—AI preparedness—would be difficult to determine at best and nearly impossible at the worst. How do you know if you are prepared to support AI in your organization? As I mentioned earlier, the answer depends on your use case.
Read the blogThe promise of AI is alluring—there are so many exciting, intriguing possibilities (and attractive advertising), who can resist wanting to dive in? But if AI is going to be your business partner, what kind of partner will it be? That depends a lot upon your use case(s). Let’s explore five steps to help you think through and define an AI use case.
Read the blogWhen it comes to AI use cases, the possibilities are endless. Best practices for deploying AI-powered technologies to deliver business value, however, depend on your organization and its goals. How do you get started? Begin by developing a strategy based on your desired outcomes and use cases, which will allow you to properly evaluate your AI preparedness and create a path to success.
Read the blogThe pressure to deploy AI is palpable, and it’s coming from the top down. 97% of leaders said the urgency has increased in their organizations within the last six months. Explore five key considerations when choosing the right infrastructure for AI—which can determine the success or failure of your AI project.
Read the blogPreparation and success go hand in hand.
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