Amazon Virtual Private Cloud

whitePaper | February 23, 2023

The private 5G market is at an early stage of development, but activity in the market is increasing. 5G accounted for over 50% of all publicly disclosed private network announcements at the end of 2022, according to Analysys Mason’s Private LTE/5G networks tracker.1 5G’s share is lower when non-public announcements are included, but it is expected that most private networks will eventually use 5G.

whitePaper | November 21, 2022

When weighing a move to “The Cloud”, there is a lot to consider. Clouds are complicated, and cloud providers offer a great degree of similar capabilities implemented in proprietary ways, while trying to add their own unique value

whitePaper | December 6, 2022

Growing demand for remote working solutions in light of the pandemic is bolstering the case for virtual desktop infrastructure (VDI) adoption. In this white paper, we discuss why VDI is best suited for today’s business environments, especially since remote work is poised to play a big role both now and in the “new normal” of a post-COVID-19 world. We discuss VDI’s main advantages, its shortcomings and what can be done to address them.

whitePaper | November 1, 2022

This paper is intended to introduce the definition of a Data Fabric solution from a business perspective, the technical capabilities required to instantiate the solution, and a reference architecture representative of the solution.

whitePaper | November 14, 2019

Information Technology (IT) needs are evolving rapidly as datacenters transform into service centers that deliver applications on demand and respond to changing customer requirements with speed and agility. With users demanding access to applications and services 24x7, service-level agreements have become stringent. In addition, cloud computing is gaining in popularity and taking a foothold in datacenters, reflecting user needs to get services at any time.

whitePaper | February 23, 2022

Enterprise organizations are looking to embrace artificial intelligence (AI). In fact, in the past 12-18 months, many organizations are already well on their way down the AI path and most are struggling with how to operationalize it at production scale. They want to benefit from the game-changing and transformative benefits that can be realized from AI. A key component of embracing AI is arming data science teams with tools that enable timely success in achieving their AI goals.