The agility and improved mission support associated with the widespread move to cloud computing has made this megatrend one of the most positive forces in IT today. Some of the greatest benefits to enterprises come with the ability to smartly mix public and private clouds in hybrid cloud environments.  However, optimizing the use of multiple public clouds and on-prem solutions comes with challenges, especially with how data is managed in this environment.

This presentation reviews key challenges that follow the use of hybrid clouds for data analytics. It also provides a conceptual framework for mitigating challenges in hybrid cloud data analytics. This framework is designed to inform your data strategy and optimize it for the age of hybrid cloud computing.

Cloud Computing has been a key part of most interesting business strategies over the last decade. It has also been critical in bringing high end compute power to individuals around the world (Cloud services enable most highly recognizable services and apps, from Uber to Zoom and most everything in between). But what will come next? This special report offers a glimpse into the future of this trend meant to inform your business strategy.

OODA Network Members can watch the on demand version of our webinar on predicting the future of IT. Predicting the future is hard. We have tried just about every way humanity has come up with, and frankly every model has flaws. But we have found some methods that can be

“Microsoft is making moves to target a growing multibillion market: hosting, storing and running the U.S. government’s most sensitive classified secrets and data. On Tuesday, the software giant announced it will join rival Amazon as the only commercial cloud providers with the security capabilities to host secret classified data by

“Before the Pentagon can hold artificial intelligence accountable, it will have to find it. Auditing the Department of Defense is a daunting task to begin with, and trying to figure out within that budget the full scale of existing spending on AI likely requires the audit as a prerequisite. At