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Transformation Network
The Achilles heel of every transformative business model is their reliance on ever increasing amounts of data that need to be transported quickly across wide area networks and processed at…
Essential Characteristics of Cloud Computing as Digital Transformation
Hybrid IT blends traditional datacenters, managed service providers, and cloud service providers to deliver the necessary mix of information technology services. This IT consumption model enables a composable infrastructure which…
Transformation Innovation
4 Factors Driving Digital Transformation ROI The critical assessment factors for cloud ROI risk probability are the following: Infrastructure utilization Speed of migration to cloud Ability to scale business/mission processes…
Transformation Frameworks
Digital transformation necessitates changes in an organization’s operational processes. According to Harvard, a focus on operations can lead to business process optimization and entirely new revenue streams. Three common routes…
Transformation Infrastructure
Hybrid IT enables a composable infrastructure which describes a framework whose physical compute, storage, and network fabric resources are treated as services. Resources are logically pooled so that administrators need…
Essential Characteristics of Cloud Computing as Digital Transformation
A survey of 2,000 executives conducted by Cognizant in 2016 identified the top five ways digital transformations generate value: Accelerating speed to market Strengthening competitive positioning Boosting revenue growth Raising…
Embrace Transformation
From a business perspective, differentiating business processes and quality customer service are central to overall success. Business leaders must therefore clearly identify and measure how information technology contributes to the…
Computer Vision Advances Zero-Defect Manufacturing
by Kevin L. Jackson Electronics manufacturers operate in a challenging environment. It’s hard enough to keep up with the ever-accelerating rate of change in the industry. Now customers want increasingly…
Real-Time Analytics Power the Roadway of the Future
By Kevin L. Jackson The complexities of citywide traffic are pushing the limits of existing transportation management systems. Outdated infrastructure is based on proprietary, single-purpose subsystems, making it costly to…
Thriving on the Edge: Developing CSP Edge Computing Strategy
Communications Service Providers (CSPs) are facing significant business model challenges. Referred to generally as edge computing, the possibilities introduced by the blending of 5G networks and distributed cloud computing technologies are…
Cloud computing is rewriting the books on information technology (IT) but inter-cloud networking remains a key operational issue. Layering inherently global cloud services on top of a globally fractured networking infrastructure just doesn’t work. Incompatibilities abound and enterprise users are forced to use “duct-tape and baling wire” to keep their global operations limping along. The continuing gulf between IT professionals and business managers only exacerbates this sad state of affairs. IT professionals, however, bear a more significant amount of blame for the current state because we are the ones responsible for providing the operational platform and enabling the new information delivery models that drive modern constituent services and commerce.
The use of cloud has also driven changes in how governments and commercial enterprises approach data security. In the cloud era, organizations can no longer get away with treating all data at some arbitrarily high level of protection. More than ever, they need to address data protection requirements and controls based on the lifecycle stage of the data. They also need to evaluate the numerous permutations of business function, data user role, location of access, legal or regulatory guidelines and user devices. This is especially important in the public sector where organizations use public funding and operate within a framework of public trust. While this type of analysis could have arguably been seen as overkill when organizations had direct control over the networks they used, taking that view today is tantamount to declaring open season on data for any hacker, identity thief or
ransomware vendor out there. A laissez-faire approach to data categorization and controls is not only full of economic and reputational dangers but it also represents a due diligence failure when it comes to meeting legal and regulatory requirements for protecting sensitive information (e.g. personally identifiable information, medical records, financial data).
In my new article for IEEE Cloud Computing Magazine, I continue addressing this topic by explaining why cloud networking is different and what new cloud networking services are needed. As the cloud computing industry advances into the enterprise space, its success will inevitably depend on our ability to address information consumer perceptions, evolving application requirements, improved management across the application/computing infrastructure/network interfaces and enhanced automated visibility and management of the foundational wide area network. Reading this article will help professionals looking for longevity in this industry to learn and understand how each of these issues affect your organization’s business or mission.
( This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud Network Partners or any other corporation or organization.)
( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2015)
Cloud Computing
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Cybersecurity
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