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Synergies of Cloud Computing, Big Data and Analytics across Industries - Nadhan's Top 5

G10144001032009_JPGHighres_96dpi_800x600.pngI recently shared my thoughts on the various triggers for Industry Cloud Computing. There are certain synergies that apply across multiple industries thanks to the powerful combination of Cloud and Big Data, which opens up a wealth of data for context-specific analysis. In this post, I am providing a synopsis of the top 5 synergies that can be realized across these three domains:  Big Data, Cloud and Analytics. Subsequently, I plan on providing more context by applying them to various industries in upcoming posts.

 

Prediction. Access to data at a very high level of granularity accumulated over the years opens up options of performing trend analysis and their subsequent extrapolation into what is likely to happen in the future. Examples: Next epidemic to break out, next financial institution to be saddled with a non-compliance penalty or the next air crash.

 

Demand. Every industry has its own set of human service providers with a wide variety of skill sets. Access to the data related to the work being done also exposes deeper insight into the types of skills that will be needed in the future. This allows for educational institutions to gear up the workforce with the right skill sets and for enterprises to impart the right training in emerging technologies and next-generation platforms.

 

Personalization. YOU the consumer are tracked wherever you go and whatever you do. Unless you are in a remote location devoid of any electronic access that cannot be accessed and zoomed in via satellite, it is very difficult for you to hide your whereabouts as well as your daily life transactions. Even when you are asleep, there are devices that can monitor your sleeping pattern and adjust the type of bed you sleep on! This opens up the possibility of providing you answers even before you ask the question using context-specific references. The world gets personalized to suit your taste.

 

Security. Access to such data opens up tantalizing prospects of security violations that are also -- unfortunately -- rendered easier – which in turn require early warning detection mechanisms. It could be the bio-metrics technology used to screen passengers or monitoring the body and eye movements to identify the leader of the next bank heist. Security applies across the board from multiple aspects -- proactive and reactive.

 

Service. Access to data about You the consumer along with the timely application of context greatly facilitates improving service levels beyond our imagination. Imagine your favorite meal at your local restaurant being ready as you stroll in even before the maitre'd has obtained a seat for you. Triage for automobile accident passengers happening as they are transported to the hospital using their information in the Cloud. GPS devices in the car making your flight, car and hotel reservations when you specify your destination and chose Flight as the medium of transportation.

 

Cloud, Big Data and Information Analytics – the three-legged stool that render various possibilities specific to different industries.

 

Feasible but not easy.

 

We still have to work through compliance regulations, data privacy challenges, interoperability between different environments and the level of cloud adoption across enterprises.  But, why should that stop us from thinking about what is feasible? Industry Clouds are here to stay. Let me know about other synergies that you have in mind for industry clouds so that I can factor them in when I outline their application across various industries in upcoming posts.

 

To learn more about how HP is helping its Industry clients with cloud computing and other emerging technologies, please visit these resources:

 

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