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The Smart Grid, Predictive Analytics, and Cloud Computing

Everywhere you turn these days, you are bound to be faced with one of these three subjects: Smart Grid, Predictive Analytics, and Cloud Computing. This is no coincidence! With the advent of smart meters and sensors, the Smart Grid is becoming more and more part of our daily life. In the past, we would only realize how important energy was when the lights went off, in the future, we will be able to adjust our behavior to utilize energy in a smarter, more efficiently and less costly way.

As for Predictive Analytics and Cloud Computing, check this out: Gartner identified the top 10 strategic technologies for 2010 ... Want to guess how Predictive Analytics and Cloud Computing ranked? You got it right, on top! (see These were also identified by Accenture as two of the emerging trends and major technological changes that will have a significant business impact (see

Therefore, this issue of the Deploy! Newsletter will focus on the Smart Grid, Predictive Analytics, and Cloud Computing. Read on, we predict you will be impressed:

Bringing “smarts” to the Smart Grid

The Smart Grid is definitely where we should go as a nation and as a world that is faced with several challenges not only in terms of growing energy demand, but also global warming. Both need to be addressed at the same time. How can it be done? There are many answers to this question, however no matter what the answer is, it must involve the modernization of our existing energy grid, leading to the advent of the Smart Grid.

But again, what makes a grid smart? Is a better and more efficient grid a smarter grid? Probably! However, to be better and more efficient, we need to go further than installing sophisticated meters and sensors ... and the enormous amount of data collected from them. How can data make the grid smarter? By collecting data from the grid on demand, one can make smarter decisions which in turn optimize the grid and make it truly intelligent. Turning this data into knowledge and acting upon it in real-time will provide the benefits that we are seeking and lead to the power grid of the future that we envision.

Whenever we are overwhelmed by vast amounts of data, Predictive Analytics can help us make sense of it all. Predictive Analytics involves building statistical models that learn patterns hidden in vast amounts of data and learn to detect the same patterns as they occur, enabling the grid to predict whenever non-optimal or unwanted conditions are about to occur. Forewarned is forearmed! These predictive models are then able to apply their knowledge of the grid to improve its day to day performance. The range of applications is really only dependent on your imagination.

Zementis, a leading provider of Predictive Analytics solutions, recently launched its scoring engine on the Amazon Cloud. The ADAPA engine can be used from anywhere on the globe at anytime. ADAPA processes raw data and produces intelligent decisions which can be embedded into grid applications. Since ADAPA leverages Cloud Computing and Open Standards, it is able to deliver the "smarts" to the Smart Grid in a very efficient way. Cloud Computing moves hardware and software into a web-based, pay-as-you-go business model. This allows utility companies to leverage massive computing power and capacity for a fraction of the traditional cost they would normally incur given all the necessary requirements.

Two weeks ago, SAIC, a Fortune 500 company, and Zementis signed a Marketing Agreement (see The two companies are working together to deliver breakthrough predictive analytics solutions to utility companies. Zementis’ expertise combined with SAIC’s deep domain knowledge in the energy sector will help utility providers to be more efficient and agile in addressing all the challenges they face when moving to a truly smart grid.

PMML Discussion Group in LinkedIn (nearing 500 members)

What differentiates ADAPA from other Predictive Analytics solutions? Open Standards! ADAPA consumes predictive analytics tasks expressed in the PMML (Predictive Model Markup Language) standard and allows us to use them in real-time and on-demand. It is, therefore, able to provide the smarts to the Smart Grid or to any of your business processes.

We recently created a PMML discussion group in LinkedIn. As of today, the group is nearing 500 members and growing fast. Among the topics being discussed are ways to execute SPSS models in SAP, as well as PMML support for data pre-processing tasks. If you are interested in joining the group, please follow the link below:

About ADAPA®

A fast real-time deployment environment for Predictive Analytics Models - a stand alone scoring engine that reads .xml based PMML descriptions of models and scores streams of data. Developed by Zementis - a fully hosted Software-as-a Service (SaaS) solution on the Amazon Elastic Computing Cloud. It's easy to use and remarkably inexpensive starting at only $0.99 per instance hour. You pay only for the service and capacity you really need, eliminating the necessity for expensive software licenses and in-house hardware, clusters, and systems administrators. For more information, go to our website and take the tour. You're an innovator, right? Go ahead and start using the ADAPA scoring engine, today!

Unleash the power of your predictive analytics models in minutes...use ADAPA®!

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