Amazon Cloud Computing Services
Self-service cloud. Your predictive scoring engine on the go
The ADAPA Scoring Engine is an extremely fast, standards-based deployment platform for predictive analytics. As a central solution for today’s data-rich environments, it delivers precise insights into customer behavior and sensor information.
ADAPA in the Amazon Cloud gives you the predictive modeling capabilities of ADAPA with the flexibility and scalability of cloud computing.
With ADAPA in the Amazon Cloud Computing Services, you benefit from the power of Zementis’ real-time PMML-based scoring engine and the trusted performance and reliability of Amazon’s Elastic Compute Cloud (EC2). This is the same engine that Zementis’ customers use on-site. The only difference is that instead of installing ADAPA on your own servers, ADAPA in the Amazon Cloud comes pre-installed on a virtual server in the cloud. We call this an “ADAPA instance”.
When you launch an ADAPA instance in the cloud, ADAPA is instantly ready for your organization to use to support its predictive analytics needs. Your organization can deploy predictive models immediately. Your business users can score data via the ADAPA Web Console, Web Services or Microsoft Excel. Your organization can rapidly integrate predictive analytics into business decision-making.
The bottom line: You give yourself a competitive edge.
What do I get?
We provide you with a single-tenant architecture. At any given time, you can launch one or more instances. For each instance, simply select the instance type that is most appropriate for your computing and data management needs.
The service is implemented as a private, dedicated instance of ADAPA that encapsulates all of your predictive models and solutions. Only you have access to your private ADAPA instance(s) via HTTPS. Your model files and data never share the same engine with other clients. You launch and terminate your dedicated ADAPA instances through the Amazon AWS Marketplace. You have full control.
How does ADAPA in the Amazon Cloud work?
- Sign up with Amazon. To start using ADAPA in the Amazon Cloud, first create an Amazon AWS (EC2) Account. You can do this directly from the AWS Marketplace.
- Launch an ADAPA Instance. Use the Amazon AWS Marketplace to launch an ADAPA Instance (a virtual machine with ADAPA pre-installed on it) in the Amazon Cloud. Select the type of instance according to your budget and processing needs. You only pay for running instances
- Deploy your predictive models. Use the ADAPA Console to deploy all your model files. Once a predictive model is uploaded into ADAPA, it is ready to be executed. The ADAPA Console also allows you to verify that your models were uploaded correctly.
- Execute. Choose to execute your predictive models and solutions in batch-mode, on-demand, or in real-time. ADAPA publishes all predictive models as Web-Services so that these may be accessed from anywhere in the enterprise. You can also use the ADAPA Console to upload data for scoring from your local file system or Amazon S3 (Simple Storage Service). Alternatively, you can score your data directly in Excel by using the ADAPA add-in.
How do I pay for it?
ADAPA in the Amazon Cloud is a fully hosted Software-as-a-Service (SaaS) solution. You only pay for the service and the capacity that you use, thereby eliminating the need for expensive software licenses and in-house hardware resources.
As your business grows, ADAPA in the Amazon Cloud provides a cost-effective expansion path. For example, you can add multiple ADAPA instances to support scalability or enable failover. The SaaS model removes the burden for you to manage scalable, on-demand computing infrastructure.
Once you sign up for ADAPA in the Amazon Cloud through the Amazon AWS (Amazon Web Services) Marketplace and launch an ADAPA instance, Zementis charges will appear on your credit card bill. Amazon handles all the billing. ADAPA in the Amazon Cloud is very cost-effective and conforms to your needs, both now and as they change over time.
How do I get started?
ADAPA in the Amazon Cloud is available at the AWS Marketplace.
For more details or if you have any questions, please feel free to contact us!