Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Operational Deployment of Predictive Solutions: Lost in Translation? Not with PMML
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Predictive Analytics > Operational Deployment of Predictive Solutions: Lost in Translation? Not with PMML
AnalyticsPredictive Analytics

Operational Deployment of Predictive Solutions: Lost in Translation? Not with PMML

MichaelZeller
MichaelZeller
3 Min Read
SHARE

Traditionally, the deployment of predictive solutions have been, to put it mildly, cumbersome. As shown in the Figure below, data mining scientists work hard to analyze historical data and to build the best predictive solutions out it. Engineers, on the other hand, are usually responsible for bringing these solutions to life, by recoding them into a format suitable for production deployment.

Traditionally, the deployment of predictive solutions have been, to put it mildly, cumbersome. As shown in the Figure below, data mining scientists work hard to analyze historical data and to build the best predictive solutions out it. Engineers, on the other hand, are usually responsible for bringing these solutions to life, by recoding them into a format suitable for production deployment. Given that data mining scientists and engineers tend to inhabit different information worlds, the process of moving a predictive solution from the scientist’s desktop to production can get lost in translation.


Luckily, the advent of PMML (Predictive Model Markup Language) changed this scenario radically. PMML is the de facto standard used to represent predictive solutions. In this way, there is no need for scientists to write a word document describing the solution. They can just export it as a PMML file. Today, all major data mining tools and statistical packages support PMML. These include IBM SPSS, SAS, R, KNIME, RapidMiner, KXEN, … Also, tools such as the Zementis Transformations Generator and KNIME allow for easy PMML coding for pre- and post-processing steps.

Great! Once a PMML file exists, it can be easily deployed in production with ADAPA, the Zementis scoring engine. ADAPA even allows for models to be deployed in the Amazon Cloud and be accessed from anywhere via web-services. Zementis also offers in-database scoring via its Universal PMML Plug-in, which is also available for Hadoop. In this way, a process that could take 6 months, now takes minutes.

More Read

Infographic: The Relationship between Business Professionals and KPIs
First Results from the Predictive Analytics in the Cloud Survey
Update on the 6 March 2012 Government Big Data Forum
Analyzing the Results of Analysis
Maximizing the Business Value of Big Data


PMML and ADAPA have transformed model deployment forever. If you or your company are still spending time and resources in deploying your predictive analytics the traditional way, make sure to contact us. The secret behind exceptional predictive analytics is out!

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

IBM’s Billion-Dollar Bet on Kenexa for Social Business and Talent Management

13 Min Read

Getting On the Same Page – Marketing and the Business

4 Min Read

Know Me and Be Relevant: What I learned from Disney’s Keynote at NCDM

9 Min Read

Two Step Cluster – Customer Segmentation in Telecom

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?