SlideShare a Scribd company logo
1 of 25
Michael Zeller, Ph.D. CEO Zementis, Inc. EDM Summit October 30, 2008 Agile Deployment of  Predictive Analytics Using Amazon EC2
Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
What is Predictive Analytics   http://en.wikipedia.org/wiki/Predictive_analytics Predictive Analytics ,[object Object],[object Object]
Business Objective for Predictive Analytics Improve Processes 1 2 3 Leverage in Every Business Process Shorten Time-to-Market Reduce Complexity and Cost Make Smarter Decisions Automate Decisions Agility to Quickly Change with Market Conditions Ensure Consistent Decisions
Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Integration Web-service calls allow for fast integration  Development Open Standards R  allows for reliable data manipulation and model building Deployment PMML allows for easy expression and deployment of data transformations and data-mining models  Development, Integration, and Deployment
Development, Integration, and Deployment Integration Web-service calls allow for fast integration Development R allows for reliable data manipulation and model building Deployment PMML allows for easy expression and deployment of data transformations and data-mining models  Open Standards
The R Project ,[object Object],[object Object],[object Object],[object Object],[object Object],R Model Development
Web-Services for Integration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],WS Integration
Predictive Modeling Markup Language ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],PMML Deployment and Execution
Mature and Supported by Industry ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],PMML PMML Industry Support
PMML  defines a standard not only to represent data-mining  models , but also  data handling  and  data transformations  (pre- and post-processing) PMML Bringing data and Models Together Transformations PMML Models Data Transformations and Data-Mining Models come together in PMML. Predictive Modeling Markup Language ,[object Object],[object Object],[object Object],[object Object]
Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Got Models… Data Analysis Statistical Model PMML Export What Now?
Cloud Computing You are already using it everyday:   Google search, Gmail, Salesforce.com, … Computing as a “Utility” Evolve from “World Wide Web” to “World Wide Computer” Applications/Services/Storage/CPUs on the Internet. Incorporate via SOA Standards and Web Services. Emerging Utility Providers:  Amazon, Sun, Google... Promise: Scalable, secure, reliable and more  cost-effective than do-it-yourself.
Cloud Computing Benefits SaaS Pay-As-You-Go SOA Open Standards Utility Computing  Paradigm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Amazon Elastic Compute Cloud (EC2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Amazon Web Services
Presentation Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Predictive Analytics Cloud Computing Cloud Computing ,[object Object],[object Object],[object Object],Predictive Analytics ,[object Object],[object Object],Bringing it all together Recapping … Open Standards & Open Source Solutions Bridging the gap
Model Building Extensive data analysis and manipulation as well as selection of the most appropriate statistical modeling technique.  These steps can then be represented as a PMML file. Model Execution Amazon EC2 offers utility computing with virtually unlimited scalability as well as flexible choice of server size based on memory and processing needs.   From the Desktop to the Cloud: Bridging the Gap with ADAPA Scientist's Desktop Amazon EC2 ADAPA (WS & PMML)
Scalable Execution Platform Environment to Manage Models and Rules Framework for SOA-based IT Integration ADAPA is not ... Data transformation and model execution in real-time or batch mode. Deploys one or many models or rules sets. Manages and maintains these through a web console. Completely standards-based and easily integrated into any existing infrastructure. Not a model development environment. ADAPA SaaS Predictive Analytics on Amazon EC2 The ADAPA Example
Bridging the Gap: Highlights ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Predictive  Analytics & Cloud  Computing
1 Data Extraction and Analysis Model Building PMML Export PMML Import Web-Service Calls Model Execution 2 3 4 5 6 1 through 6 – From Raw Data to Smart Decisions
Fast and effective creation of your presentation Appealing visualization of your contents Your E nterprise D ecision M anagement  Strategy 1 2 3 4
Thank You! U.S.A Asia E-mail:   [email_address] 19/F., Unit A Ho Lee Commercial Building 38-44 D’Aguilar Street Central, Hong Kong (S.A.R.) Tel:  +852 2868-0878 Fax:  +852 2845-6027 6125 Cornerstone Court East Suite 250 San Diego, CA, 92121 Tel:  +1 619 330-0780 Fax:  +1 858 535-0227

More Related Content

What's hot

MLOps and Reproducible ML on AWS with Kubeflow and SageMaker
MLOps and Reproducible ML on AWS with Kubeflow and SageMakerMLOps and Reproducible ML on AWS with Kubeflow and SageMaker
MLOps and Reproducible ML on AWS with Kubeflow and SageMaker
Provectus
 
An Architecture for Agile Machine Learning in Real-Time Applications
An Architecture for Agile Machine Learning in Real-Time ApplicationsAn Architecture for Agile Machine Learning in Real-Time Applications
An Architecture for Agile Machine Learning in Real-Time Applications
Johann Schleier-Smith
 

What's hot (20)

Managing the Machine Learning Lifecycle with MLflow
Managing the Machine Learning Lifecycle with MLflowManaging the Machine Learning Lifecycle with MLflow
Managing the Machine Learning Lifecycle with MLflow
 
Leverage High Performance Cloud Computing for your business! | Sysfore
Leverage High Performance Cloud Computing for your business! | SysforeLeverage High Performance Cloud Computing for your business! | Sysfore
Leverage High Performance Cloud Computing for your business! | Sysfore
 
AzureML TechTalk
AzureML TechTalkAzureML TechTalk
AzureML TechTalk
 
.Net development with Azure Machine Learning (AzureML) Nov 2014
.Net development with Azure Machine Learning (AzureML) Nov 2014.Net development with Azure Machine Learning (AzureML) Nov 2014
.Net development with Azure Machine Learning (AzureML) Nov 2014
 
Opportunities and Challenges for Running Scientific Workflows on the Cloud
Opportunities and Challenges for Running Scientific Workflows on the Cloud Opportunities and Challenges for Running Scientific Workflows on the Cloud
Opportunities and Challenges for Running Scientific Workflows on the Cloud
 
Hassle-Free Data Lake Governance: Automating Your Analytics with a Semantic L...
Hassle-Free Data Lake Governance: Automating Your Analytics with a Semantic L...Hassle-Free Data Lake Governance: Automating Your Analytics with a Semantic L...
Hassle-Free Data Lake Governance: Automating Your Analytics with a Semantic L...
 
Blind spots in big data erez koren @ forter
Blind spots in big data erez koren @ forterBlind spots in big data erez koren @ forter
Blind spots in big data erez koren @ forter
 
From Spark to Ignition: Fueling Your Business on Real-Time Analytics
From Spark to Ignition: Fueling Your Business on Real-Time AnalyticsFrom Spark to Ignition: Fueling Your Business on Real-Time Analytics
From Spark to Ignition: Fueling Your Business on Real-Time Analytics
 
A view of graph data usage by Cerved
A view of graph data usage by CervedA view of graph data usage by Cerved
A view of graph data usage by Cerved
 
MCT Summit Azure automated Machine Learning
MCT Summit Azure automated Machine Learning MCT Summit Azure automated Machine Learning
MCT Summit Azure automated Machine Learning
 
MLOps and Reproducible ML on AWS with Kubeflow and SageMaker
MLOps and Reproducible ML on AWS with Kubeflow and SageMakerMLOps and Reproducible ML on AWS with Kubeflow and SageMaker
MLOps and Reproducible ML on AWS with Kubeflow and SageMaker
 
Enabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoTEnabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoT
 
Orchestrate data with agility and responsiveness. Learn how to manage a commo...
Orchestrate data with agility and responsiveness. Learn how to manage a commo...Orchestrate data with agility and responsiveness. Learn how to manage a commo...
Orchestrate data with agility and responsiveness. Learn how to manage a commo...
 
Pm.ais ummit 180917 final
Pm.ais ummit 180917 finalPm.ais ummit 180917 final
Pm.ais ummit 180917 final
 
An Architecture for Agile Machine Learning in Real-Time Applications
An Architecture for Agile Machine Learning in Real-Time ApplicationsAn Architecture for Agile Machine Learning in Real-Time Applications
An Architecture for Agile Machine Learning in Real-Time Applications
 
Artificial intelligence in actions: delivering a new experience to Formula 1 ...
Artificial intelligence in actions: delivering a new experience to Formula 1 ...Artificial intelligence in actions: delivering a new experience to Formula 1 ...
Artificial intelligence in actions: delivering a new experience to Formula 1 ...
 
Data & AI Platforms — Open Source Vs Managed Services (AWS vs Azure vs GCP)
Data & AI Platforms — Open Source Vs Managed Services (AWS vs Azure vs GCP)Data & AI Platforms — Open Source Vs Managed Services (AWS vs Azure vs GCP)
Data & AI Platforms — Open Source Vs Managed Services (AWS vs Azure vs GCP)
 
Jan van der Vegt. Challenges faced with machine learning in practice
Jan van der Vegt. Challenges faced with machine learning in practiceJan van der Vegt. Challenges faced with machine learning in practice
Jan van der Vegt. Challenges faced with machine learning in practice
 
Operationalizing Machine Learning at Scale at Starbucks
Operationalizing Machine Learning at Scale at StarbucksOperationalizing Machine Learning at Scale at Starbucks
Operationalizing Machine Learning at Scale at Starbucks
 
E5 05 ijcite august 2014
E5 05 ijcite august 2014E5 05 ijcite august 2014
E5 05 ijcite august 2014
 

Viewers also liked

Agile 2013 presentation, tom grant
Agile 2013 presentation, tom grantAgile 2013 presentation, tom grant
Agile 2013 presentation, tom grant
Tom Grant
 
Pattern - an open source project for migrating predictive models from SAS, et...
Pattern - an open source project for migrating predictive models from SAS, et...Pattern - an open source project for migrating predictive models from SAS, et...
Pattern - an open source project for migrating predictive models from SAS, et...
DataWorks Summit
 
Max Kuhn's talk on R machine learning
Max Kuhn's talk on R machine learningMax Kuhn's talk on R machine learning
Max Kuhn's talk on R machine learning
Vivian S. Zhang
 
Predictive Maintenance with R
Predictive Maintenance with RPredictive Maintenance with R
Predictive Maintenance with R
eoda GmbH
 
Predictive maintenance
Predictive maintenancePredictive maintenance
Predictive maintenance
James Shearer
 

Viewers also liked (15)

20160512 predictive and adaptive approach
20160512   predictive and adaptive approach20160512   predictive and adaptive approach
20160512 predictive and adaptive approach
 
Agile 2013 presentation, tom grant
Agile 2013 presentation, tom grantAgile 2013 presentation, tom grant
Agile 2013 presentation, tom grant
 
Bio variance j_scheiber_bioit_repurposingworkshop2013_draft
Bio variance j_scheiber_bioit_repurposingworkshop2013_draftBio variance j_scheiber_bioit_repurposingworkshop2013_draft
Bio variance j_scheiber_bioit_repurposingworkshop2013_draft
 
Predictive Modeling in Underwriting
Predictive Modeling in UnderwritingPredictive Modeling in Underwriting
Predictive Modeling in Underwriting
 
Bayesian models in r
Bayesian models in rBayesian models in r
Bayesian models in r
 
Data Science Academy Student Demo day--Divyanka Sharma, Businesses in nyc
Data Science Academy Student Demo day--Divyanka Sharma, Businesses in nycData Science Academy Student Demo day--Divyanka Sharma, Businesses in nyc
Data Science Academy Student Demo day--Divyanka Sharma, Businesses in nyc
 
Data mining (DM) in the pharmaceutical industry
Data mining (DM) in the pharmaceutical industryData mining (DM) in the pharmaceutical industry
Data mining (DM) in the pharmaceutical industry
 
Pattern - an open source project for migrating predictive models from SAS, et...
Pattern - an open source project for migrating predictive models from SAS, et...Pattern - an open source project for migrating predictive models from SAS, et...
Pattern - an open source project for migrating predictive models from SAS, et...
 
Max Kuhn's talk on R machine learning
Max Kuhn's talk on R machine learningMax Kuhn's talk on R machine learning
Max Kuhn's talk on R machine learning
 
Predictive Maintenance with R
Predictive Maintenance with RPredictive Maintenance with R
Predictive Maintenance with R
 
Big Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use CasesBig Data in Pharma - Overview and Use Cases
Big Data in Pharma - Overview and Use Cases
 
[Tutorial] building machine learning models for predictive maintenance applic...
[Tutorial] building machine learning models for predictive maintenance applic...[Tutorial] building machine learning models for predictive maintenance applic...
[Tutorial] building machine learning models for predictive maintenance applic...
 
Predictive maintenance
Predictive maintenancePredictive maintenance
Predictive maintenance
 
TALIS UK Reputation and Water report
TALIS UK Reputation and Water reportTALIS UK Reputation and Water report
TALIS UK Reputation and Water report
 
Mobile Health Forum Frankfurt - Therapieempfehlung per Smartphone
Mobile Health Forum Frankfurt - Therapieempfehlung per SmartphoneMobile Health Forum Frankfurt - Therapieempfehlung per Smartphone
Mobile Health Forum Frankfurt - Therapieempfehlung per Smartphone
 

Similar to Zeller Edm Summit Agile Deployment Of Predictive Analytics

Robert LeBlanc - Cloud Forum Presentation
Robert LeBlanc - Cloud Forum Presentation Robert LeBlanc - Cloud Forum Presentation
Robert LeBlanc - Cloud Forum Presentation
Mauricio Godoy
 
Azure Overview Csco
Azure Overview CscoAzure Overview Csco
Azure Overview Csco
rajramab
 

Similar to Zeller Edm Summit Agile Deployment Of Predictive Analytics (20)

Robert LeBlanc - Cloud Forum Presentation
Robert LeBlanc - Cloud Forum Presentation Robert LeBlanc - Cloud Forum Presentation
Robert LeBlanc - Cloud Forum Presentation
 
Big Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesBig Data: It’s all about the Use Cases
Big Data: It’s all about the Use Cases
 
Information management
Information managementInformation management
Information management
 
Building a Hybrid Cloud The Real Deal
Building a Hybrid Cloud The Real DealBuilding a Hybrid Cloud The Real Deal
Building a Hybrid Cloud The Real Deal
 
Build vs Migrate to PaaS
Build vs Migrate to PaaSBuild vs Migrate to PaaS
Build vs Migrate to PaaS
 
Cloud Computing and Microsoft
Cloud Computing and MicrosoftCloud Computing and Microsoft
Cloud Computing and Microsoft
 
Knowledge management and information system
Knowledge management and information systemKnowledge management and information system
Knowledge management and information system
 
Emerging Technology in the Cloud! Real Life Examples. Pol Mac Aonghusa
Emerging Technology in the Cloud! Real Life Examples.  Pol Mac AonghusaEmerging Technology in the Cloud! Real Life Examples.  Pol Mac Aonghusa
Emerging Technology in the Cloud! Real Life Examples. Pol Mac Aonghusa
 
Microsoft Build 2020: Data Science Recap
Microsoft Build 2020: Data Science RecapMicrosoft Build 2020: Data Science Recap
Microsoft Build 2020: Data Science Recap
 
Cloud is the new normal - Red Hat Forum Bangalore 2015
Cloud is the new normal - Red Hat Forum Bangalore 2015Cloud is the new normal - Red Hat Forum Bangalore 2015
Cloud is the new normal - Red Hat Forum Bangalore 2015
 
Azure Overview Csco
Azure Overview CscoAzure Overview Csco
Azure Overview Csco
 
The REMICS model-driven process for migrating legacy applications to the cloud
The REMICS model-driven process for migrating legacy applications to the cloudThe REMICS model-driven process for migrating legacy applications to the cloud
The REMICS model-driven process for migrating legacy applications to the cloud
 
Insider's introduction to microsoft azure machine learning: 201411 Seattle Bu...
Insider's introduction to microsoft azure machine learning: 201411 Seattle Bu...Insider's introduction to microsoft azure machine learning: 201411 Seattle Bu...
Insider's introduction to microsoft azure machine learning: 201411 Seattle Bu...
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)
 
The Impact of Cloud Computing on Predictive Analytics 7-29-09 v5
The Impact of Cloud Computing on Predictive Analytics 7-29-09 v5The Impact of Cloud Computing on Predictive Analytics 7-29-09 v5
The Impact of Cloud Computing on Predictive Analytics 7-29-09 v5
 
New Achitectures
New AchitecturesNew Achitectures
New Achitectures
 
Azure Services Platform_Partner_Briefing
Azure Services Platform_Partner_BriefingAzure Services Platform_Partner_Briefing
Azure Services Platform_Partner_Briefing
 
Cloud Computing
Cloud ComputingCloud Computing
Cloud Computing
 
The New Normal: Benefits of Cloud Computing and Defining your IT Strategy
The New Normal: Benefits of Cloud Computing and Defining your IT StrategyThe New Normal: Benefits of Cloud Computing and Defining your IT Strategy
The New Normal: Benefits of Cloud Computing and Defining your IT Strategy
 
Platform for Innovation - AWS
Platform for Innovation - AWSPlatform for Innovation - AWS
Platform for Innovation - AWS
 

Recently uploaded

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Christopher Logan Kennedy
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

Zeller Edm Summit Agile Deployment Of Predictive Analytics

  • 1. Michael Zeller, Ph.D. CEO Zementis, Inc. EDM Summit October 30, 2008 Agile Deployment of Predictive Analytics Using Amazon EC2
  • 2.
  • 3.
  • 4. Business Objective for Predictive Analytics Improve Processes 1 2 3 Leverage in Every Business Process Shorten Time-to-Market Reduce Complexity and Cost Make Smarter Decisions Automate Decisions Agility to Quickly Change with Market Conditions Ensure Consistent Decisions
  • 5.
  • 6. Integration Web-service calls allow for fast integration Development Open Standards R allows for reliable data manipulation and model building Deployment PMML allows for easy expression and deployment of data transformations and data-mining models Development, Integration, and Deployment
  • 7. Development, Integration, and Deployment Integration Web-service calls allow for fast integration Development R allows for reliable data manipulation and model building Deployment PMML allows for easy expression and deployment of data transformations and data-mining models Open Standards
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Got Models… Data Analysis Statistical Model PMML Export What Now?
  • 15. Cloud Computing You are already using it everyday: Google search, Gmail, Salesforce.com, … Computing as a “Utility” Evolve from “World Wide Web” to “World Wide Computer” Applications/Services/Storage/CPUs on the Internet. Incorporate via SOA Standards and Web Services. Emerging Utility Providers: Amazon, Sun, Google... Promise: Scalable, secure, reliable and more cost-effective than do-it-yourself.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. Model Building Extensive data analysis and manipulation as well as selection of the most appropriate statistical modeling technique. These steps can then be represented as a PMML file. Model Execution Amazon EC2 offers utility computing with virtually unlimited scalability as well as flexible choice of server size based on memory and processing needs. From the Desktop to the Cloud: Bridging the Gap with ADAPA Scientist's Desktop Amazon EC2 ADAPA (WS & PMML)
  • 21. Scalable Execution Platform Environment to Manage Models and Rules Framework for SOA-based IT Integration ADAPA is not ... Data transformation and model execution in real-time or batch mode. Deploys one or many models or rules sets. Manages and maintains these through a web console. Completely standards-based and easily integrated into any existing infrastructure. Not a model development environment. ADAPA SaaS Predictive Analytics on Amazon EC2 The ADAPA Example
  • 22.
  • 23. 1 Data Extraction and Analysis Model Building PMML Export PMML Import Web-Service Calls Model Execution 2 3 4 5 6 1 through 6 – From Raw Data to Smart Decisions
  • 24. Fast and effective creation of your presentation Appealing visualization of your contents Your E nterprise D ecision M anagement Strategy 1 2 3 4
  • 25. Thank You! U.S.A Asia E-mail: [email_address] 19/F., Unit A Ho Lee Commercial Building 38-44 D’Aguilar Street Central, Hong Kong (S.A.R.) Tel: +852 2868-0878 Fax: +852 2845-6027 6125 Cornerstone Court East Suite 250 San Diego, CA, 92121 Tel: +1 619 330-0780 Fax: +1 858 535-0227