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

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 MLflowDatabricks
 
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! | SysforeSysfore Technologies
 
AzureML TechTalk
AzureML TechTalkAzureML TechTalk
AzureML TechTalkUdaya Kumar
 
.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 2014Mark Tabladillo
 
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 lyingcom
 
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...Tyler Wishnoff
 
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 @ forterIdo Shilon
 
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 AnalyticsSingleStore
 
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 CervedData Science Milan
 
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 SageMakerProvectus
 
Enabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoTEnabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoTSingleStore
 
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...Skender Kollcaku
 
Pm.ais ummit 180917 final
Pm.ais ummit 180917 finalPm.ais ummit 180917 final
Pm.ais ummit 180917 finalNisha Talagala
 
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 ApplicationsJohann Schleier-Smith
 
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 ...GoDataDriven
 
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)Ankit Rathi
 
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 practiceLviv Startup Club
 
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 StarbucksDatabricks
 
E5 05 ijcite august 2014
E5 05 ijcite august 2014E5 05 ijcite august 2014
E5 05 ijcite august 2014ijcite
 

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

20160512 predictive and adaptive approach
20160512   predictive and adaptive approach20160512   predictive and adaptive approach
20160512 predictive and adaptive approachSilvia Fragola
 
Agile 2013 presentation, tom grant
Agile 2013 presentation, tom grantAgile 2013 presentation, tom grant
Agile 2013 presentation, tom grantTom 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_draftJosef Scheiber
 
Predictive Modeling in Underwriting
Predictive Modeling in UnderwritingPredictive Modeling in Underwriting
Predictive Modeling in UnderwritingKevin Pledge
 
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 nycVivian S. Zhang
 
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 industrylurdhu agnes
 
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 learningVivian S. Zhang
 
Predictive Maintenance with R
Predictive Maintenance with RPredictive Maintenance with R
Predictive Maintenance with Reoda GmbH
 
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 CasesJosef Scheiber
 
[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...PAPIs.io
 
Predictive maintenance
Predictive maintenancePredictive maintenance
Predictive maintenanceJames Shearer
 
TALIS UK Reputation and Water report
TALIS UK Reputation and Water reportTALIS UK Reputation and Water report
TALIS UK Reputation and Water reportTalis UK
 
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 SmartphoneJosef Scheiber
 

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
 
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 CasesJames Serra
 
Information management
Information managementInformation management
Information managementDavid Champeau
 
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 DealRightScale
 
Cloud Computing and Microsoft
Cloud Computing and MicrosoftCloud Computing and Microsoft
Cloud Computing and MicrosoftJohn Bristowe
 
Knowledge management and information system
Knowledge management and information systemKnowledge management and information system
Knowledge management and information systemnihad341
 
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 Aonghusacatherinewall
 
Microsoft Build 2020: Data Science Recap
Microsoft Build 2020: Data Science RecapMicrosoft Build 2020: Data Science Recap
Microsoft Build 2020: Data Science RecapMark Tabladillo
 
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 2015Red Hat India Pvt. Ltd.
 
Azure Overview Csco
Azure Overview CscoAzure Overview Csco
Azure Overview Cscorajramab
 
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 cloudMarcos Almeida
 
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...Mark Tabladillo
 
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)IJERD Editor
 
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 v5Robert Grossman
 
Azure Services Platform_Partner_Briefing
Azure Services Platform_Partner_BriefingAzure Services Platform_Partner_Briefing
Azure Services Platform_Partner_BriefingWes Yanaga
 
Cloud Computing
Cloud ComputingCloud Computing
Cloud Computingwebscale
 
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 StrategyAmazon Web Services
 

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

Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 

Recently uploaded (20)

Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 

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