SlideShare a Scribd company logo
How	
  Big	
  Data	
  Can	
  Help	
  Your	
  
                Business:	
  	
  
Case	
  Studies	
  from	
  ReadWriteWeb	
  
                                David	
  Strom	
  
                            StampedeCon	
  
                           August	
  1,	
  2012	
  
                         david@strom.com	
  
   Download	
  this	
  here:	
  h?p://slideshare.net/davidstrom	
  
My	
  publicaDons	
  
Editorial management positions:
So	
  Big	
  Data	
  does	
  come	
  from	
  
                         everywhere!	
  
•    Planes,	
  trains	
  and	
  automobiles	
  
•    Fun	
  with	
  maps	
  
•    Big	
  and	
  li?le	
  ovens	
  
•    Lessons	
  learned	
  from	
  P&G	
  
•    Noteworthy	
  scienDsts	
  
•    And	
  of	
  course	
  sex!	
  
StartupCompass.co	
  
The	
  reason	
  behind	
  
Three	
  skills	
  for	
  big	
  data	
  CEOs	
  
•  Strategic	
  data	
  planning.	
  	
  Data	
  is	
  the	
  new	
  raw	
  
   material	
  for	
  any	
  business.	
  
•  Analy>cal	
  skills.	
  CEOs	
  should	
  be	
  incredibly	
  
   smart	
  about	
  asking	
  the	
  right	
  quesDons.	
  
•  Technology	
  skills.	
  Embrace	
  the	
  technology	
  
   and	
  make	
  it	
  a	
  key	
  part	
  of	
  your	
  CEO	
  skill	
  set.	
  
More	
  from	
  Jeff	
  Jonas	
  



              vs.	
  
Mason’s	
  5-­‐step	
  Big	
  Data	
  process	
  
•    Obtain	
  
•    Scrub	
  
•    Explore	
  
•    Model	
  
•    Interpret	
  	
  
QuesDons?	
  
          David	
  Strom	
  
    david@strom.com	
  
         314	
  277	
  7832	
  
    @dstrom	
  (Twi?er)	
  
h?p://strominator.com	
  

More Related Content

Similar to How Big Data Can Help Your Business: Case Studies from ReadWriteWeb - StampedeCon 2012

DataEd Slides: Data Management Best Practices
DataEd Slides: Data Management Best PracticesDataEd Slides: Data Management Best Practices
DataEd Slides: Data Management Best Practices
DATAVERSITY
 
Necessary Prerequisites to Data Success
Necessary Prerequisites to Data SuccessNecessary Prerequisites to Data Success
Necessary Prerequisites to Data Success
DATAVERSITY
 
The truth is out there
The truth is out thereThe truth is out there
The truth is out there
Mike Davis
 
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Business Development Institute
 
Big MDM Part 2: Using a Graph Database for MDM and Relationship Management
Big MDM Part 2: Using a Graph Database for MDM and Relationship ManagementBig MDM Part 2: Using a Graph Database for MDM and Relationship Management
Big MDM Part 2: Using a Graph Database for MDM and Relationship Management
Caserta
 
BDA 2012 Big data why the big fuss?
BDA 2012 Big data why the big fuss?BDA 2012 Big data why the big fuss?
BDA 2012 Big data why the big fuss?
Christopher Bradley
 
The Business Value of Big Data
The Business Value of Big DataThe Business Value of Big Data
The Business Value of Big Data
Clark Boyd
 
What Managers Need to Know about Data Science
What Managers Need to Know about Data ScienceWhat Managers Need to Know about Data Science
What Managers Need to Know about Data Science
Annie Flippo
 
Big data analytics
Big data analyticsBig data analytics
Big data analytics
David Strom
 
Big data analytics
Big data analyticsBig data analytics
Big data analytics
David Strom Inc.
 
2017 06-14-getting started with data science
2017 06-14-getting started with data science2017 06-14-getting started with data science
2017 06-14-getting started with data science
Thinkful
 
Big data & data science challenges and opportunities
Big data & data science   challenges and opportunitiesBig data & data science   challenges and opportunities
Big data & data science challenges and opportunities
Jose Quesada
 
Profit from AI & Machine Learning: The Best Practices for People & Process
Profit from AI & Machine Learning: The Best Practices for People & ProcessProfit from AI & Machine Learning: The Best Practices for People & Process
Profit from AI & Machine Learning: The Best Practices for People & Process
Tony Baer
 
Big Data; Big Potential: How to find the talent who can harness its power
Big Data; Big Potential: How to find the talent who can harness its powerBig Data; Big Potential: How to find the talent who can harness its power
Big Data; Big Potential: How to find the talent who can harness its power
Lucas Group
 
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data SinsDataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data Sins
DATAVERSITY
 
Loras College 2016 Business Analytics Symposium Keynote
Loras College 2016 Business Analytics Symposium KeynoteLoras College 2016 Business Analytics Symposium Keynote
Loras College 2016 Business Analytics Symposium Keynote
Rich Clayton
 
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...CityAge
 
Big analytics best practices @ PARC
Big analytics best practices @ PARCBig analytics best practices @ PARC
Big analytics best practices @ PARC
Jim Kaskade
 
From Paris Hilton to Walmart: welcome to the Big Data Revolution
From Paris Hilton to Walmart: welcome to the Big Data RevolutionFrom Paris Hilton to Walmart: welcome to the Big Data Revolution
From Paris Hilton to Walmart: welcome to the Big Data Revolution
William Visterin
 
Usama Fayyad talk in South Africa: From BigData to Data Science
Usama Fayyad talk in South Africa:  From BigData to Data ScienceUsama Fayyad talk in South Africa:  From BigData to Data Science
Usama Fayyad talk in South Africa: From BigData to Data Science
Usama Fayyad
 

Similar to How Big Data Can Help Your Business: Case Studies from ReadWriteWeb - StampedeCon 2012 (20)

DataEd Slides: Data Management Best Practices
DataEd Slides: Data Management Best PracticesDataEd Slides: Data Management Best Practices
DataEd Slides: Data Management Best Practices
 
Necessary Prerequisites to Data Success
Necessary Prerequisites to Data SuccessNecessary Prerequisites to Data Success
Necessary Prerequisites to Data Success
 
The truth is out there
The truth is out thereThe truth is out there
The truth is out there
 
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
Big Data 101, What It Means for Business - BDI 12/4/13 The Future of Financia...
 
Big MDM Part 2: Using a Graph Database for MDM and Relationship Management
Big MDM Part 2: Using a Graph Database for MDM and Relationship ManagementBig MDM Part 2: Using a Graph Database for MDM and Relationship Management
Big MDM Part 2: Using a Graph Database for MDM and Relationship Management
 
BDA 2012 Big data why the big fuss?
BDA 2012 Big data why the big fuss?BDA 2012 Big data why the big fuss?
BDA 2012 Big data why the big fuss?
 
The Business Value of Big Data
The Business Value of Big DataThe Business Value of Big Data
The Business Value of Big Data
 
What Managers Need to Know about Data Science
What Managers Need to Know about Data ScienceWhat Managers Need to Know about Data Science
What Managers Need to Know about Data Science
 
Big data analytics
Big data analyticsBig data analytics
Big data analytics
 
Big data analytics
Big data analyticsBig data analytics
Big data analytics
 
2017 06-14-getting started with data science
2017 06-14-getting started with data science2017 06-14-getting started with data science
2017 06-14-getting started with data science
 
Big data & data science challenges and opportunities
Big data & data science   challenges and opportunitiesBig data & data science   challenges and opportunities
Big data & data science challenges and opportunities
 
Profit from AI & Machine Learning: The Best Practices for People & Process
Profit from AI & Machine Learning: The Best Practices for People & ProcessProfit from AI & Machine Learning: The Best Practices for People & Process
Profit from AI & Machine Learning: The Best Practices for People & Process
 
Big Data; Big Potential: How to find the talent who can harness its power
Big Data; Big Potential: How to find the talent who can harness its powerBig Data; Big Potential: How to find the talent who can harness its power
Big Data; Big Potential: How to find the talent who can harness its power
 
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data SinsDataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data Sins
 
Loras College 2016 Business Analytics Symposium Keynote
Loras College 2016 Business Analytics Symposium KeynoteLoras College 2016 Business Analytics Symposium Keynote
Loras College 2016 Business Analytics Symposium Keynote
 
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
The Data Effect: Canadian Big Data & Analytics Update - Dr. Alison Brooks Dir...
 
Big analytics best practices @ PARC
Big analytics best practices @ PARCBig analytics best practices @ PARC
Big analytics best practices @ PARC
 
From Paris Hilton to Walmart: welcome to the Big Data Revolution
From Paris Hilton to Walmart: welcome to the Big Data RevolutionFrom Paris Hilton to Walmart: welcome to the Big Data Revolution
From Paris Hilton to Walmart: welcome to the Big Data Revolution
 
Usama Fayyad talk in South Africa: From BigData to Data Science
Usama Fayyad talk in South Africa:  From BigData to Data ScienceUsama Fayyad talk in South Africa:  From BigData to Data Science
Usama Fayyad talk in South Africa: From BigData to Data Science
 

More from StampedeCon

Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...
Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...
Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...
StampedeCon
 
The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017
The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017
The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017
StampedeCon
 
Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017
Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017
Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017
StampedeCon
 
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...
StampedeCon
 
How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017
How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017
How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017
StampedeCon
 
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017
StampedeCon
 
Foundations of Machine Learning - StampedeCon AI Summit 2017
Foundations of Machine Learning - StampedeCon AI Summit 2017Foundations of Machine Learning - StampedeCon AI Summit 2017
Foundations of Machine Learning - StampedeCon AI Summit 2017
StampedeCon
 
Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...
Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...
Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...
StampedeCon
 
Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...
Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...
Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...
StampedeCon
 
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017
StampedeCon
 
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017
AI in the Enterprise: Past,  Present &  Future - StampedeCon AI Summit 2017AI in the Enterprise: Past,  Present &  Future - StampedeCon AI Summit 2017
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017
StampedeCon
 
A Different Data Science Approach - StampedeCon AI Summit 2017
A Different Data Science Approach - StampedeCon AI Summit 2017A Different Data Science Approach - StampedeCon AI Summit 2017
A Different Data Science Approach - StampedeCon AI Summit 2017
StampedeCon
 
Graph in Customer 360 - StampedeCon Big Data Conference 2017
Graph in Customer 360 - StampedeCon Big Data Conference 2017Graph in Customer 360 - StampedeCon Big Data Conference 2017
Graph in Customer 360 - StampedeCon Big Data Conference 2017
StampedeCon
 
End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017
End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017
End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017
StampedeCon
 
Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017
Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017
Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017
StampedeCon
 
Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...
Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...
Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...
StampedeCon
 
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...
StampedeCon
 
Innovation in the Data Warehouse - StampedeCon 2016
Innovation in the Data Warehouse - StampedeCon 2016Innovation in the Data Warehouse - StampedeCon 2016
Innovation in the Data Warehouse - StampedeCon 2016
StampedeCon
 
Creating a Data Driven Organization - StampedeCon 2016
Creating a Data Driven Organization - StampedeCon 2016Creating a Data Driven Organization - StampedeCon 2016
Creating a Data Driven Organization - StampedeCon 2016
StampedeCon
 
Using The Internet of Things for Population Health Management - StampedeCon 2016
Using The Internet of Things for Population Health Management - StampedeCon 2016Using The Internet of Things for Population Health Management - StampedeCon 2016
Using The Internet of Things for Population Health Management - StampedeCon 2016
StampedeCon
 

More from StampedeCon (20)

Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...
Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...
Why Should We Trust You-Interpretability of Deep Neural Networks - StampedeCo...
 
The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017
The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017
The Search for a New Visual Search Beyond Language - StampedeCon AI Summit 2017
 
Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017
Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017
Predicting Outcomes When Your Outcomes are Graphs - StampedeCon AI Summit 2017
 
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...
Novel Semi-supervised Probabilistic ML Approach to SNP Variant Calling - Stam...
 
How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017
How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017
How to Talk about AI to Non-analaysts - Stampedecon AI Summit 2017
 
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017
Getting Started with Keras and TensorFlow - StampedeCon AI Summit 2017
 
Foundations of Machine Learning - StampedeCon AI Summit 2017
Foundations of Machine Learning - StampedeCon AI Summit 2017Foundations of Machine Learning - StampedeCon AI Summit 2017
Foundations of Machine Learning - StampedeCon AI Summit 2017
 
Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...
Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...
Don't Start from Scratch: Transfer Learning for Novel Computer Vision Problem...
 
Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...
Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...
Bringing the Whole Elephant Into View Can Cognitive Systems Bring Real Soluti...
 
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017
Automated AI The Next Frontier in Analytics - StampedeCon AI Summit 2017
 
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017
AI in the Enterprise: Past,  Present &  Future - StampedeCon AI Summit 2017AI in the Enterprise: Past,  Present &  Future - StampedeCon AI Summit 2017
AI in the Enterprise: Past, Present & Future - StampedeCon AI Summit 2017
 
A Different Data Science Approach - StampedeCon AI Summit 2017
A Different Data Science Approach - StampedeCon AI Summit 2017A Different Data Science Approach - StampedeCon AI Summit 2017
A Different Data Science Approach - StampedeCon AI Summit 2017
 
Graph in Customer 360 - StampedeCon Big Data Conference 2017
Graph in Customer 360 - StampedeCon Big Data Conference 2017Graph in Customer 360 - StampedeCon Big Data Conference 2017
Graph in Customer 360 - StampedeCon Big Data Conference 2017
 
End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017
End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017
End-to-end Big Data Projects with Python - StampedeCon Big Data Conference 2017
 
Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017
Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017
Doing Big Data Using Amazon's Analogs - StampedeCon Big Data Conference 2017
 
Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...
Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...
Enabling New Business Capabilities with Cloud-based Streaming Data Architectu...
 
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...
Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyz...
 
Innovation in the Data Warehouse - StampedeCon 2016
Innovation in the Data Warehouse - StampedeCon 2016Innovation in the Data Warehouse - StampedeCon 2016
Innovation in the Data Warehouse - StampedeCon 2016
 
Creating a Data Driven Organization - StampedeCon 2016
Creating a Data Driven Organization - StampedeCon 2016Creating a Data Driven Organization - StampedeCon 2016
Creating a Data Driven Organization - StampedeCon 2016
 
Using The Internet of Things for Population Health Management - StampedeCon 2016
Using The Internet of Things for Population Health Management - StampedeCon 2016Using The Internet of Things for Population Health Management - StampedeCon 2016
Using The Internet of Things for Population Health Management - StampedeCon 2016
 

Recently uploaded

Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
DianaGray10
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 

Recently uploaded (20)

Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 

How Big Data Can Help Your Business: Case Studies from ReadWriteWeb - StampedeCon 2012

  • 1. How  Big  Data  Can  Help  Your   Business:     Case  Studies  from  ReadWriteWeb   David  Strom   StampedeCon   August  1,  2012   david@strom.com   Download  this  here:  h?p://slideshare.net/davidstrom  
  • 2.
  • 3. My  publicaDons   Editorial management positions:
  • 4. So  Big  Data  does  come  from   everywhere!   •  Planes,  trains  and  automobiles   •  Fun  with  maps   •  Big  and  li?le  ovens   •  Lessons  learned  from  P&G   •  Noteworthy  scienDsts   •  And  of  course  sex!  
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 18.
  • 20. Three  skills  for  big  data  CEOs   •  Strategic  data  planning.    Data  is  the  new  raw   material  for  any  business.   •  Analy>cal  skills.  CEOs  should  be  incredibly   smart  about  asking  the  right  quesDons.   •  Technology  skills.  Embrace  the  technology   and  make  it  a  key  part  of  your  CEO  skill  set.  
  • 21.
  • 22. More  from  Jeff  Jonas   vs.  
  • 23.
  • 24. Mason’s  5-­‐step  Big  Data  process   •  Obtain   •  Scrub   •  Explore   •  Model   •  Interpret    
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38. QuesDons?   David  Strom   david@strom.com   314  277  7832   @dstrom  (Twi?er)   h?p://strominator.com