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Ecosystem Development
Big Data & Analytics Day
September 2014
1
Chris Heckart
checkart@us.ibm.com
© 2014 IBM Corporation2
Big Data & Analytics Day
Part 1 – Big Data and Analytics Essentials
Duration: 2.5 hours
 Introduction - The Path to New Value with IBM Big Data & Analytics
 Infrastructure Matters
 The Big Data Analytics Value Proposition
 The Big Data Market
 Industry Use Cases
 Into the future with Big Data Analytics
 Connecting our Bodies to the Cloud
 Part 1 Conclusion
Ecosystem Development
© 2014 IBM Corporation3
Big Data & Analytics Day
Part 2 – Big Data Analytics in Detail
Duration: 3-4 hours
 Connecting our Bodies to the Cloud - Technical Breakdown
 Architecture of the Solution
 Open Cloud environment with IBM Bluemix
 Connected devices
 Usage of IBM Bluemix Services
 Building the Analytics layer
 Hands on Lab
 SPSS Demo
 Extending the demo scenario
 Wrap up / Summary / Next Steps
Ecosystem Development

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BD&A Day

  • 1. Ecosystem Development Big Data & Analytics Day September 2014 1 Chris Heckart checkart@us.ibm.com
  • 2. © 2014 IBM Corporation2 Big Data & Analytics Day Part 1 – Big Data and Analytics Essentials Duration: 2.5 hours  Introduction - The Path to New Value with IBM Big Data & Analytics  Infrastructure Matters  The Big Data Analytics Value Proposition  The Big Data Market  Industry Use Cases  Into the future with Big Data Analytics  Connecting our Bodies to the Cloud  Part 1 Conclusion Ecosystem Development
  • 3. © 2014 IBM Corporation3 Big Data & Analytics Day Part 2 – Big Data Analytics in Detail Duration: 3-4 hours  Connecting our Bodies to the Cloud - Technical Breakdown  Architecture of the Solution  Open Cloud environment with IBM Bluemix  Connected devices  Usage of IBM Bluemix Services  Building the Analytics layer  Hands on Lab  SPSS Demo  Extending the demo scenario  Wrap up / Summary / Next Steps Ecosystem Development

Notas del editor

  1. Title TBC A Day in Big Data and Analytics Big Data Analytics Illuminated Practical Big Data and Analytics Big Data Analytics Explained Big Data and Analytics Illustrated Applied Big Data and Analytics Big Data Analytics at Work
  2. Use Cases: Plenty of choice available. Local teams can select relevant ones Future: Watson Analytics & demo, include content navigator slide Call Comments from Sept 16 Use insight ppt for demo intro + other intro Demo via video Require some idea of partner profiles Comments Maria: screenshots to be added to the bottom of the slide (sandy style!)
  3. HOL: attendees can choose from a selection of Bluemix labs Demo Extension: Stream computing, Cognos, Internet of Things Bluemix service, Content Navigator, Data/Watson Explorer, Information Governance etc Call Comments from Sept 16 Labs – using existing labs and change to reflect demo. Internet of things Hadoop – using big insights Later date: use RAVE engine lab from Oct + predictive analytics Q4 Have an SPSS Modeler demo – expand stream and visualize in the meantime. Start with this. Presentations: (keep to a min for each in terms of number of slides) Walkthrough demo video/live and illustrate with screenshots and explanation as well as some product explanation Split into 2 parts: Part 1 oriented to wards the business value and at a higher level driven by the demo (3 hours) Part 2 oriented towards the more technical together with a choice of hands on labs (2-3 hours) Use Cases possibilities: Verint, Lloyds … Into the future with Big Data Analytics: watsonanalytics.com ALL labs to be based on and use Bluemix