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Big data framework

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Big data framework

  1. 1. Big Data autonomous convergence
  2. 2. State of the state • Companies are creating through the narrow focus of revenue generation • Data Lakes /oceans are landlocked • Academics are creating open source tools • Individuals must be empowered with open source data lakes • Autonomous convergence is vital to economic advantage
  3. 3. Presumption • It’s an art • It’s a science • It’s magic to anyone outside the theater • Presumption is built into everything we do
  4. 4. What do you want to be when your grow up • Mathematician - Modeling • Programer - Modeling pathways • Philosopher - Modeling questions • Empowered individual data avatar
  5. 5. What does this mean for you? ! Continuous education and discovery
  6. 6. How should you value Big Data and it’s future?
  7. 7. 4 Quadrants
  8. 8. Quantify value • Accumulation - Building a sea of objects • Abstraction - Moving data to the end points • Autonomy - Creating dynamic focus • Simulation - Dynamic probability testing
  9. 9. 3 Vectors
  10. 10. Triangulate value • Diversity - Discrete data feeds (IoT) • Velocity - From realtime to simulations • Profiles - Focal points: People, places, markets
  11. 11. The whole story Google Car
  12. 12. The needle in a haystack When every piece of hay knows the needle doesn't belong, it can no longer hide
  13. 13. Executive movement What is the impact of an executive moving from company X to Y? ! How will your relationship to both change?
  14. 14. Beyond privacy In subtraction we stand out ! We need to think of ways to secure our virtual reality !
  15. 15. What if we don’t like the options? • Being ahead of the game is just the start of this chess game • Being ahead of countless virtual games is the future • Picking your game is the challenge now
  16. 16. –Stephen Pieraldi “Like air to man, water to fish, data will feed our minds.”

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