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Crossing the Chasm

Crossing the Chasm. What’s New? What’s Not?. Strata Conference Santa Clara: February 12, 2014. How High-Tech Markets Develop The Technology Adoption Life Cycle. MAIN STREET. TORNADO. EARLY MARKET. BOWLING ALLEY. CHASM. Laggards. Late Majority (Conservatives). Innovators.

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Crossing the Chasm

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  1. Crossing the Chasm What’s New? What’s Not? Strata Conference Santa Clara: February 12, 2014

  2. How High-Tech Markets DevelopThe Technology Adoption Life Cycle MAIN STREET TORNADO EARLY MARKET BOWLING ALLEY CHASM Laggards Late Majority (Conservatives) Innovators Early Majority (Pragmatists) Early Adopters (Visionaries)

  3. Crossing the ChasmTwo Key Principles • Target a “beachhead” segment • Niche market with an intractable problem, not solvable by conventional means • Process owner is under pressure to find a solution • Pragmatists are willing to consider disruptive approach • Commit to provide the “whole product” • Complete solution to the intractable problem • Typically involves products and services from partners and allies • Lead vendor takes responsibility for ensuring customer success

  4. Crossing the ChasmWhat’s New? Consumer IT! • Digital Services • Light to deploy, focus on user experience • The Lean Start-Up • Minimum viable product, rapid agile learning • Leap to the tornado • Critical Success Factors: The Four Gears • Acquire • Engage • Convert • Enlist We don’t need no stinkin’ whole products!!

  5. Crossing the ChasmWhat’s Not? Enterprise IT! • Taking the Enterprise Digital • Heavy to deploy, focus on end-to-end systems • Crossing the Chasm • Whole product, partners and allies • Bowling alley strategy • Critical Success Factors • Pre-chasm • Breakthrough projects with top-tier brands • Post-chasm • High value use cases with compelling reasons to buy

  6. Big Data: 2014Technology Enthuiasts: Cool Tools!! Stinger MLbase Hive Go Accumulo BlinkDB Shark Pig Mesos Tachyion Cassandra Python Giraph GraphX Spark

  7. Big Data: 2014Visionaries: Powerful Concepts! • Extreme machine learning • Collaborative predictive analytics • Scale-invariant intelligence • Neural networks for machine perception • Real-time interactive big data visualization • Graph all the things • Large scale machine learning cookbooks • Collecting massive data via crowd-sourcing

  8. Big Data: 2014Visionaries: Big Opportunities! • Data-powered government • Creating the digital brain • Big industrial internet data • Driving the future of smart cities • The ocean’s big data platform • Big data maps to renewable energy • Open source big data for defense • Big data for big power: the smart grid

  9. Big Data: 2015Crossing the Chasm: Pragmatists in Pain! • Big Data visionaries pose existential threats • Amazon and the existence of traditional RETAIL • Google and the future of traditional ADVERTISING • Cybercriminals and the future of traditional SECURITY • The penny drops: • “Without big data analytics, companies are blind and deaf, wandering out onto the web like deer onto a freeway.”

  10. gmoore@geoffreyamoore.comtwitter.com/geoffreyamoorehttp://linkd.in/YnBwiggmoore@geoffreyamoore.comtwitter.com/geoffreyamoorehttp://linkd.in/YnBwig Thank You

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