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Business Transformation and Strategy for Large Companies in the Age of AI - Peter Evans, The CGE


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Business Transformation and Strategy for Large Companies in the Age of AI - Peter Evans, The Center for Global Enterprise

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Business Transformation and Strategy for Large Companies in the Age of AI - Peter Evans, The CGE

  1. 1. Peter Evans, PhD Vice President Center for Global Enterprise H2O Open Tour New York, NY July 19, 2016 1 Business Transformation | Strategy | Large Companies | Age of AI
  2. 2. World's 500 largest companies 2 Revenue $ 31.2 trillion Profits $ 1.7 trillion # Employees 65 million Collective Size Source: Fortune Global 500 2015 and Center for Global Enterprise. Countries
  3. 3. 3 Strategic Fit
  4. 4. 4
  5. 5. A framework for understanding change 5 • Major world shaping trendsMegatrends • DisruptorsShocks • Restrictions on market actorsConstraints • Facilitators (e.g. tech innovation)Enablers
  6. 6. 6 Mega Trend
  7. 7. Rise of the data layer 7 New locus of value creation and capture Agriculture Physical Layer Energy Physical Layer Healthcare Physical Layer Banking Physical Layer DATA Layer DATA Layer DATA Layer DATA Layer
  8. 8. Startups with “data” in their name Over 100 companies have raised over $1.4 billion 8 Source: CrunchBase, March 2015
  10. 10. 10 Shocks
  11. 11. Shocks 11 political financial military natural disaster
  12. 12. Current hazards, events 12 Source:
  13. 13. World-wide natural disaster trends 13 Source: “NAT CAT 2014: What’s Going on with the Weather?” Munich Re, January 7, 2015 Annual rate of events has more than doubled since 1980
  14. 14. Growing attention to resilience 14
  15. 15. Applications of AI … supply chain resilience 15 supply chain management Companies with large supply chains are exploring AI, which develops appropriate work orders based on an understanding of demand fluctuation. By integrating the AI into business systems, it may become possible to realize smarter, more efficient operations in a diverse range of areas More data-driven and more autonomous supply chains provides an opportunity for new levels of optimization in manufacturing, logistics, warehousing and last mile delivery.
  16. 16. 16 Constraints
  17. 17. Constraints 17 regulatory talentresources Organizational structure
  18. 18. Firms developing IoT technologies 18 Source: Peter Evans IoT Alliance Database, CGE, 2015 Companies most actively developing new products and services 3,046 companies <$1billion sales 220 companies >$1billion sales
  19. 19. 19 “Before you go to war, assemble allies” “Before you go to war, assemble allies” Art of Standards Wars Carl Shapiro and Hal R. Varian
  20. 20. Fragmented/conflicting standards 20 2016 Today 2001 2004 2007 2010 2013 Open Mobile Alliance Source: P. Evans, CGE, 2015 Internet of Things alliances
  21. 21. IoT companies by alliance 21 Source: Peter Evans IoT Alliance Database, CGE, 2016
  22. 22. Playing IoT standard’s the field 22 Source: Peter Evans IoT Alliance Database, CGE, 2016
  23. 23. 23 Enablers
  24. 24. Ideas as enablers 24 Classic economic ideas  Free market economies are always stable  Trend toward full employment & full production equilibrium  Freely fluctuating prices in three key areas ensure this outcome (goods, money and labor markets) Keynesian economic ideas  Free market economies are unstable  Equilibrium yes, but not necessarily for full employment/ full production  Demand becomes a much bigger driving force  Supply will always adjust to demand
  25. 25. Technology as enabler 25 Yahoo! Directory - 1994 - 2014Telephone switchboards, 1890 – 1960s Traffic Service Position System (TSPS) Web indexing algorithms
  26. 26. APIs enable platform data capabilities 26 Revenues Reach Engagement Innovation Integration Application Programming Interface (APIs) Definition: Standardized machine-readable digital communication interface for a system, which can be designed to have open or restricted access and be exposed both internally and externally of an organization’s network Exchange and value creation
  27. 27. 27
  28. 28. 28 API Economy: Core vs. Periphery Source: Peter Evans and Rahul Basole, with data from ProgrammableWeb, Center for Global Enterprise, 2015 Social media / web Job search / work E-commerce Tools / analytics / big data Payments API Clusters Messaging services Companies Enterprise Amazon SNS Alexa Web Inform Amazon Marketplace Amazon SimpleDB Amazon Product Advertising Amazon CloudWatch Amazon Flexible Amazon Redshift Amazon SC2 Amazon S3 Amazon Mechanical TurkAmazon RDS Amazon DynamoDB Amazon Queue Service Walmart 28
  29. 29. AI and enterprise strategy 29 Explosion of interest in articles related to “ai” and “business strategy” Number of articles focused on AI and business strategy has grown by Increase 25 a quarter in 2013 to over 150 a quarter in 2016 from 2013 to 2016 6x Source: Data and visualization from Quid, July 2016
  30. 30. AI and enterprise strategy 30 • How do alert leadership teams take advantage of AI? • Is AI similar to other computer technologies? • What types of internal resources are most needed? • What types of business processes are required? • What types of external communities/ ecosystems support competitive advantage? The search for strategic fit
  31. 31. Council of Economic Advisors report on AI 31 “The biggest worry I have about AI is that we will not have enough of it, and that we need to do more to make sure we can continue to make groundbreaking discoveries that will raise productivity growth, improving the lives of Americans and people throughout the world.” Jason Furman Chairman New York University New York, NY July 7, 2016
  32. 32. Looking ahead … strategic landscape 32 Age of Data Megatrends Natural disasters Shocks Fragmented IoT Standards Constraints Artificial Intelligence Enablers
  33. 33. Peter Evans, PhD Vice President Center for Global Enterprise H2O Open Tour New York, NY July 19, 2016 33 Business Transformation | Strategy | Large Companies | Age of AI