See the video that goes with this presentation at http://www.youtube.com/watch?v=jEExtuWrRtk . Scientific studies now show that major earthquakes are not only followed by aftershocks. In most cases, they also are preceded by foreshocks. In the terrain of business technology, such developments as Cloud Computing, Mobile Commerce, Social Media, and Big Data are rightly regarded as seismic events. But, as earth-shaking as these technologies appear, they are just the foreshocks. The Big One is coming, and it’s coming soon. Intelligent Systems for Data, Discovery, and Decision Management will utterly transform business, commerce, and society. Self-optimizing production scheduling, autonomic supply chains, and self-configuring business ecosystems are just a few examples of Intelligent Systems that will shake the world. But, you don’t have to be caught unprepared. Jack Shaw, industry executive, consultant, and author of three books on business, technology, and e-Commerce, has been accurately predicting advance s in business technology for over thirty years. Join us as he explains intelligent systems and what your organizations must do now, and can do to plan for the future, to take full advantage of the most dynamic, breathtaking set of business technologies yet.

1. Bracing for the Big One:
B2B Systems and
Processes That Think for
Themselves
Game Plan B2B eCommerce Forum
29 October 2013
Berlin
Jack Shaw (@jackshaw)

2. Mobile phones vs. toothbrushes
• There are 7 billion people in the world.
• 4 billion use mobile phones.
• Just 3.5 billion own toothbrushes.
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3. Multi-channel vs. Omni-channel
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4. New Roles for Physical Outlets
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5. Inventory Visibility
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6. Deeper Collaboration
Across the Supply Chain
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7. Omni-channel Implications
for the Supply Chain I
• Supply chains that generate increased
buyer value are likely to win in the long run.
More transparency is likely to speed up this
process
• With Omni-channel e-Commerce,
competition will increase on many fronts,
but so will the opportunities for savvy
suppliers and their supply-chain partners to
gain competitive advantage.
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8. Personnel Processes Systems
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9. B2B Use of Social Media
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10. Big Data
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11. Seismic Events
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12. The First Four Waves of
Business Technology
Mainframe
PC
Client/Server
Internet
60s – 70s
80s
90s
2000s
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13. Each Wave of
Business Technology
• Requires deployment of a critical mass of
its predecessor wave to achieve rapid growth
and broad acceptance.
• Introduces new:
–
–
–
–
Concepts
Terminology
Opportunities
Concerns
• Has an exponentially greater impact on
business and society than its predecessor.
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14. The Fifth Wave
Mainframe
PC
Client/Server
Internet
60s – 70s
80s
90s
2000s
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Intelligent Systems
2010s

15. Decision Management
Decision Management (DM) is a systematic approach to automate
and improve decisions across the enterprise.
It allows businesses to:
Make more profitable In the same way, over While being able to
and targeted
and over again
adapt “on-the-fly”
decisions
PRECISION
CONSISTENCY
AGILITY
FAST
LOW COST
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16. Beyond “Big Data”
• “Big Data” is retrospective.
– Looking at historical data for trends
– Big Data systems designed for:
•
•
•
•
Occasional
Low volume
Manual use
Trained experts
• Decision Management is forward looking.
–
–
–
–
–
Continuous
Real-time
High Volume
Operational decisions
Existing staff
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17. DM and Intelligent Systems
• Implementing DM means
automating (some) decisions, BUT
• Gaining the full benefits of DM means
automating many decisions.
• While some decisions can be automated using
just simple, “If, Then, Else” program logic,
• Many more decisions can be automated by
using intelligent systems technologies.
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18. Intelligent Systems Can Accelerate
B2B Decision-making
Think, Decide, Act
to solve a Business
Problem
Machine
Learning
Associative
Memory
Learns
Continually
Processing
Intelligent Systems
Must be
processed
Generates
Business
Infrastructure
Provides
Input
Big Data
©2012-13 VELOXITI, Inc.
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Natural
Language
Processing

19. Dynamic Pricing
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20. Mobile Commerce
Advertising Placement – On the Fly
AdTheorent's
Real Time Learning Machine (RTLM)

21. AdTheorent's RTLM
1: Ad Request
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22. AdTheorent's RTLM
2: Audience Data Enrichment
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23. AdTheorent's RTLM
3: Percent Chance of Conversion
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24. AdTheorent's RTLM
4: Brand Interaction
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25. AdTheorent's RTLM
5: RT Database Updates
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26. To Adapt To The Empowered Customer, Companies
Must Address All Their Supply Chain Processes
•Manage Raw
Materials
•Analyze & Respond
to Customer Demands
•Plan Supplier Network
& Inventory Needs
•Plan & Manage
Inbound Logistics
•Manufacture
Goods &
Manage Orders
•Measure
•Plan & Manage
Performance Outbound Logistics
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27. The Intelligent Supply &
Demand Chain
Intelligent Systems Recommend Optimal
Flow, Actions, Timing & Measures
2
Real-Time Data
1
3
Dynamic ERP Systems
Execute Operational
Transactions
4
Regional
Storage
Manufacture
Inbound
Trans
Finished
Goods
Outbound
Trans
Custom
Pkg
Retailer
DC
Retailer
Trans
Cross
Docking
Store
Trans
Retail
Store
Information and Product Flows Matched to Consumption
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Consumer

28. Global Autonomous
Supply Chains
• Autonomous Processes
• Autonomous Enterprises™
• Autonomous Supply Chains
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29. Self-Configuring
Business Ecosystems
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30. Change & Progress
“Change does not
necessarily
assure progress,
but progress
implacably
requires change.”
Historian Henry Steele Commager
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31. Follow Up
•Jack Shaw, President
Breakthrough Business Technologies
•M: 770-910-5969
• Jack@e-com.com
• www.e-com.com
• www.gplus.to/JackShaw
• www.Twitter.com/JackShaw
• www.YouTube.com/user/JackShaw4728
• www.facebook.com/JackShawTechnology
• www.LinkedIn.com/in/JackShawTechnology
• www.BusinessTechnologyFuturist.WordPress.com
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