The document discusses emerging technologies and trends over the period of 2011-2018. It covers topics such as cloud computing, mobility, big data, artificial intelligence, internet of things, blockchain, quantum computing, and how to deal with technological change. The author analyzes these technologies and their impact on various sectors including agriculture, manufacturing, and society. Diagrams and principles are provided to illustrate key concepts within these emerging fields.

1. (The annual)
Outlook on Hot Technologies
Shahin Khan
2011-2018
@ShahinKhan
OrionX.net

2. “When things change, they’re not the same any more”
– Anonymous?
©2018 OrionX.net 2

3. Revolution
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Industrial InformationAgricultural
Agricultural Economy Manufacturing Economy
Mechanized Ag
Data Economy
Digital Mfg
Digital Farming
RevolutionEconomy
Social / Economic Model
Hunting à Farming
Planning
Family structure
Governance
Social / Economic Model
Rural à Cities
Muscle Automation - action
Climate
Jobs
Money
Social / Economic Model
Regional à Global
Brain Automation - decision
Awareness
Mistrust
Accelerated Change
Problems

4. Increased Complexity
Lagging Competence
Digital transformation
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Work
Money
Laws
Spirituality

5. Data
Extraction
–
Digitization
Processing
–
IT Systems
Interpretation
–
HPC
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6. Sources of data
6
Organizations
Systems
Things
People
Data
Extracting
Information
Content
Apps

7. Big rules of big
data
1. Data is cheaper to keep than to delete. Multiple copies, in fact.
2. Whatever caused you to collect data will cause you to collect a lot more data.
3. Big Data systems start small, show promise, go big.
4. Data must flow to be valuable. Just how valuable is a function of context.
5. Never assume that you know what is cause and what is effect.
6. The ratio of relevant data to irrelevant data will asymptotically approach zero.
7. The ultimate purpose of analysis is synthesis.
8. Time = Money = Data. There is always a context in which a piece of data is
valuable.
9. Volume-Velocity-Variety-Value, meet Irreproducible-Irrelevant-Incomplete-Incorrect.
10. Given enough data, you can simultaneously "prove" opposites.
11. Most conclusions will be either uninteresting or invalid. Big Data starts with
interesting-but-useless and graduates to valid-and-useful.
12. Big Data and HPC converge as data volume grows.
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8. ©2018 OrionX.net 8
Hot Topics

9. If you’re not feeling discomfort,
you’re not out of your comfort zone
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10. Cloud MobilityBig DataAI IoTBlockchain
Security
•••
Security
New World Order: Digital Transformation (DX)
It’s complex
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11. The FUTURE is
IoT Blockchain Quantum AI
where Machines/Bots/DAOs/Dapps
do most of the
Creating-Consuming-Paying
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12. IoT
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Event Control
Trigger Command
Insight Policy
Business Objectives
Level-0: Devices
E d g eSensors
M2M
Level-2: Intelligence C l o u dLake
Switch
Level-1.x: Local Treatment
L o c a l
Router
Gateway

13. Data Economy
IoT
Big picture
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Atoms (Things)
Bits (Information)
Data Economy
Data Sources
GovernanceApplicationsDataDevices
Data Supply Data Product
Data
Consumption
(à Market)
Security

14. If you have 200 rows, it’s a spreadsheet, but
if you have 2 billion rows, it’s HPC.
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15. The Engine of the Information Age
HPC
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Experiment
Theory
SimulationInstrumentation
Automation
Visualization
New
Way
New
Data
Communication
New
Idea
Digitization Data
STEM
IT
HPC

16. Intelligence is Computable
AI =
High
Performance AI
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Artificial Intelligence
Search
Logical
Expert SystemStatistical
Numerical
Optimization
Big Data
Simulation / HPC Automation / IoTCloud
Big Rules of
Big Data
AI

17. Blockchain is like
watching an Ingmar Bergman movie:
You know it’s important but you don’t get it
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18. Trust is computable
Blockchain =
Decentralized
trust
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Natural Scale Distributed
Need
Traceability
Rights Mgmt
BlockchainParticipation
Consensus Algorithms
Layer-2 Technologies
Token: Equity, Utility
Smart Contracts
DecentralizedCentralized
Traditional model
Tokenless

19. “But the physical world is quantum mechanical, and
therefore the proper problem is the simulation of
quantum physics”
Richard Feynman, 1981
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20. Probability functions made controllable
ª About a dozen serious efforts and many research projects
ª Major vendors, countries, startups, universities
ª Hot, and will remain hot for the next decade
ª Used as an accelerator
ª We have moved from “is it QC?” à “What can it do?”
ª Software + programmability advancing rapidly
ª Quantum supremacy, Y2Q, Quantum-safe Cryptography
Quantum
Computing
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Qubits
Probability
Functions
Annealing
Universal
QC
De-coherence
Cryogenics
Many
approaches
Lasers
Photons
Solid State
• • •
Electron Hole
Boson Sampling
Trapped Atom
Silicon
Positronics
• • •

21. Change is best when it's your own idea
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22. Dealing with change
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Celebrate
Appreciate Recalibrate
Reinvent
Desirable Undesirable
ExpectedUnexpected
Good
Great Bad
Awful
Desirable Undesirable
ExpectedUnexpected

23. Thank You!
Shahin.Khan@OrionX.net

24. To request Shahin Khan as a speaker for an upcoming event,
or to learn more about technology research topics,
contact info@OrionX.net
©2018 OrionX.net 24