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Critical Technologies of the Future


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Information revolution is changing everything. Here is a snapshot of some critical technologies that are changing the world: IoT, Blockchain, Quantum Computing, AI, Cybersecurity, 5G,... resting on a foundation of Mobility, Cloud, and HPC.
This talk has evolved since 2011. Most recently, it was presented at the HPC-AI Advisory Council conference held at Stanford University in Feb-2018. A video of the talk is available on
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Published in: Technology

Critical Technologies of the Future

  1. 1. (The annual) Outlook on Hot Technologies Shahin Khan 2011-2018 @ShahinKhan
  2. 2. “When things change, they’re not the same any more” – Anonymous? ©2018 2
  3. 3. Revolution ©2018 3 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. 4. Increased Complexity Lagging Competence Digital transformation ©2018 4 Work Money Laws Spirituality
  5. 5. Data Extraction – Digitization Processing – IT Systems Interpretation – HPC ©2018 5
  6. 6. Sources of data 6 Organizations Systems Things People Data Extracting Information Content Apps
  7. 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. ©2018 7
  8. 8. ©2018 8 Hot Topics
  9. 9. If you’re not feeling discomfort, you’re not out of your comfort zone ©2018 9
  10. 10. Cloud MobilityBig DataAI IoTBlockchain Security ••• Security New World Order: Digital Transformation (DX) It’s complex ©2018 10
  11. 11. The FUTURE is IoT Blockchain Quantum AI where Machines/Bots/DAOs/Dapps do most of the Creating-Consuming-Paying ©2018 11
  12. 12. IoT ©2017 12 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. 13. Data Economy IoT Big picture ©2018 13 Atoms (Things) Bits (Information) Data Economy Data Sources GovernanceApplicationsDataDevices Data Supply Data Product Data Consumption (à Market) Security
  14. 14. If you have 200 rows, it’s a spreadsheet, but if you have 2 billion rows, it’s HPC. ©2018 14
  15. 15. The Engine of the Information Age HPC ©2018 15 Experiment Theory SimulationInstrumentation Automation Visualization New Way New Data Communication New Idea Digitization Data STEM IT HPC
  16. 16. Intelligence is Computable AI = High Performance AI ©2018 16 Artificial Intelligence Search Logical Expert SystemStatistical Numerical Optimization Big Data Simulation / HPC Automation / IoTCloud Big Rules of Big Data AI
  17. 17. Blockchain is like watching an Ingmar Bergman movie: You know it’s important but you don’t get it ©2018 17
  18. 18. Trust is computable Blockchain = Decentralized trust ©2018 18 Natural Scale Distributed Need Traceability Rights Mgmt BlockchainParticipation Consensus Algorithms Layer-2 Technologies Token: Equity, Utility Smart Contracts DecentralizedCentralized Traditional model Tokenless
  19. 19. “But the physical world is quantum mechanical, and therefore the proper problem is the simulation of quantum physics” Richard Feynman, 1981 ©2018 19
  20. 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 ©2018 20 Qubits Probability Functions Annealing Universal QC De-coherence Cryogenics Many approaches Lasers Photons Solid State • • • Electron Hole Boson Sampling Trapped Atom Silicon Positronics • • •
  21. 21. Change is best when it's your own idea ©2018 21
  22. 22. Dealing with change ©2018 22 Celebrate Appreciate Recalibrate Reinvent Desirable Undesirable ExpectedUnexpected Good Great Bad Awful Desirable Undesirable ExpectedUnexpected
  23. 23. Thank You!
  24. 24. To request Shahin Khan as a speaker for an upcoming event, or to learn more about technology research topics, contact ©2018 24