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Top 10 Technology Predictions - Future Outlook for AI and DLT

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Top 10 Technology Predictions - Future Outlook for AI and DLT

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Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.

Artificial Intelligence and Distributed Ledger Technology are the current hot topics on the innovation agenda. In our future outlook for 2019 and beyond, we made 10 bold predictions for the upcoming development of these two key technologies.

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Top 10 Technology Predictions - Future Outlook for AI and DLT

  1. 1. TECHNOLOGY PREDICTIONS FUTURE OUTLOOK FOR AI AND DLT TOP 10
  2. 2. 2 THE ELEPHANT IN THE ROOM After mobile, social and search the next two decades will be characterized by Artificial Intelligence (AI) and Distributed Ledger Technology (DLT). 1
  3. 3. 3 TIME IS RUNNING Broad productive mainstream adoption of AI will start from 2022, while DLT will go mass market somewhere between 2025 and 2027. 2
  4. 4. 4 DAVID VS. AMAZON The next emerging big players will be networks with multiple reinforcing business models along the supply chain (Amazon is a prototype). 3
  5. 5. 5 PLEASE HIDE THE CODE User experience is key to mass adoption of new technologies. User Interfaces for AI and DLT will evolve to work productively with digital twins and include AR/VR and voice control.4
  6. 6. 6 WTF? Three new KPIs will emerge: ▪ DRC = data readiness costs ▪ NTC = network transaction costs ▪ REQ = robot employee quotient 5
  7. 7. 7 RPA EATS YOUR JOB FOR BREAKFAST Intelligent robotic process automation (RPA) will have substituted the majority of low-cognitive skill jobs by 2030. RPA will additionally support almost all human employees in enterprise functions such as accounting, procurement, compliance, HR and legal. 6
  8. 8. 8 TEST, TEST, D-L-T Distributed ledger technology will become an integral part of industries characterized by: ▪ Asset-light business models (mobility, travel) ▪ Digital asset exchange (music, advertising) ▪ Trade networks with razor-thin margins (energy, banking) ▪ Identity and compliance issues (insurance, government) 7
  9. 9. 9 ROUND ONE – FIGHT!? The U.S. players will win domains, where technical AI problems and improvements of the core algorithms dominate. (reasoning, multitasking, transfer learning) Chinese companies will win domains, where it’s about implementation, smart infrastructure or policy adoption. (robotics, medical diagnosis, person tracking, behavior-based services) 8
  10. 10. 10 BIG DATA IS SO 2014… AI will gain the highest benefits in industries with easy accessible high volumes of processable, unique data, contextually captured through: ▪ IoT sensor networks (industrial IoT, robotics, smart home) ▪ Digitization of standard forms (logistics, insurance, retail) ▪ Direct digital transactions (FinTech, e-commerce, travel) 9
  11. 11. 11 STAY HUNGRY, STAY FOOLISH Today‘s AI movement is all about processable data volume, the next wave starting from 2025 will focus on efficient data models and data quality. This gives newcomers a chance to disrupt the existing data “coal mines“ (Facebook, Google etc.).10
  12. 12. 12Disclaimer: All information presented were prepared by Appanion with great care. For the presented opinions and predictions Appanion cannot assume any warranty of any kind. Appanion is not liable for any damage arising from the use of information and opinions provided in this publication. Appanion Labs GmbH ▪ Hopfenstrasse 11 ▪ 20359 Hamburg ▪ www.appanion.com

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