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New technology - Coggle Diagram
New technology
5 emerging technologies worth investing in for 2020
Postclassical compute and communications
Post classical communications and compute cover how the underlying technologies are being deployed in entirely different ways, which is really giving us a step-change in compute and communication power
An example of this is low earth orbit (LEO) satellites. Satellites have completely changed how we are going to connect and commute globally, especially in underserved areas
Enterprises should consider postclassical compute and communications technologies if they have use cases for 5-G, next-generation memory, LEO systems, and nanoscale 3-D printing
Digital ecosystems
We've had ecosystems since businesses started, but digital ecosystems are about how digital technologies are reducing friction in business ecosystems. On top of becoming more digital and reducing friction these ecosystems are also becoming more decentralized, which will allow users to have control over their own data and reduce the power of internet giants
Examples of digital ecosystem technologies include DigitalOps, knowledge graphs, synthetic data, decentralized web, and decentralized autonomous organizations
Augmented human
Emerging technologies in this field include biochips, personification, augmented intelligence, emotion AI, immersive workspaces, and biotech
We are talking about providing people with immersive experiences. Whether this is through immersive workspaces, which allows you to work virtually from anywhere, or physical experiences like prosthetic limbs
Advanced artificial intelligence AI and analytics
AI is a pervasive trend it not only pervades the enterprise, but also all of these trends
The most significant emerging uses of AI include adaptive machine learning, edge AI, edge analytics, explained AI, AI platform as a service (PaaS), transfer learning, generative adversarial networks, and graph analytics
We are now seeing significant advances in AI algorithms, where AI is being used, and how AI is being decentralized, so that its not just strictly in the realm of giant tech companies, but are now available to end user organizations
Sensing and mobility
Sensing is enabling mobility
Organizations considering this should check their personal use cases to see if there is a need for 3D-sensing cameras, AR cloud, light-cargo delivery drones, flying autonomous vehicles, and autonomous driving - all of which are emerging under this trend
Blockchain adoption
Removes central control and power, which can be misused
Biggest benefits:
-Improved trust
-Potential new business models
-Greater security / lower risk
More equitable distribution of power between stakeholders
Current drawbacks:
-Costly to develop
-Potentially slower than traditional database
The difference between using a database that everyone contributes to and using a distributed network (blockchain) is that effectively nobody owns that blockchain ledger because you all have your own copy of it
Self-driving cars
Many major players are looking into this
What will impact be on:
-Trucking companies
-Uber drivers
-Traffic
Technology is still being developed
Old risks in new places
Typo squatting
Think before you act
Robots
Robots are widely being adopted:
-Customer assistance
-Stocking shelves
Robots are becoming cheaper
Human error
Windows 10's new update is deleting people's files again
Control : backup
3D printing
Uses:
-Rapid prototyping
-Small batch manufacturing
-Printing custom spare parts
-Printing prosthetics
-Printing buildings
-Printing biological material, e.g. potentially human organs
-Printing food, e.g. creative cakes
Deepfakes
With AI anyone's face or voice can be recreated with pin-point accuracy. The product is a deepfake, an impersonation that can be used for memes, misinformation, or porn
Gartner's hype cycle
Technology and business is ever changing