One of the bigger trends in 2019 will be tied to Digital Twins… but why? Here is a full video breakdown.
WHAT ARE DIGITAL TWINS
A digital twin refers to a digital replica or model of a physical asset (physical twin), processes, people, places, systems and devices that can be used for various purposes such as simulation of performance.
So It’s Primarily For FACTORIES COOL? WHY SHOULD I CARE?
The primary use cases are tied to Industrial IOT scenarios.The Digital Twin serves as a bridge between physical and digital. The physical asset has IOT sensors that constantly collect various forms of data and feed the information to the digital twin to analyze and run predictive simulations. The findings from the virtual models can then be applied to the physical asset.
MY HYPOTHESIS – APPLICATION TO CONSUMERS
There is a possible connection to consumer experience use cases tied to physical sensor data and virtual assistant proxy simulations.
What’s going to enable the use of consumer experience digital twin experiences at scale will be 5G connectivity. 5G will fuel connection of IOT frameworks as well as edge computing to reduce potential latency and the ability to process information as close to the source as possible.
This will allow connectivity and enhanced data transfer capabilities of the 20 billion IOT devices that exist today.
ROLE OF THE PROXY WEB
2019 will also see the accelerated adoption and dependence on virtual assistants. There are now over 1 billion devices that provide voice assistant access today.
90 Million use voice assistants on smartphones and 45 million use them on smart speakers per month.
Digital assistants are an on ramp to further usage of AI and robotics. As virtual assistants move towards the center of the operating experience we will continue to move towards what I call, the Proxy Web.
This is where our virtual assistants begin managing certain aspects of our lives behind the scenes.
Our proxy will be able to communicate with other proxies and align preferences to map where to eat for dinner with a friend, it knows our food preferences and schedule.
This preference ownership and ability to communicate with other proxies and nodes in systems could be the key to unlocking spatial computing simulation at scale.
DYNAMIC SPATIAL COMPUTING EXPERIENCES
One of the key areas of focus in 2019 will be the further melding of physical and digital experiences. We have seen the rapid democratization of various forms of spatial computing.
Spatial Computing is using the physical space around us as a medium to interact with technology.
This includes AR, VR, Mixed Reality, Hyper Reality and more. The goal with my digital twin hypothesis is to not only deliver a one size fits all experience but creating personalization at scale through spatial computing.
Digital Twin type simulations may be the key to connect custom reality overlays based on preferences driven by our virtual assistants.
IDEA in Action…
I am a Star Wars fan…. the retailer Target normally goes big with Star Wars in-store promotions when there is a major film release. With the digital twin simulation concept, based on my personal preferences, my virtual assistant knows that I have a strong affinity for Star Wars based on my behavior, this includes voice queries, watching Star Wars Theory videos via YouTube, my past purchases of Funko Pops,etc…
Instead of plastering the store with physical Star Wars promotional material, Target could have pre-mapped various spatial computing “experiences” that are triggered based preferences discoverable via my virtual assistant.
An in-store sensor network could feed previous trip information of me and other guests with a similar affinity and allow for the Star Wars focused simulation to be adjusted in real-time to get me to a specific area of the store or special offers on say retail specific Funko Pops.
The Digital Twin becomes the intelligence engine to enhance the base physical store experience and create a personalized experience based on predictive digital simulation.
The ultimate goal being to have the environment and experience personalized to me based on multiple simulations and a connection to my preferences.
Questions? Tweet to Tom Edwards @BlackFin360