Emerging Technology Landscape:
The world is becoming an increasingly intelligent, digitally-enabled mesh of people, things and services. Technology is embedded into virtually everything, creating a digitally enhanced world and a future where people will enjoy a “digital omniscience,” contributing to safer, smarter, more productive lives and businesses.Read more
Most of the early work being conducted in this space is with intelligent applications that use centralized or cloud based deep machine learning, neural network and other computer science approaches generally referred to as artificial intelligence (“AI”). Ever more powerful smart phones and other devices now also offer the ability to run distributed artificial intelligence applications. Components of this work will be offered as micro-services to make apps, services, and things more intelligent. Ultimately, the industry will reach pockets of “digital awareness” that allows for models as a service which extend across ecosystems of applications. Gartner calls this amalgamation of people, devices, content and services the Intelligent Digital Mesh, forming the basis for their Top Strategic Technology Trends.
AI and machine learning have reached a critical tipping point in development and usage. They will increasingly augment and extend virtually every technology-enabled service, thing or application to create intelligent systems that learn, adapt and potentially act autonomously rather than simply execute predefined instructions. Kevin Kelly puts it nicely in his book The Inevitable: “Now everything that we formerly electrified we will cognify.”
The digital world continues to be an increasingly detailed reflection (or “twin”) of the physical world, creating fertile ground for new business models and digitally enabled ecosystems. Parag Khanna in his book Connectography writes, “In the beginning, the Internet was a place to which we went; now it is a space where we are…”
The mesh refers to intelligent digital ecosystems that support the dynamic connection of people, processes, things and services. As the mesh matures, users will experience extrasensory awareness generated by hard and soft sensors interpreting data from hundreds of millions of “nodes”.
Sfara has developed artificial intelligence and machine learning technology that interprets a person’s surroundings by harvesting a smart device’s powerful sensing capabilities. This creates a situational awareness that we transform into a sphere of safety. Sfara turns smartphones into nodes of the intelligent digital mesh which are aware, inferring and proactively providing insights and feedback which ultimately gives the user unprecedented safety senses and protection.Read more
Sfara performs sensor fusion of the accelerometer, gyroscope, magnetometer, GPS and more. This information is processed by a patented approach that integrates machine learning, signal processing and fundamental science by following a two-step process: First, data collection at scale, in time and space, for events and contextual data. Second, advanced modeling of those events by applying a mix of supervised and semi-supervised machine learning techniques.
In addition to the hard sensor data of the smart device, we are now beginning to augment our AI with soft sensor data from a variety of sources. This allows our solution to create awareness outside of the hard sensors or even the user’s envelope of understanding. Ultimately, the user’s perception of reality is augmented through our application which becomes a Personal Digital Assistant. Through voice alerts, chimes and displays the user is afforded an extra sensory perception of their immediate environment or one into which they are headed.
Sfara accomplishes all of this with minimal resource footprint on the device. Our engineering and data science experts applied advanced software design and development principles to efficiently drive sfara. Sfara minimizes battery and data usage, while also enhancing privacy through native device processing instead of collecting and sending all data to a centralized cloud beyond the users control.
Through sfara’s artificial intelligence, we create a living software model of a person or thing, otherwise known as a “digital twin.” Sfara’s AI also creates a representation of the condition within the digital twin’s sphere of safety. Through this technique sfara will create twins for users, things and geographies.Read more
In the near future, we will begin interconnecting these “spheres of safety”. By doing so, the situational awareness will be elevated to a substantially higher dimension of artificial intelligence. This will allow us to move from individual artificially intelligent twins, to providing a comprehensive “Digital Safety Awareness” (DSA).
This DSA embodies the essence of deep machine learning. By accessing the individual twins and their AI, the DSA will have an unparalleled perspective, which will allow for unsupervised processing, feature extraction and transformation. This will allow the DSA to create multiple levels of correlation that correspond to different levels of extraction and ultimately a hierarchy of abstracts. By applying an additional layer of AI on top of these abstracts, the DSA will achieve a level of awareness not possible by purely human sensory inputs.
The sfara DSA will be developed into a Model as a Service (MaaS) that can be used to provide deep awareness to a multitude of third-party applications or things. For example, by providing the DSA MaaS to Autonomous Vehicle developers, it will allow the vehicle to extend its hazard avoidance capabilities beyond the vehicle’s or its human occupant’s “line of sight,” creating a first of its kind level of protection.
Ultimately, the DSA MaaS can be visualized or shared to compliment many other emerging virtual or physical systems.
Sfara Market Potential:
Apps, Microservices & MaaS
As a result of Sfara’s data science and engineering, our solutions are not encumbered by hardware or communication networks, allowing us to deploy at any scale, virtually anywhere in the world. We currently have applications and microservices that are actively used in 17 countries. This has even allowed us to start exploring next-level inferences that have geographic and cultural sensitivities.Read more
Leading industry experts predict that within the next half decade, hundreds of millions of things will have digital twins. They will be used to operate factories, plan for equipment servicing, aid new product development, and to augment mobile applications, to name a just a few possibilities.
From an enterprise perspective, benefits of this technological innovation include intelligent automation, labor and capital augmentation and innovation diffusion. By some estimates, GDP may benefit more than 30% ($8.3T) by 2035 with absorption of AI into the economy.
In this new world, these complicated physical and virtual systems will undoubtedly need to make human and self-preservation a priority and that’s where sfara will be ready with the most innovative applications, micro-services and our DSA MaaS.