Big Data is not a business model. It’s not been selling well to the C suite. It’s changing our world every day, but in ways not fully understood. Big Data is creating repositories by companies for companies that often don’t place value on it, discard it, destroy it, don’t validate it, or share it. It’s being used by agencies the world over like our own NSA in ways we don’t fully understand and often don’t produce results. The sad truth of big data is this. Once someone asks for specific data, then someone wakes up and says; “Oh, it’s worth something, hold it hostage”.
Systems are being built all over the world and into our underwear without so much as a paper napkin plan for how it will all interact. Privacy is wicking away due to the lack of such plans, and value to humanity is lost as well. New technologies are creeping up serving companies that may or may not be here one day with information models that are designed and implemented ad hoc. Some units are simply so resource constrained they are broadcast only. Others are left wide open with no security. Validation is just starting to be a topic of conversation while schema’s and models are only for the most ardent geeks who are not given enough time to properly design in our new lean startup models. It’s time to discuss how we plan to explore all this data, and how it will be used to the benefit of humanity not just corporations. We may be calling this the Great Schema Wars. Maybe the Bill & Melinda Gates Foundation will want to support this effort.
There is a business model in convergence. Truly autonomous driving cars are one recent example. While not a perfect example, it is a good one to explore. There are thousands of documents extolling the virtues of self driving anything. From cars, to ships. All of them have human oversight in the end, and that’s an important fact. All of them espouse the value of safety while reducing the amount of human labor required. Everything about these designs scream big data. So, why worry about changing what will be one of the most significant innovations of this century? Simple. It’s not complete, and in fact it’s broken. We need to have a design in model. A new model where the endpoints are the focus. Turn it inside out!
In my two previous posts, 3 vectors of big data, and 4 quadrants of bid data, I make the case we must change the game to measure and value data. Creating new data models that push both creation and consumption to the end points. Creating measurement systems that align where a business model sits on the chart via the 3 axis design. Building virtual landscapes that correspond to our physical reality is a future of great opportunities. Augmenting these realities with simulations will expand our utility and value into the time domain. It’s a brave new world that requires a brave new standard. Something like an open standard for computing that built the Internet.
I propose a new open standard that has to instruct and guide ecosystems around these core ideals. Develop best practices aligning technology to this inverse world of utility and information. Create environments that strive to form abstractions of themselves, presenting it to a focus avatar that observe, process or transmit the context, while allowing advanced simulations to be created or shared. Only by pushing these types of models out to the end points and across the world of IoT, (the internet of things) can machines, people and systems can interact across a virtual landscape opening up options for new commerce and quality of life. While it sounds like a utopia that is complex and orwellian, it’s the exact opposite in many ways.
This proposed model must be open and cooperative. Security, data, and the ability to move through these landscapes is open with endpoints controlling access and information. Central systems are only used when required to create value. Pushing this method of development will create systems that are too computationally expensive for many if not all to contain in on central processing model, secure, or obfuscate. Are there risks? Yes. Is this an insanely hard vision? Yes. Can it be done? Absolutely.
If there are autonomous avatars, that are provided by a central authority, then it’s an order of magnitude easier for someone to accumulate them and watch them. It’s a magnitude harder to infer the same from self authorised and encrypted avatars who move through an equally self authorised and encrypted digital landscape. Security and the act of being surveilled is already out of the bag and this model is not built expecility to solve that issue directly. But it can. I simply suggest that properly implemented, it will address and re-address the issue with ever more complexity that works directly against the current state of the state. Ok, so how does this apply to self driving cars?
Simple. Self driving cars are currently loaded down with observational systems that build it’s perception of reality on the fly. It is a central point of failure and control in many ways. Compromise a self driving car, and it can go anywhere and do anything the controller wants. Hacks on self driving systems will turn out to be one of the worst kind of problems in our future. I don’t need to illustrate what the mind can imagine here, but I can suggest that if people have self identifying clothing, at least the car would know to stop when it sees them. Now, what if the environment is an interactive virtual landscape to the self driving car. More vendors and companies collaborate over this proposed standard bringing a virtual reality landscapes into existence. Using open source tools and information models, the self driving car designs of today yield to a far more robust models. A model where it’s core operation demands are distributed, and redundantly verified across a sea of nodes that feed it’s awareness. As these abstractions interact with the car, it can choose to process locally or be used as a gateway to central big data processing Abstractions that are informing it are combined with with advanced simulation scenarios created with the same model and possibly same virtual landscape. Scenarios can be pre-tested through the physical landscape while the vehicle is traversing the same in zero-latency. This shift would inherently deter hacks and risks in the system while increasing diversity and resilience in the systems.
The world is changing exponentially. More and more we see things evolve in ways that outstrip vertical solutions and delivery models. But like the Internet itself, if we can set up a roadmap and design that allows for the world to interact, the future will align as the Internet did. I publishes these writings with the hope others will engage me in this thought experiment and work to create such a framework. Autonomous convergence is too large a problem for anyone to solve, but it’s the perfect one for everyone to own. How you make money, is how we make money on the internet today.
Let’s start a new open standard and method for Autonomous convergence over virtual landscapes and enhance our future!