AI Caramba – Mucho Mumbo Jumbo
I’ve been writing here now for 4-5 years. And I asked Ken Sinclair what was missing. What should I write about?
“How can we turn our gibberish into something the public will read and can use to make buildings smarter? We need to better contextualize what we do, we scare them into thinking out loud by providing too many gory details, good for industry talk, but so confusing to our client. What value are we adding? They don’t care how we do it as long as we do it”
Considering that Automatedbuildings.com readers are mostly integrators (maybe?), I guess the best way to help the end customer is to write guides, use cases, possibly quizzes, or what to think of the aspects. I did this a few years ago which might come in handy when buying Digital Twins.
And earlier today, there was a need for use cases on Linkedin that my response was a lot of gibberish and buzzy bingo.
“I would like to know more about this, because our next step will be mainly on explainable AI, through strategies of reality gamification and the evolution towards a native information sharing architecture, in time real and graph-based, which can scale in an interoperable way.. Is not limited to seamless information sharing for systems, but more akin to a socio-technological symbiosis where the goal is to create at the speed of thought.
Lots of buzzwords out there. But yeah, we only started with incremental learning, decision trees, and random forest initiatives. The plan is to get closer to multi-agent systems and agent-based modeling and tie that with a virtual first mindset of operating on an emulated reality to do simulations that can help us take better decisions, faster. In addition to knowledge transfer between people in the same domain, as well as different domains, the use of digital reality pairing as boundary-spanning object(s) to fully capture, store, exploit and extend knowledge in the space and in time.
The library of compelling use cases is really interesting because it’s not just about ingredients, it’s not just about recipes. But also, the granular aspects of how to describe context. Lots to unpack here…”
To respond to the past, we must be able to speak to the old standards as well as to the elderly. To get to the present, we need to convert that knowledge from old standards, potentially to new standards, and also how to teach new people old/new tricks and address the skill gap issue.
But what about the future?
This is the part where I am continually mesmerized by the myopic attitude of almost everyone in any industry. If we are to meet the needs of the future, we also need to use advanced tools in our arsenal right now that might be in the realm of “science fiction”. The reason is that ALL future use cases will be built on the tools, technologies, processes and people of the future.
Can single text mediums hit home? Are property owners reading this or end users? How is the readership under 40? 30 years?
I struggle with the fact that sometimes I feel like there is nothing more to say because everything remains to be said.
With extreme climate change, we need extreme collaboration. And it becomes clear that we need to make the right decisions as soon as possible.
We have to fix a broken world. But how? How can we not only make people listen, but also understand and act, instead of the usual passive notion of making someone react?
almost 4 years ago I wrote this article on issues with open APIs and the need for semantic interoperability. It contains good things such as:
The handshake problem with the API economy
A set of shared values is key
Artificial intelligence and machine learning require more than a handshake
And at the end, I try to explain that taxonomies are a good way to solve interoperability issues. I even believe that it is the only solution. But I don’t think so. That’s part of it. But there is the realm of standards and technological gibberish. And then there’s the part where humans and people are involved. Going back to Ken’s original question, obviously a lot of conversations are only for people in the field they’re in. Cross-domain conversations rarely happen, and if they do happen, no one is really interested in anything other than their own side of things.
How can we make people more interested in how we could improve their lives? Silver. Use visual working methods. Create use cases that anyone could understand. Help people get started easier and provide easy ways to do it.
I’ll be speaking at the Haystack Connect conference in a few weeks and hopefully I can show something interesting about reality gamification.
But above all, people need to be shown what could be in their reality. Most don’t care about anyone else and they think they are unique. They are, in the sense that it’s the same as everything else, just different.
The reality that will be recorded must be recorded so that the future can natively consume and expand it. 2D is not enough. We haven’t evolved for billions of years to click glass screens and consume 2D information. Everything should be at least 3D and easily consumable for large-scale VR/AR and XR approaches. Only then can we capture the reality that customers find themselves in and invite them to innovate at scale.
So maybe I’ll try to get Ken to turn the recommendations into use cases and native models for the VR aspects. And turn the BAS story into an NFT that people can access forever and pay dividends to creators forever too.
I’m not sure there is one (for once?). I’m busy creating the future now in many areas because I don’t think change is happening fast enough. I try to summarize everything everyone has taught me over the past 5 years and create understandable recipes for change that can stand the test of time.
My idea is to leverage the metaverse to enhance reality, not just to escape it. And also combine it with digital pairing, AR/VR/XR native interfaces and taxonomy and ontology based foundations coupled with event driven architecture and graph based working methods. All delivered in an intuitive interface used by the gaming community. We have now created state-of-the-art self-learning native digital twins and this is just the beginning. The acceleration of benefit realization in any area is quite exponential in the sense that this whole knowledge transfer aspect can be sorted in 30 minutes instead of 30 days. And the integration aspects also in a day instead of a month. Etc.
Processes, people, culture, systems, hierarchy as well as context play a huge role in this. And ALL must fit together well.
How do I know all this? Because it’s my job to know what the future will hold in a week, a month, a year. What if you wanted to create the future before everyone else? Contact me and we’ll make it happen!
CEO, Founder and Digital Twin Specialist at WINNIIO Consulting
Nicolas Waern is the CEO, Strategy and Innovation Leader and Digital Twin Implementation Specialist at the consulting firm WINNIIO. He strongly believes that the real estate industry needs to focus more on the lifecycle where we need to go beyond buildings and come back with an understanding of the tools and technology we could use. And to solve the tasks at hand, together, with an open mind.
Nicolas works with leaders from multiple industries to understand how they can succeed in the age of AI. Predicting what the world will be doing in a week, a month, a year and making the best use of strategies and solutions that stand the test of time. It does this through an on-demand scanning approach for anyone who needs to change before they have to.
Nicolas is also a creator of podcasts and editor of newsletters for Beyond buildings
Thought leader on smart buildings and building automation for Automated buildings
Speaker and influencer Event streaming platforms as the holy grail for Industry 4.0 applications
Subject Matter Expert Real Estate Digitization Proptech Digitization Expert
Active member of the Digital Twin working groups Digital Twin Subject Matter Expert
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