After almost a quarter of a century of “being digital” where are our organizations? Why do we still need the consulting firms of the world to publish manifestos and howtos about “organizing for a digital world” or “the case for digital reinvention”? Is there a digital divide in the C suite? Will startups really disrupt incumbents? Do you have FOMO? Did it really take 25 years to get from “New Information and Communications Technologies” to ICT, to IT… can we agree just on the “T” now? Or do we call it Innovation? Free advice: it will not worked out as planned. This session will hopefully provide as many answers as questions and the speaker sure hopes to make it as entertaining as though provoking.
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
From atoms to bits (and back again)
1. From Atoms to Bits
(and back again)
Thinking Digital
Sylvain Carle
http://realventures.com
2. Where I'm Coming From
• Interactive and Internet developer from 1995
• Tech lead, project manager for clients 1997 to 2001
• CTO and co-founder of 5 startups 2001 to 2012
• Consulting in between startups while bootstrapping
• Senior Developer Advocate @Twitter 2012 t0 2014
• General Manager at FounderFuel 2014 to 2017
• Partner at Real Venture since 2014 to …
3. A VC is really a pragmatic futurist
https://realventures.com/equipe/?lang=fr
4. esprit numérique
Sylvain Carle
Forum RIDEAU
Février 2018https://www.smithsonianmag.com/science-nature/before-the-jetsons-arthur-radebaugh-illustrated-the-future-122729342/
5. Views from the Future
The Future: History that Hasn’t Happened Yet.
Bruce Sterling, SXSW 2017
We drive into the future using only our rearview mirror.
Marshall McLuhan, 1967
Who controls the past controls the future.
Who controls the present controls the past.
Georges Orwell, 1984
The future is already here – it's just not evenly distributed.
William Gibson, 2003
8. Bits and Atoms and Being Digital
Date: 1.1.95
From: <nicholas@media.mit.edu>
The distribution and movement of bits is much easier than atoms.
But delivery is only part of the issue. A media company is, among other things, a
talent scout, and its distribution channels, bits or atoms, provide a test bed for public
opinion. But after a certain point, the author may not need this forum. In the digital
age, WIRED authors can sell their stories direct and make more money, once they
are discovered.
While this does not work today, it will work very well, very soon - when
"being digital" becomes the norm.
http://web.media.mit.edu/~nicholas/Wired/WIRED3-01.html
9. Digital manifestos, digital divide in the C Suite?
• Bottom up vs top down approach
• Framing PoC or Trials setup, operations and metrics/data
• Vitamin or Pain Killer? Do you have a burning platform?
11. The Internet is providing the fabric on which the Information
age is built and provides the network infrastructure to turn
software into massively scalable platforms, whether
centralized or decentralized (blockchain) enabling new services,
products, experiences and business models;
Mobility is enabling 3 billion people to interact with their
information and with each other anywhere at anytime and;
Connectivity added to other devices such as TVs, watches,
cars, drones, clothes, robots, homes, AR/VR head mounted
displays offers new ways to interact with and experience the
world’s information;
Continued improvements in Computing efficiency for
different types of workloads whether in the cloud or at the edge
is enabling new platforms and applications to emerge such as
robotics, VR/AR, AI, blockchain, smart devices, etc.
The storage, usage and display (UI) of Big Data we and our
businesses generate enable faster, more impactful, data driven
decisions.
The digital revolution is now disrupting all aspects
of society including retail, transportation, education,
healthcare, financial services, work, real estate, energy,
government, human communication, manufacturing, genomics,
nanotechnology, etc.
The digital (r)evolution is in every sector
12. The Internet is providing the fabric on which the Information
age is built and provides the network infrastructure to turn
software into massively scalable platforms, whether
centralized or decentralized (blockchain) enabling new services,
products, experiences and business models;
Mobility is enabling 3 billion people to interact with their
information and with each other anywhere at anytime and;
Connectivity added to other devices such as TVs, watches,
cars, drones, clothes, robots, homes, AR/VR head mounted
displays offers new ways to interact with and experience the
world’s information;
Continued improvements in Computing efficiency for
different types of workloads whether in the cloud or at the edge
is enabling new platforms and applications to emerge such as
robotics, VR/AR, AI, blockchain, smart devices, etc.
The storage, usage and display (UI) of Big Data we and our
businesses generate enable faster, more impactful, data driven
decisions.
The digital revolution is now disrupting all aspects
of society including retail, transportation, education,
healthcare, financial services, work, real estate, energy,
government, human communication, manufacturing, genomics,
nanotechnology, etc.
The digital (r)evolution is in every sector
13. A I
D ATA U I
CO N N ECT I V I T YM O B I L E
I N T E R N E T
S O F T WA R E
2 0 0 8 2 01 1 2 01 4 2 01 7
Evolution of the stack
18. From IRL to the internet… and back.
First we digitize everything to put it on the network.
Next, we put digital and the network in everything.
From physical to virtual,
to augmented and networked.
21. 1. La capacité d’accumulation (collecte, entreposage)
2. La rétrospective (voir, comprendre ce qui s’est passé)
3. L’analyse des signaux en temps réel (aggrégation et alertes)
4. Pouvoir émettre des recommendations (données et actions passées)
5. Capacité de prédictions (avec haut degré de certitude)
6. Prescription et automatisation (pur numérique et instrumentation)
Le modèle de maturité des données massives (big data)
Inspiré de https://en.wikipedia.org/wiki/Capability_Maturity_Model
22. 1. La capacité d’accumulation (collecte, entreposage)
2. La rétrospective (voir, comprendre ce qui s’est passé)
3. L’analyse des signaux en temps réel (aggrégation et alertes)
4. Pouvoir émettre des recommendations (données et actions passées)
5. Capacité de prédictions (avec haut degré de certitude)
6. Prescription et automatisation (pur numérique et instrumentation)
Domaines d’applications émergentes de l’intelligence artificielle
Le modèle de maturité des données massives (big data)
23. 1. IA générale (AGI) vs IA appliquée (narrow, specialized)
2. La définition de l’IA change tout le temps…
“John McCarthy, who invented the name Artificial Intelligence, noted, the
definition of specialized AI is changing all of the time. Specifically, once a task
formerly thought to characterize artificial intelligence becomes routine
— like the aforementioned chess-playing, or Go, or a myriad of other taken-for-
granted computer abilities — we no longer call it artificial intelligence.”
3. IA comme “intelligence augmentée”
Le contexte actuel pour de l’intelligence artificielle
http://cacm.acm.org/magazines/2012/1/144824-artificial-intelligence-past-and-future/fulltext
https://stratechery.com/2017/the-arrival-of-artificial-intelligence/
27. DIXIT
“there has been a perfect storm brewing
for companies and large enterprises
working to apply AI into their processes.”
La nouvelle Hier
https://betakit.com/techstars-and-real-ventures-launch-ai-accelerator-in-montreal/https://betakit.com/techstars-and-real-ventures-launch-ai-accelerator-in-montreal/
28. From Atoms to Bits
(and back again)
Thinking Digital
Sylvain Carle
http://realventures.com
sylvain@realventures.com