Ecosystems Architecture - The Open Group Summit, Houston, Texas
Summary
TLDRThe video script discusses the evolution of IT architecture in the context of AI advancements. Phil, a technical architect at IBM, introduces an ebook on ecosystems architecture, emphasizing the need for architects to adapt to increasingly complex systems. The conversation explores the potential of generative AI to assist architects in managing complexity and envisioning new possibilities. It also touches on the role of professional practices and standards in guiding the integration of AI into architecture, inviting the community to contribute to the development of this field.
Takeaways
- π The script discusses the evolution of ecosystems architecture and its significance in the context of complex systems and AI advancements.
- π€ Phil, the primary author of the book, has a background in technical architecture and has worked extensively with IBM, focusing on data ecosystems and large analytics systems.
- π The book emphasizes the importance of dealing with complexity in architecture, as systems scale and become more intricate, exceeding human capacity to manage.
- π It touches on the concept of 'hyper Enterprise' architecture, which involves working in open, ecosystem contexts with potentially millions of components.
- π§ The discussion highlights the role of generative AI and large language models in assisting architects, suggesting a new era of IT architecture where machines understand and communicate in human languages.
- π The authors propose a 'third golden age' of IT architecture, leveraging the capabilities of AI to extend the boundaries of what architects can achieve.
- π₯ The book is a collaborative effort with contributions from various experts in the field, indicating a collective push towards advancing architectural practices.
- π οΈ The script suggests that architects can use generative AI to produce schematics and diagrams, indicating a shift towards more dynamic and tool-assisted design processes.
- π The importance of professional practice and standards in guiding the integration of AI into architecture is underscored, to ensure responsible and effective use of technology.
- π The Open Group is positioned as a key player in fostering collaboration and setting standards for the use of AI in architecture, inviting the community to participate in this advancement.
- π The script concludes with an optimistic view of the future, anticipating rapid progress and innovation in architectural tooling and practices with the help of AI.
Q & A
What is the primary focus of the discussion in the script?
-The primary focus is on the concept of ecosystems architecture and how it relates to the challenges and opportunities presented by large-scale, complex systems, especially in the context of advancements in AI and generative AI.
Who is Phil and what is his role in the discussion?
-Phil is a technical architect who has worked for IBM for 21 years and has been involved in SE PTO data ecosystems. He is also the primary author of the book discussed in the script and contributes his expertise on large data and analytics systems.
What is the significance of the book mentioned in the script?
-The book, authored primarily by Phil, discusses the importance of ecosystems architecture in the context of increasingly complex systems and the potential of AI to assist architects in managing this complexity.
What does the term 'AI' stand for in Phil's introduction?
-In Phil's introduction, 'AI' humorously stands for 'artificial idiot', setting a light-hearted tone for the discussion while also referring to the topic of artificial intelligence.
What is the 'third golden age of IT architecture' as discussed in the script?
-The 'third golden age of IT architecture' refers to a new era where architects can leverage the capabilities of AI and generative AI to work with systems that were previously considered too complex, moving beyond traditional enterprise boundaries into hyper-enterprise contexts.
What is the role of generative AI in the future of architecture as per the script?
-Generative AI is expected to play a significant role in the future of architecture by acting as an assistant to architects, enabling them to work with dynamically changing problem spaces and to conceptualize and design systems that were previously considered unthinkable.
What is the significance of the 'headful' concept mentioned by Phil?
-The 'headful' is an informal unit of measure for complexity, suggesting that if one cannot fit all the ideas associated with a certain thing in their head, it is complex and requires multiple heads or minds to work on it.
What are the 'three golden ages' of IT architecture as outlined in the script?
-The three golden ages are: 1) The age of machine code and high-level languages, 2) The age of encapsulated ideas and design thinking, such as objects and schematics, and 3) The current age where machines can communicate with us in human-understandable languages, allowing for augmented architectural practice.
How does the script suggest the use of generative AI by architects moving forward?
-The script suggests that architects can use generative AI to produce schematics, diagrams, and other architectural representations in various formats, including text-based formats like SVG and XML, thereby accelerating and augmenting their work.
What is the potential role of standards organizations like The Open Group in the context of AI and architecture?
-The script suggests that standards organizations like The Open Group should establish open interoperability frameworks and standards that leverage AI, facilitating the definition of specific solutions for any pair of enterprises and leading the way in the brave new era of AI-assisted architecture.
Outlines
π Introduction to Ecosystems Architecture
The speaker begins by acknowledging attendees who were present at a previous event in Edinburgh, where the topic of ecosystems architecture was first introduced. The group has since worked diligently, leading to the publication of an ebook authored primarily by Phil, who has an extensive background in technical architecture and data ecosystems at IBM. The speaker emphasizes the importance of the book and invites Phil to discuss its significance, hinting at the relevance of AI in architecture.
πΏ Exploring Ecosystems and AI in Architecture
Phil delves into the concept of ecosystems in architecture, comparing traditional enterprise architecture to the more complex and interconnected 'hyper Enterprise' context. He discusses the challenges architects face in managing large and complex systems, and how AI can potentially assist in this domain. Phil highlights the book's focus on practical applications of AI in architecture, rather than science fiction, and sets the stage for a discussion on how architects can work within open, dynamic systems.
π The Evolution of Architectural Thinking
This paragraph discusses the evolution of architectural thinking from the early days of software engineering to the present, where semantics and the formal representation of ideas are crucial. Phil explains how the advent of graph databases and advancements in AI have influenced architectural practices. He suggests that the integration of AI with architectural tools can significantly augment the capabilities of architects, allowing them to tackle complex problems in new ways.
π The Third Golden Age of IT Architecture
Phil introduces the concept of the 'third golden age' of IT architecture, a term borrowed from Grady Booch, which signifies a shift where machines can communicate with us in human-understandable languages. This development opens up new possibilities for architects to work with AI as an assistant, expanding the boundaries of what was previously considered achievable. The paragraph emphasizes the importance of maintaining professional practices while embracing these technological advancements.
π Practical Applications of Generative AI in Architecture
The speaker shares an anecdote about an architect using a large language model (LLM) to produce schematics, highlighting the practical applications of generative AI in architectural work. Phil suggests that LLMs can communicate in any relevant language, including those for creating diagrams and models, thus accelerating and augmenting the work of architects. He invites the architectural community to explore these possibilities and collaborate on advancing the profession.
π The Future of Architecture with AI
In the final paragraph, the discussion turns to the future of architecture with AI, with Phil expressing optimism about the rapid development of tooling and the potential for the open group to establish standards leveraging AI. He emphasizes the importance of professionalism and the existing community of architects in shaping this future. The conversation concludes with a call to action for the audience to engage with the ideas presented in the book and contribute to the ongoing evolution of architectural practices.
Mindmap
Keywords
π‘Ecosystems Architecture
π‘Artificial Intelligence (AI)
π‘Enterprise Architecture
π‘Generative AI
π‘Large Language Models (LLMs)
π‘Semantics
π‘Graph Databases
π‘SVG
π‘Archimate Language
π‘Tipping Point
π‘Third Golden Age
Highlights
Introduction of the Ecosystems Architecture concept, which is a new approach to managing complex systems beyond traditional enterprise boundaries.
Phil Hames, the primary author of the Ecosystems Architecture book, has 21 years of experience at IBM and specializes in large data and analytics systems.
The book discusses the challenges of architecting systems that are too large and complex for human capacity, necessitating new methodologies.
The concept of 'hyper Enterprise' is introduced to describe working in contexts where traditional enterprise boundaries are blurred.
The importance of understanding and managing ecosystems within architecture, especially with the dynamic and evolving nature of components.
The book does not indulge in science fiction but focuses on 'science fact', providing practical insights into current technological capabilities.
The role of generative AI and large language models in augmenting the capabilities of architects and engineers.
The potential for generative AI to produce schematics and other visual representations through text-based formats like SVG.
The idea of 'headful' as a measure of complexity, indicating when a system is too complex for a single person to comprehend.
The three golden ages of IT architecture as described by Grady Booch, emphasizing the current age of human-machine collaboration.
The book's focus on the cohesion of ideas that have been in development for decades, now updated in the context of advanced AI.
The call to action for the architectural community to embrace the new possibilities offered by generative AI and contribute to the evolution of the profession.
The potential for the Open Group to establish standards that leverage AI for defining solutions in an interoperable framework between enterprises.
The emphasis on professionalism and precision in the use of AI to ensure the advancement of architectural practice.
The anticipation of rapid tooling development in the field of AI and architecture, with the community expected to drive innovation.
The importance of the Open Group's role in leading the development of standards in the brave new era of AI-enhanced architecture.
The book's aim to clarify and consolidate existing ideas in flight, providing a comprehensive resource for the architectural community.
Transcripts
those of you and I know there were some
of you because I I I recognize you uh
those of you who were at our Edinburgh
event a year ago um you would have heard
the first talk inside the open group of
um ecosystems architecture and some work
that's being um done um with by a by a
subgroup of our architecture Forum um on
this topic and uh in that time uh that
group has worked uh uh diligently and um
and had a lot of uh great discussions
along the way that you will hear about
shortly but um I'm I'm pleased to
announce that uh as of today with Phil a
little bit more so um just a quick
introduction to Phil some of you will
remember him if you've heard him speak
before you'll definitely remember him uh
it's great to have you back Phil um he
is for the past 21 years Phil has worked
for IBM as a technical architect and
he's been SE PTO data ecosystems um and
he's also uh vice president of the
Academy of Technology between 2019 and
2022 and he in his day job he helps top
100 companies build really big data and
analytics it systems so uh without
further Ado because this is a great
topic uh don't want to waste any time
over to you Chris thank you Steve yes I
was just going to say welcome Phil how
are things in Preston hi guys can you
hear
me can we hear him you hear me can you
see me yes
yes okay so um we did publish the ebook
just now um you can get to it on the
open group library but there will be a
hard copy following shortly okay so
uh Phil is the primary author here of
the book
um we've announced it why is it
important
mate so just be just before we dive into
that Chris can I can I just make
something clear so um uh thank you very
much Steve for introducing me as an AI
in my case the AI stands for artificial
idiot so at least we've set set the
level of
expectation um and and I also should
compliment andras what a what a an
absolutely brilliant uh session but
before we start because we're going to
touch on AI slightly uh let's just reset
the tone so um andras talked a lot about
what could happen as Architects we
should really only be interested in what
can happen so ecosystems is essentially
about how what we can do uh potentially
with AI now that's one of the things
that this is about and actually the book
does not talk about science fiction it
talks very much about science fact so um
on that
basis um just repeat your question Chris
and then I'll dive into it properly
sorry why is this book important Phil
right because there there are a couple
of things going on so um as we as
Architects learn how to build bigger
better faster stronger
systems there are two consequences of
that the first thing is that our systems
scale uh and the other reason is that as
we scale our systems the side effect is
generally that the systems become more
complex that causes a problem for us as
humans in that we only have certain
finite we have capacity and the systems
that we're being asked to architect
these days uh in certain circumstances
are becoming just too large and too
complex for us to handle there's a
second problem as well in that if you
look at current stateof the art as in
first of all we started to think about
how we architect systems and then we
afforded ourselves the luxury of
thinking about systems of systems in
other words what we call Enterprise
architecture today this there's a
problem with the idea of Enterprise uh
the world that we're living in
today and predominantly there I'm
speaking about the internet Aid means
that most Enterprises or organizations
are afforded the opportunity for almost
Limitless connectivity beyond the bounds
of what we would traditionally consider
to be a business or
Enterprise so a question that we asked
as a a group of Architects over 15 years
ago now was how can we work in an
environment like that how can we AB
abstract above the level of the
Enterprise into hyper Enterprise
contexts and how can we work with
systems and within problem contexts
where it's almost impossible to
understand where the boundaries of our
Enterprises are or our systems are in
formal terms what we're actually talking
about is the idea of closure in it
architecture so the primary question
that we asked was how can we potentially
think about architect detecting systems
in a world where um it's entirely open
and if you speak to experts from other
fields they have a world for that type
of open context and the word that they
use is
ecosystem so uh in an ecosystem context
we're dealing potentially with hundreds
of thousands if not millions of
components that that at the mer that
that are Mercy at the EB and flow of the
requirements around them and they could
be dynamically changing or evolving with
inside context with which we no longer
have direct control as Architects how
could we work in that hyper Enterprise
world was the challenge that we set
ourselves many many years ago and it's
taken a lot of thinking to get to the
point that we're at now um I hope that
answers your question
Chris uh well I'll reread the book and
we'll see uh
the I I can tell you that when when Paul
Paul uh let me just name the authors
here so that you know who we're talking
about the authors are Phil Paul hman
Neil Fishman and uh Rahul from Honda R&D
Europe and some of the contributors uh
Steve Nichols from dxc Mark Dixon from
The Open group Christopher Hines from
Rolls-Royce and Stuart Weller from
Rolls-Royce when Paul asked me what I
thought about the early drafts I said to
him my head's
exploded right there's some there's some
incredible thought leadership in this
document so there's a story line and a
thread that's run through this field
that you guys have worked on for the
past year can you talk to us a little
bit about the composition of the book
and the storyline for it yeah so if you
would look at the history back in
actually I was thinking about this Chris
because I know you and I prepared the
questions up front uh in around 20012
2002 there was a group of us were deeply
interested in the idea of semantics in
software engineering and that actually
translates into it architecture as well
and in other words how can we understand
that the things that we're talking about
are tangible and real how do we link
those things together uh and how do we
how do we Bend and modify that thinking
so we can think about genuine complexity
not just in it systems but in a number
of systems that are around and
associated with both Science and
Technology social systems for example
social media and that eventually LED
onto the the early work in graph
databases um and eventually we got to
the point where not only were we
interested in modeling architecture you
got to remember that the fundamental
substrate underneath uh architecture is
essentially the representation of of the
formal representation of ideas so um
that work eventually progressed almost
hand in glove with the advances in uh
information retrieval for example an
early AI until eventually we got this
weird Confluence of ideas about 18
months ago where you now see AIS like
chat GPT and Bard and and other
instances now what's interesting is if
you would look at the formal mathematics
under those AIS what you'll actually
find is the same are the same
mathematics that we were thinking about
decades ago now with regards to the
linking together or networking of ideas
now if we were to peel back the ideas of
it architecture if we were to look at
the semiformal M uh semi-formal
schematics that we all trade in as a
matter of almost reflex these days then
underlying those schematics you've got
the same mathematics if we were to
actually essentially undress the
schematics and redress them in a way so
that you could represent any idea or
theme so long as you could capture the
semantics precisely then essentially
with the aid of artificial in assistance
so in other words if we can augment the
capability of an architect using
Advanced tooling like large language
models then essentially that that
springboards us out into a whole new
universe of possibilities and ideas so
um a colleague of mine inside IBM many
many years ago coined um an informal
unit of measure for complexity he
referred to the headful and by a headful
what he meant was that if you can't fit
all the ideas associated with a certain
thing in your head then by definition
it's complex and you need multiple
headphones to work on that what's
interesting is if you if you map
together if you bond together all the
good practice that we've developed thus
far in the profession of it architecture
and you use the underlying first
principle mathematics and then you bring
in the very very powerful and profound
capabilities that we now have in
generative eye generative Ai and large
language models what it allows you to do
is to cast out beyond the idea of an
Enterprise and work in the domain of
dynamically system dynamically changing
problem
spaces so this is this is if you like
I'm going to say it a different way what
when when the generative AI when
generative AI models like chat GPT
arrived about 18 months ago um I said to
those around me look this is a case of
everybody off the bus we need to start
again um that's not true actually
if you look at what we've done over the
Decades of architectural and software
engineering progress actually what it's
done is it's naturally brought us the
situation that we're in now which is if
we apply all the forethought all the
governance all the riger that we bring
as Architects and engineers then there's
absolutely no reason why we should not
engage with this next generation of of
technology to allow us to think about
what we previously thought to be
Unthinkable now and was right we need
guide rules but actually or guide rails
but actually the guide rails are already
in place through the professional
practice we already have what you will
find in this book is the bringing
together of all the first principle
ideas all uh Concepts around guide
railing that we already have inside it
architecture you bring together all the
best practice that we've had uh and
hopefully you come up with something
that will take us into what we're now
calling the third goal golden age of it
architecture yeah so Phil can you just
comment on on what the three Golden Ages
were that you outlined in the book yeah
so I'm stealing this so it um this
actually came from gry B um we were
lucky enough to work with Grady uh a
little bit on Crafting crafting the text
what Grady says is rather profound I
absolutely love this he said the first
gold Edge he actually refers to the the
golden edges of software engineering but
he kindly agreed that we can transfer
into it architecture so the first golden
age of it architecture was the age if we
wanted to with
the entirely conform to their language
and protocols so we're talking about the
age where we went the where we first
started off with machine code then we
progressed to assembler then high level
languages and so on and so forth then
what we did was we we hit the point
where they had to terms talk to the
machines directly and immediately
understand what we what we afforded
ourselves was the capability to abstract
slightly further and talk in terms of
encapsulated ideas now that's what Grady
refers to is the second age and there
you find instances essentially of
professional advance or or um thinking
around design so you get the idea of
objects and
encapsulation you get the idea of the
schematics and the graphic IAL ways of
communication that uh we naturally
evolved as a community and then we
actually got to this Tipping Point which
is very very recent surprisingly but
astonishing astonishingly profound
certainly for me so those who will be
familiar with the work of um Alan cheing
will most probably remember the cheing
test in other words can a machine fool
you that it's human well I think we're
probably at a safe point where we can
suggest that we've smashed the during
test and what that means is is that
actually the coin is being flipped from
the first golden Edge and no longer do
we need to talk to machines in languages
that they can understand rather they can
talk to us in languages that we can
understand and what that means is that
if we are careful if we are professional
and if we are precise then what we can
do is essentially we can work with
machines as our assistant to allow us to
augment our practice to move out into do
domains that we could not previously
reach before that's what we refer to as
being ecosystems architecture or
architecting in the hyper Enterprise
plane so Phil could could you perhaps uh
suggest some uh some ways in which the
architect profession might use
generative AI going forward yeah
absolutely so
um uh I was in a meeting a week and a
half ago with uh a fellow architect
and uh he passed a comment that I didn't
quite believe at the time he said I'm
I'm talking to large language models and
I'm getting them to produce schematics
for me and he mentioned a specific large
language model and I corrected him
afterwards and I said look um I think
you'll find that that particular large
language model um only Converses in
terms of text it can't produce
schematics it can't produce pictures and
he said no no no no you're forgetting
something Phil um I can ask that large
language model to Output the output its
answer in SVG SVG is a text-based file
format so if I want a picture of two
Dolphins running up a street wearing a a
soccer strip um it can do that for me
and I said to him pass me the code uh
and actually before I'd finished the
sentence I was online already and I'd
asked one of the llms I said can you
produce me a um a class diagram in a
specific format that demon rates the
subtlety of a facade pattern within 5
Seconds i' taken the output from that
llm I'd gone another tool online and I
had
a anything that I could have ever drawn
of opponents all evolving in close to
real
timeit exciting and
interesting
you you had uh your your audio and video
had Frozen for a moment there um after
you gave that
example uh to us a week ago I went
discuss this with some folks relative
not to uml but to the archimate language
and we have archimate can be expressed
in XML just go go back about 30 go go
back about 30 seconds Chris the line's
obviously failing I'm sorry yeah what
I'm saying is is that you were giving
the example
of uh the llm and a rendering of a uml
uh
described uh facade
pattern and when we discussed that last
week I said well okay we can produce XML
definitions of aromate through the
exchange file format here at the open
group would it be feasible to do that
with a large language model the toaf
standard the arim standard all that sort
of thing and the answer that came back
from the several people I asked was yeah
there's no reason we couldn't do that so
the the um the example is if it's if
it's something that we can talk about
and describe in a fairly formal way some
of these things can accelerate a lot of
the work that we would typically do
augment the
work yeah so can you hear can you hear
me at the moment Chris
yes and the moment you say yes it
freezes Al go well
have you still got me yes we've still
got you it's just Murphy's dancing
around the room at the
moment right so the the key point is
this isn't just about SVG or XML
friendly formats it's about the
capability of llms to communicate in any
form of language that we deem to be
relevant so we're likely going to be
moving into a world of dynamic languages
that will be created within the moment
um and that in itself
a whole universe of possibilities and
creativity that we as an architect
Community can only we're only just on
the edge of imagining now so um this is
a horizon that
ising at the same time uh and it this is
work that
absolutely inside a formal community of
Architects who are interested in the
betterment of the profession I can think
of no better work no better place than
the open group to do that work so that's
really uh an invitation to the community
and the industry at large to come and
help flesh out this work and collaborate
with the uh ecosystems architectural
work
group correct given the pace of
advancement in uh generative AI at the
moment almost certainly we will see
progress in the tooling space I know
that you're already talking to one or
two organizations who are playing with
ideas in the ecosystem space and around
Genera
AI I think we're heading
for an
amazing Spurt of inspiration and
Advance the key point so the the point
that andras made was if we keep this
within the profession and we make our
work
professional then all that we can
expect is increased professionalism and
better practice and capability again I
cannot emphasize this has to be about
what we can and should do not what we
could or would
do yeah the the the the ship has
effectively sailed and we're in the
middle of it I think this book has
actually laid down and clarified some
things that are actually in Flight
already and just haven't been
necessarily pull all down in one place
if if I understand the reason you guys
got
together yeah so this isn't particularly
about anything new it's about the
cohesion of a collection of ideas that
have been in play for a number of
decades what we've done is just uh
updated those within the context of this
post chinian World um I would I would
appeal every every single one of those
who have contributed towards this book
deserves a round of applause I'm
exceptionally proud of it uh it's been
some time in the coming it just happens
that time it couldn't have happened
within a better community um it's just
great news absolutely great news
exciting times my friend indeed uh and
what I would like to do Phil is just
hand you back over to Steve for Q&A from
the audience and uh thank you for the
contributions to all of the authors and
and the
contributors thank you as always I bow
before you thank you Chris and uh thanks
Phil um we're uh running a little behind
here I'll keep the questions brief but
um I did did um I do swear that um in
fact excuse me I'll give this back
because it's past codes g off and
somebody else needs to do that for me
please Andrew um I swear when you first
mentioned generative AI at the beginning
of your talk you actually said
degenerative AI which I thought was
quite funny
um did know really well that was because
I declared myself as being an artificial
idiot I do
apologize no so um actually I don't I I
did see the questions on there uh
there's one I need a refresher about but
um the first one was um uh well it was
thank you it it was along the lines of
thank you for explaining where you've
got to and the journey so far what's
next with
this I think the inevitability is that
we're going to see
tooling quicker than even I could
imagine uh my expectation is once the
community gets hold of this we'll see
incremental
Advance well my guess is it will match
progress with llms I think it has to um
how fast that
is I I think we all have to stand back
and watch to be truthful I I'm I I don't
really want to predict that type I think
it would be foolish to predict but fast
faster than fast faster than faster than
fast there we go um and so the other
question that came in is do you think
the open group should establish an open
interoperability framework
standard that would leverage AI for
defining a specific solution for any
pair of
Enterprises I think the default answer
has to be yes um I'm very passionate I
think now is the time for standards
organizations to step up and take the
lead um we are heading towards a brave
New Era
it's right and proper that organizations
like the open group should be front
front and center so the the answer is
yes but um I think that should only be
one of a number of working groups that
are spawned out of of the the open group
yeah yeah this is a leadership thing
yeah yeah Phil I I appreciate you the
efforts of you and all the authors and I
I absolutely second the uh the idea that
that should be uh that should deserve um
a round of applause which you're hearing
another one of in just a moment um but I
uh I I've read this myself and uh it I
found it really thought-provoking I
actually thoroughly enjoyed it and um I
know I'm on stage at an open group event
but I don't always find everything we
publish quite as
compelling um as as this it really did
uh get me thinking about uh this and the
timing could not be more appropriate so
um I'm delighted that we're doing this
now and uh look forward to where it goes
next so C can I just end on one thing
can you um help me fulfill a life's
ambition I'd like to say one thing of
course back to Steve in the studio I've
always wanted to say
[Laughter]
that thanks Phil appreciate
it okay folks yeah well here we are in
the studio we're going to break from the
studio for uh for coffee uh tea whatever
outside we as as you know we're a few
minutes late going in so let's take 15
minutes um and uh and be back here in 15
minutes we have some more great stuff um
to go through and uh I I uh recommend
downloading this ebook to uh to
everybody see you
soon
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