AI / ML – Past, Present & Future
A series of posts that I have
written on the world of Artificial Intelligence intertwined with Machine
learning. This covers the past, present and future of the related subject. The
posts are broken into 8 blogs - excerpts and links to each one are provided
below.
The World has seen development/growth
primarily driven by the Industrial revolutions. Each of these revolutions
changed the way we looked at a time of economic dislocation; when old ways of
production become defunct and they had to give way to far better/newer ways of
production that could harness the improvement brought in by new machines. The
First Industrial revolution was powered by the invention of the loom the second
by the steam engine and the third by the assembly line, the fourth however will
be powered by the machines that seem to think. We are HERE in the fourth one.
The impact of the new age machines that
are learning and thus by utilizing AI/ML mould the world we are going to
experience. In this excerpt we are going to understand the machine in itself,
the raw material that constitutes it and how the world of AI/ML comes alive.
New Machine: A system of intelligence that combines software, hardware data and
human input: -Software that learns -Massive hardware processing power -Huge
amounts of data
We are going to quickly look through the
making of Data that makes an AI system successful and then dwell upon the
design and delivery of Digital business models and solutions thereof in part b
of this third post. As we learnt earlier, each industrial revolution has been
catalyzed by a new raw material: Coal, Steel, oil or Electricity. This time
around, data is the primary raw Material. Today organizations are able to know
precise information on a varied amount of genres – right from how their engine
is performing during a particular journey to a specific student’s performance
on one of the lessons in a class. All this is possible because of the Data they
have access to.
We are going dwell upon the design and
delivery of Digital business models and solutions thereof. The ‘first wave’ of
data creation, which began in the 1980s and involved the creation of documents
and transactional data, was catalyzed by the proliferation of
internet-connected desktop PCs. To this, a ‘second wave’ of data has followed —
an explosion of unstructured media (emails, photos, music and videos), web data
and meta-data resulting from ubiquitous, connected smartphones. Today we are
entering the ‘third age’ of data, in which machine sensors deployed in industry
and in the home create additional monitoring-, analytical- and meta-data.
We are going dwell upon the different ways
to harness the new age machine through Automation and Instrumentation As I have
pointed out repeatedly in the previous parts of this blog series on AI/ML,
industry is riding on the cusp of a huge new wave of automated work that is
going to fundamentally change what millions and millions of people all around
the world do, Monday through Friday, 8 hour work day. The attempt at automation
of existing parts of your business with the new machine provides an opportunity
to change the cost structure of your firm, while at the same time increasing
the velocity and quality of your operations. We need to understand what
automation actually is, which part of your business are best suited to be
automated, which jobs will be most impacted, the benefits you can expect and
the problems to avoid.
We are going dwell upon the different ways
to harness the new age machine to enhance human experience. Let us recognize
that all these scenarios in one way or the other are enhancing the human
experience. Today driving places is so easy when compared to following
directions from a print out. With smart GPS systems, whether as an app on our
smart phones or embedded as an instrument in our vehicle’s dashboard, it’s far
more difficult to get lost nowadays. The GPS systems we now take for granted
provide a preview of coming attractions on how the new machines are enhancing
more and more of our work and personal lives.
We are going dwell upon the different ways
to harness the new age machine in enhancing Market competitiveness. The loom
led to excessive clothing, the steam engine to excessive travel, and the
factory model led to excessive refrigerators and televisions finding their way
into homes all around the world. Before the revolutions that spurred them,
these products were rare luxuries. So the concept of excessiveness is really
quite simple, and old – as prices go down, demand goes up. As the new machines
drives the price down, markets of excessiveness will be established, driving
sales up to unimagined levels. The question now becomes, will you seize the
advantage with the new excessiveness that is available or fall victim to it?
We are going to dwell upon the different
ways to harness the new age machine in by and large the innovation quotient
that we need to invest upon. As we have seen throughout this series of posts,
the innovation related to the intelligent systems and digital economy is both a
catalyst for and an outcome that will allow your organization to discover
opportunities that were never before visible or addressable. Innovation being
the center stone, it can’t be a side project which is nice-to-have but its
central to remaining relevant in the great digital build-out that we are
experiencing and of course lies ahead of us. While machines will do more and
more of our work, the process of innovation will allow us to discover entirely
new things to do that are impossible to imagine and hard to predict but they
will be at the core of what we do in the future.
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