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4. Generative AI and ethics: navigating creativity, privacy, and control- Dr. Ravinder Singh
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7. Quantum computing: redefining the digital world- Dr. Ravinder Singh
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8. Sustainable tech: leveraging emerging technologies for a greener future- Dr. Ravinder Singh
Printable Handouts
Navigable Slide Index
- Introduction
- Data growth: 2010-2025
- Sources of data: Every minute
- Sources of data: Every day
- Data analytics to data science
- Emerging technologies
- Overview of emerging technologies
- Future direction and innovations
- Emerging technologies driving innovation in public services
- Benefits of emerging technologies
- Benefits of emerging technologies in LMS
- Roadmap
- Steps to deploy technology
- Technology deployment: Continuous process
- Challenges and considerations
- Case study: Large multinational bank
- Thank you
This material is restricted to subscribers.
Topics Covered
- Data growth
- Sources of data
- Data analytics to data science -Emerging technologies
- Future direction and innovations
- Technology deployment
- Challenges and considerations
- Case study: Large multinational bank
Talk Citation
Singh, R. (2026, September 30). AI machine learning: the future of innovation, automation, and intelligence [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved October 10, 2026, from https://doi.org/10.69645/CMGQ2058.Export Citation (RIS)
Publication History
- Published on September 30, 2026
AI machine learning: the future of innovation, automation, and intelligence
Published on September 30, 2026
21 min
A selection of talks on Technology & Operations
Transcript
Please wait while the transcript is being prepared...
0:00
Hello. I'm Dr. Ravinder Singh.
I'm Head of Digital and
Systems Team Cabinet Office
and particularly working with
Government Commercial Function.
My team provides digital and
technology services across
Government Commercial Function,
which are government
commercial college
and use of new
emerging technologies,
AI, machine learning,
blockchain,
quantum computing, Internet
of Things, and others.
This is a very
relevant topic because
each and every organization
is trying to use
the new technologies
for providing
better services as well as
better products for
their customers.
0:38
We can see the data has
grown from 2010 to 2025.
This slide provides
you that 90 times
the data has increased,
and it is increasing
day by day, as you can
see with the advent
of new technologies and
use of generative AI,
LLM models or ChatGPT
or similar things.
It is increasing enormously
in the last five years or so.
It has increased much more
than in previous years.
As you can see from this
slide, from 2023 to 2025,
60 zettabytes have increased,
which is enormous data increase.
Where is this data coming from?
The next slide will
tell you about that.
1:18
This slide provides you
how this data is coming,
I'm just taking this from
the various
applications which are
data growth which is
showing from Tinder,
from Google searches, WhatsApp,
from emails sent,
apps which are used,
YouTube videos, TikTok
videos, and so on.
As this data is showing
you that every minute of
the data that this is how
the data is increasing.
You can see, or
you can appreciate
that where this data
is coming from,
and we have to be very
cognizant of this fact
that we have to use
this data judiciously
and we can use this data
to market ourselves
and make our products better.
Data grows every day.