From manual tasks to automation to cognitive capability

1. • Day 1: Definition, Concept
• Day 2: Components
• Day 3: Technologies
• Day 4: Business Cases
• Day 5: Transformation
AI Days
Martin Polozadeh

2. AI Transformation
Day 5
“AI is a tool. A (very) smart one, but a tool nonetheless. Its purpose in business is
to solve problems, and it can help with everything from productivity to
promotional campaigns. But it isn’t an overnight solution, it takes work to
implement.”
AI transformation: Is it the new digital transformation? by Peter Sanders

3. From manual tasks to automation to
cognitive capability
Analog
Digital
Narrow AI
Strong AI
Super AI

4. Transformation key success factors
Strategy Ethic Education Culture Data Innovation

5. Strategy
AI Strategy’s four areas:
• Low-risk, low-value: Involves automating low-level repetitive tasks, such as data
processing
• Low-value, high-risk: includes audience-targeting driven by machine-learning, which
can cut the costs of identifying and reaching audiences, and boost profits by targeting the
right customers
• High-value, low-risk tasks: such as the credit scoring models in financial services. This
offers high value, but is low risk and so complex no one else can decipher it.
• High-risk and high-value activity: the uncharted territory where there is no solution
on the market, for instance using AI systems to fuel new product development.
Implementing successful AI: think big, start small and scale fast by David Benady

6. Technology
Follow instruction
Machine learning
RPA
Automation
Analyze Predict Learn without help
Deep learning

7. The Engineering and Physical Sciences Research Council based in UK has designed 5 “Principles of robotics” for
designers, builders and users of robots
1. Robots should not be designed as weapons, except for national security reasons.
2. Robots should be designed and operated to comply with existing law, including privacy.
3. Robots are products: as with other products, they should be designed to be safe and secure.
4. Robots are manufactured artefacts: the illusion of emotions and intent should not be used to exploit vulnerable
users.
5. It should be possible to find out who is responsible for any robot.
Ethics
“Any discussion of morality must also take into account the different values held by
different people and groups, and the risk of endorsing values held by a majority which
may lead to discrimination against minorities”
AI morality and values – DeepMind ethics society

8. “From top to bottom, all staff within a business need some demystification
of what AI is, and what it definitely isn’t.”
AI transformation: Is it the new digital transformation? By Peter Sanders
Education
“It is critical that business leaders measure their current AI maturity and
assess the availability of internal skill.”
Mapping the AI Transformation Journey In Your Organization- Forbes

9. “It’s not solely about getting people interested, there needs to be
a change of mindset in staff too. ”’
AI transformation: Is it the new digital transformation? By Peter Sanders
Culture
“Because data is king in a world of AI, leaders will need to increasingly bridge
across their organizational silos in order to obtain and leverage the data needed
to fuel the AI system, and they will need to empower the people in the front
lines who are better able to see the new business opportunities enabled by it. ”’
How will company culture change when artificial intelligence clocks in? Professor Herminia Ibarra

10. “It’s not solely about getting people interested, there needs to be
a change of mindset in staff too. ”’
AI transformation: Is it the new digital transformation? By Peter Sanders
Data
Part of the culture of the business should be understanding of
the importance of data and an agreement on how this data
should be collected and stored.
AI transformation: Is it the new digital transformation? By Peter Sanders

11. Innovation
Successful artificial intelligence transformations start with visionary
leadership. Companies at the forefront of AI are led by far-sighted but
pragmatic executives who deploy cognitive technology as part of a strategic
effort to ride the next evolutionary wave. Innovation drives their corporate
cultures, and top leaders support investment in both R&D and in-house
venture capital units.
“Will You Embrace AI Fast Enough?”
By Hugo Evans, Renata Kuchembuck, Michael Hu, and Eric Gervet

12. Questions
Where would your organization start the
transformation?
“Reducing a product's definition to a list of features and functions ignores the
real opportunity - orchestrating technological capability to serve human needs
and goals.”
- Alan Cooper (Microsoft CO-founders)

13. Next
AI & Infrastructure

14. References
• Mapping the AI Transformation Journey In Your Organization:
https://www.forbes.com/sites/cognitiveworld/2018/09/10/mapping-the-ai-transformation-journey-in-your-
organization/#11f785005925
• Study Examines AI Readiness: “Data is the Fuel of Machine Learning:
https://blog.seagate.com/human/study-examines-ai-readiness-data-is-the-fuel-of-machine-learning/
• AI morality and values: https://deepmind.com/applied/deepmind-ethics-society/research/AI-morality-
values/
• AI Ethics: Artificial Intelligence, Robots, and Society: http://www.cs.bath.ac.uk/~jjb/web/ai.html
• Principles of robotics:
https://epsrc.ukri.org/research/ourportfolio/themes/engineering/activities/principlesofrobotics/
• Will You Embrace AI Fast Enough? https://www.atkearney.com/operations-performance-
transformation/article?/a/will-you-embrace-ai-fast-enough
• How will company culture change when artificial intelligence clocks in?
https://news.microsoft.com/transform/will-company-culture-change-artificial-intelligence-clocks/
• Implementing successful AI: think big, start small and scale fast:
https://www.raconteur.net/technology/implementing-successful-ai-think-big-start-small-and-scale-fast