Emerging Technologies for the Enterprise
Emerging Technologies for the Enterprise BIN3025
Module Leader & Tutor
Dr Sina Joneidy
Lecture 3
Week 3
Dr Sina Joneidy
11/10/2021
is happy
I wish everyone
Structure of the session:
Ground Rules
What did we cover last two weeks?
Aim and indented learning outcomes of this week
A bit of lecture
Questions for you
A bit of lecture and watching videos
Review of the aim and intended learning outcomes
Preparation for the workshop
Feedback Survey
Ground Rules for today:
There is no wrong and right answer to my questions. Any answer is much appreciated.
Respect yourself, your peers and your instructor by being present in the session.
Your engagement influence your success in the assessment! Believe me ;)
Keep the noise level down.
When you write a feedback for me at the end, please make it constructive.
What was the aim of the lecture and workshop in Week 1?
To recognise the importance of the concept of “emerging technology”.
Linked to ECA Part 1 & ECA Part 2 Assessment Criteria 1.
What were the intended learning outcomes in week 1?
To define an “emergent technology”.
To discuss what do we mean by “emergent”?
To identify and argue what qualify a technology to be “emergent”?
What was the aim of the lecture and workshop in Week 2?
To discuss the nature of digital technologies from two perspectives of being-in-itself and being-in-the-world.
Linked to ECA Part 1 & ECA Part 2 Assessment Criteria 1.
What were the intended learning outcomes for week 2?
What do we mean by being-in-itself?
What do we mean by being-in-the-world?
What are the 5 exponential digital technologies and their use cases?
What is the aim of the lecture and workshop in Week 3?
To identify types of human-machine collaboration for the enterprise and discuss the implications for the managers and workers.
Linked to ECA Part 1 & ECA Part 2 Assessment Criteria 1.
What are the intended learning outcomes for this week?
What do we mean by instrumenting the human?
What do we mean by socialising the machine?
What are the types of human-machine collaborations in the enterprise?
What are the implications of instrumenting the human and socialising machine for the managers and workers?
Disruptive Technologies
Transformation the future of workplace
Can AI Replace Human?
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Can AI Replace Human?
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We want to re-imagine the work processes in the context of mutual human-machine collaboration.
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to optimise the blend of
human–machine participation and interaction within the digital workplace.
Augmentation!
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Work in greater harmony together.
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Mapping the division of labour: human–machine collaboration
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Human–machine work scenarios where machines augment humans and vice versa
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‘Physical–physical’ – meaning both humans and machines play a physical role such as caregivers working with smart mobile robots to deliver medicines and supplies in hospitals.
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Physical – Physical Health Care Tug Autonomous Mobile Robot An example of Socialising Machin
‘Physical–virtual’ – meaning humans play a physical role and machines play a virtual role at the point where work is performed, such as warehouse employees using smart glasses for navigation and picking instructions to boost productivity.
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Physical – Virtual DHL Smart Glasses An example of Instrumenting Human
‘Virtual–physical’ – meaning humans play a virtual role at the point work is performed and machines play a physical role such as doctors performing telepresence surgery.
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Virtual – Physical Health Care Da Vinci Surgical System An example of Instrumenting Human
‘Virtual–virtual’ – meaning both humans and machines play a virtual role such as in call centres, with human agents working in tandem with virtual cognitive agents.
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Virtual – Virtual Virtual Service Desk Amelia Cognitive Agent An example of Socialising Machin
Implications for managers
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Use the 2X2 Matrix Be flexible Find the sweet spot for human–machine collaboration based on the nature of the work.
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Implications for workers
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Be flexible Be adaptable
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What is the aim of the lecture and workshop in Week 3?
To identify types of human-machine collaboration for the enterprise and discuss the implications for the managers and workers.
Linked to ECA Part 1 & ECA Part 2 Assessment Criteria 1.
What are the intended learning outcomes for this week?
What do we mean by instrumenting the human?
What do we mean by socialising the machine?
What are the types of human-machine collaborations in the enterprise?
What are the implications of instrumenting the human and socialising machine for the managers and workers?
Your feedback on the Lecture 3 is much appreciated.
It takes less than 5 minutes.
References:
Evans, N.D., 2017. Mastering digital business. BCS Learning&D
Thank you
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