Uploaded by Xiaoxuan Liu

AIDI Models1

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Artificial Intelligence & Digital Innovation
Models you may use for your poster
What innovative technology / what value ?
DARQ
AI
Blockchain
Distributed Ledgers
Quantum computing
AR
MR
VR
The internet of things
Cybersecurity
Robot
Automation
5G
Mobile devices (apps)
As-a-service
The theory of multiple intelligences
and Emotional intelligence !
Emotional AI ?
Daniel Goleman
Types of AI towards value creation
By business capabilities
Process automation
Cognitive insight
Cognitive engagement
•
Back-office admin.
•
Patterns recognition
•
Chatbots / Voicebots
•
Financial activities
•
Customer analytics
•
Machine Learning
•
Industrial tasks
•
Machine learning
•
Online shopping
•
Warehousing
•
Deep learning
•
Medical diagnosis
… what value ???
(Davenport and Ronanki, cited in HBR, 2021)
Level
SUPERVISED LEARNING
1
INFERENTIAL STATS
Level
2
-> CONCLUSIONS
STATISTICS &
DATA MINING
-> CLASSIFICATION
•
Ordering databases in categories
•
Election polling
•
Pictures of Bedrooms / Spa rooms
•
Survey
•
•
RM Competitive Set
Pictures of Restaurant / Meeting
rooms
MACHINE
LEARNING
UNSUPERVISED LEARNING
DESCRIPTIVE STATS
-> PATTERNS WITHIN DATA
-> BASIC STATS
•
Clustering
•
Best selling room type
•
In groups not known in advance
•
Last Year ADR
•
Hotel’s pictures per point of sales
•
Total Revenue of last
month
SEMI-SUPERVISED LEARNING
DATA MINING
-> PATTERNS
•
General Market stats
(STR report)
•
GOP of hotels in
Geneva per month
-> QUERIES THE USER
WHEN STUCK
APPROACHES
•
Optimised recommendations
(Netflix, Amazon)
•
Booking recommendations for
next stay ?
Level
3
(Yao et al., 2018)
REINFORCEMENT LEARNING
PROBABILISTIC
LEARNING
FUTURE
TRENDS
-> TRIAL & ERROR
•
Learns itself and adapt according
to results
= “REASONING SYSTEM”
Whole Brain Uploading
-> USES PRIOR KNOWLEDGE WHEN STUCK
•
Inferential Statistics x Reinforcement Learning
•
Medical diagnosis
•
Financial predictions / Weather forecasting
DEEP LEARNING
ral
Neu ks
or
N e tw
-> INTERCONNECTED LAYERS
•
AlphaGO who beat humans at
Go game
The Business Technology domains
MARKETING
Customer
Interfacing
Technology
Product
Technology
Data
Security
Infrastructure
Operational
Technology
(adapted from Huovinen J. and al., 2021)
Business
Process
Technology
S.O.P.s
Operating model to create value
VA L U E
STREAMS
INCREASE DIGITALISATION
PLAN
BUILD
RUN
Portfolios &
Roadmaps
Design Solution
Service & Support
Develop Solution
Service Operations
Operational Readiness
Service Integration
Innovations &
Concepts
EXPERIENCE
SERVICES
RELEASE
DEVELOPMENT
REQUEST
REDUCE RISKS
O P E R AT I O N A L
TECHNOLOGY
DEMAND
ENSURE BUSINESS VALUE
Strategy & Governance
CUSTOMER
I N T E R FA C I N G
TECHNOLOGY
BUSINESS
PROCESS
TECHNOLOGY
VA L U E
DRIVERS
L O YA LT Y
LEADERSHIP
QUALITY &
COST
LEADERSHIP
D ATA
LEADERSHIP
Sourcing & Optimisation
IMPROVE EFFICIENCY
(adapted from Huovinen J. and al., 2021)
References
Oppy, Graham and David Dowe (2020) "The Turing Test", The Stanford Encyclopedia of Philosophy (Winter 2020 Edition),
Edward N. Zalta (ed.), [online] available at <https://plato.stanford.edu/archives/win2020/entries/turing-test/>.
Sigala, M., Rahimi R., Thelwall M. (2019) Big Data and Innovation in Tourism, Travel, and Hospitality Managerial
Approaches, Techniques, and Applications, Springer.
Yao M., Zhou A., Jia M., Zhang N. (2018) Applied Artificial Intelligence: A Handbook for Business Leaders, Topbot.
Harvard Business Review (2019) On AI, Analytics, and the New Machine Age, Harvard Business Publishingn Corporation.
Huovinen,J., Kolesnik K., Eckstein T., Russel N., Maijala S., Savolainen T., Pitkänen P. (2021) Business Technology
Standard: Version 4.5.1, Business Technology forum [ebook], available at [https://www.managebt.org/content//uploads/
Business-Technology-Standard-20210421.pdf]
Bossen K. (2020) Emotion AI - the artificial emotional intelligence, Dmexco [online article] last assessed the 21st of May,
2021, available at [https://dmexco.com/stories/emotion-ai-the-artificial-emotional-intelligence/
#:~:text=Emotion%20AI%2C%20also%20known%20as,emotive%20channels%20of%20human%20communication.]
Somers M. (2019) Emotion AI, explained. MIT [online] available at [https://mitsloan.mit.edu/ideas-made-to-matter/emotionai-explained].
Picard R.W. (1995) Affective Computing. MIT Media laboratory Perceptual Computing Section Technical Report No.321,
revised November 26, 1995.
Olah C. (2015) Understanding LSTM Networks. Olah’s blog [blog] available at [https://colah.github.io/posts/2015-08Understanding-LSTMs/] last assessed May 21st, 2021.
Kalchbrenner N. (2016) Grid Long Short-Term Memory. Google Deepmind, UK. [conference paper] ICLR 2016.
Hopkin, P. (2015) Fundamentals of Risk Management: Understanding, evaluating and implementing effective risk
management. 3rd Ed. London, KoganPage
Searle, J.R. (1980) ‘Minds, Brains, and Programs’, Behavioural and Brain Sciences, vol.3, pp.417-424.
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