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.