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PRESENTATION OUTLINE

ON MACHINE INTELLIGENCE

M6135 HOSPITALITY AND THE DIGITAL DISRUPTION
Photo by extension 504

"ENTERPRISE INTELLIGENCE"

EMPOWERING TALENT AND USING NEW DATA
Previous ceo tools available to a larger range of employees (forecasting, coaching, training etc)

Next step:

Volume of data to be analysed
Speed of analysis
Cost of analysis

Machine learning 2016 5 bullions usd investment

Same as internet in the 90’s
Photo by Samuel Zeller

WHEN MODELS LEARN

A SHIFT FROM PROGRAMMATION TO SELF-LEARNING: THE BIRTH OF "IDIOT SAVANTS"
Combination of applications, data and models where models are business rules (approval protocoles) that could be created by machines compared to previously only humans

Idiots savants: machines as narrowly focused employees with great memory and analytical skills but not so great social skills
Photo by kevin dooley

TRUSTING MODELS

RISK, POWER LEVEL AND BUSINESS DECISIONS
Photo by Leio McLaren

7 STEPS OF SMART SERVICES

  • Perception
  • Notification
  • Suggestion
  • Automation
  • Prediction
  • Prevention
  • Situational Awareness
Based on case of AI-enabled hospitals
Photo by Chris Nguyen

5 KEY CONDITIONS FOR SMART SERVICES

  • A digital footprint
  • Context attributes
  • Anticipatory analytics
  • Value exchange
  • Cadence of delivery
Immersive experience enabling natural/familiar interactions
Designing experiences on the fly
Delivery: one time, ad-hoc, repetitive, subscription-based, threshold driven

AUGMENTING HUMAN INTELLIGENCE

... JUST AS MACHINES AUGMENTED PHYSICAL CAPABILITIES
Augmenting or replacing?
Photo by Markus Spiske

FROM RESPONSIVE TO PREDICTIVE COMMERCE

PERSONALISED AND LIVE CONTENT
Predictive stocking in retail

Store window while passing by
New shoes Strava

New ecosystem for commerce holistic/integrated built around the human rather than built around a particular device/app/brand
Consolidation?
What about privacy? Data protection?
Is the enhancement worth it? The consumer will respond

Bottom line: value proposition

THE CASE OF "STITCH FIX"

HUMANS, "AUTO-STYLER" AND "FRANKENSTYLES"
250 mio usd in revenue in 2015 and growing

Combining AI and human expertise (2800 stylists)

Parallel with travel agencies

Lives and dies by the quality of the suggestions

Using structured and unstructured data
Photo by djwtwo

BE GOOD TO BOTS

TAY, XIAOICE, DATA STEWARDS
Photo by danmachold

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PRACTICING MACHINE INTELLIGENCE

A NEW BUSINESS DISCIPLINE

Alain Imboden

Haiku Deck Pro User