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CW
IN
CAPGEMINI
WEEK OF
INNOVATION
NETWORKS
1. Artificial Intelligence
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 2Presentation Title | Author | Date © 2018 Capgemini. All rights reserved.
Before talking about Artificial Intelligence…
Do You believe we can
automate this
process?
How about when we
feel smart?
How practically we can
“connect the dots”?
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 3
Customer
Experience
Automation
Personalization @
Scale
UX- UI
Smart
Device
Robotics
RPA
Chat bots or
Voice bots
Natural
Language
Generation
Semantic
Technology
Biometrics
Deep
Learning
Speech
Recognition
Image and
Video analysis
Machine
Learning
…and what then about AI
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 4
…education to leverage Artificial Intelligence?
« …Teachers, leave them kids alone…»
…Rules… Experiences…
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 5
…and the role of Humans?
…maybe You remember the Mechanical Turk…
…and maybe You get to know the
Digital Version of that…
…The Human API…
…and the Train @ scale…
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 6
“Old”
Paradigm
Programming
Expert system that simulates
the human decision process
basing the decision on
predetermined rules by
humans.
Recent Past
Paradigm
Machine
Learning
Machine learning can keep HIT in
tree ways:
1. Explaining what data sources are
responsible for the final decision;
2. Training and Tuning the model;
3. Giving the last word to humans.
Machine learns rules from data
…Human-in-the-loop (HIT)…
On the way
Paradigm
Human-Machine
Intelligence
1. Collect unavailable data by
crowdworking
2. Choose best neural network
architecture;
3. Reinforcement learning is
performed by feedback given
from data or human.
Human build human intelligence into
machine learning process.
We are here
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 7
Programming Machine
Learning
…to Train the artificial intelligence solution…
Human-Machine
Intelligence
Collect
data
Validate
data
Manual data
generation
Intelligent data
generation
Generative data by
Neural Network
Insert rules
Into expert system
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved.
…keeping in mind Utility Functions…the Ys and its ethics
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 9
…riding on AI on the Edge
…Machine talking to machines…
…to substitute traditional Software
coding……….
..Your own Personal Assistant…
…Explicability…
…DoE…the DNA of everything
Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 10Presentation Title | Author | Date © 2018 Capgemini. All rights reserved.
Contacts
Massimo Ippoliti
Insights & Data Practice Director
massimo.ippoliti@capgemini.com

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Ai current use-and-future-opportunities

  • 2. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 2Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. Before talking about Artificial Intelligence… Do You believe we can automate this process? How about when we feel smart? How practically we can “connect the dots”?
  • 3. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 3 Customer Experience Automation Personalization @ Scale UX- UI Smart Device Robotics RPA Chat bots or Voice bots Natural Language Generation Semantic Technology Biometrics Deep Learning Speech Recognition Image and Video analysis Machine Learning …and what then about AI
  • 4. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 4 …education to leverage Artificial Intelligence? « …Teachers, leave them kids alone…» …Rules… Experiences…
  • 5. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 5 …and the role of Humans? …maybe You remember the Mechanical Turk… …and maybe You get to know the Digital Version of that… …The Human API… …and the Train @ scale…
  • 6. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 6 “Old” Paradigm Programming Expert system that simulates the human decision process basing the decision on predetermined rules by humans. Recent Past Paradigm Machine Learning Machine learning can keep HIT in tree ways: 1. Explaining what data sources are responsible for the final decision; 2. Training and Tuning the model; 3. Giving the last word to humans. Machine learns rules from data …Human-in-the-loop (HIT)… On the way Paradigm Human-Machine Intelligence 1. Collect unavailable data by crowdworking 2. Choose best neural network architecture; 3. Reinforcement learning is performed by feedback given from data or human. Human build human intelligence into machine learning process. We are here
  • 7. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 7 Programming Machine Learning …to Train the artificial intelligence solution… Human-Machine Intelligence Collect data Validate data Manual data generation Intelligent data generation Generative data by Neural Network Insert rules Into expert system
  • 8. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. …keeping in mind Utility Functions…the Ys and its ethics
  • 9. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 9 …riding on AI on the Edge …Machine talking to machines… …to substitute traditional Software coding………. ..Your own Personal Assistant… …Explicability… …DoE…the DNA of everything
  • 10. Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. 10Presentation Title | Author | Date © 2018 Capgemini. All rights reserved. Contacts Massimo Ippoliti Insights & Data Practice Director massimo.ippoliti@capgemini.com