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Vers un monde digital plus intelligent

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Support de ma présentation à l'Artificial Intelligence MeetUp SOPRA STERIA du 21 juin 2016.
Cette présentation a pour objectif de présenter notre vision des opportunités
de la transformation digitale en général et de l’arrivée de l’intelligence
artificielle en particulier.
Elle aborde également l’importance du changement de paradigme, les
impacts profonds sur nos modes de vie et la nécessaires transformation de
nos modèles et des cadres normatifs et légaux.
Elle expose les grands principes, les perspectives technologiques et les
orientations que nous devons prendre en compte dans nos réflexions
d’évolution et dans nos travaux de recherche.

Published in: Technology
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Vers un monde digital plus intelligent

  1. 1. PARIS ARTIFICIAL INTELLIGENCE MEETUP V 1.03 21 juin 2016 1 L’INTELLIGENCE ARTIFICIELLE, MYTHE & RÉALITÉ Meetup IA - 21 juin 2016 - v1.03
  2. 2. VERS UN MONDE DIGITAL PLUS INTELLIGENT 2 FRANÇOIS DUCROT - PARTNER Meetup IA - 21 juin 2016 - v1.03
  3. 3. INTRODUCTION Meetup IA - 21 juin 2016 - v1.033 Cette présentation a pour objectif de présenter notre vision des opportunités de la transformation digitale en général et de l’arrivée de l’intelligence artificielle en particulier. Elle aborde également l’importance du changement de paradigme, les impacts profonds sur nos modes de vie et la nécessaires transformation de nos modèles et des cadres normatifs et légaux. Elle expose les grands principes, les perspectives technologiques et les orientations que nous devons prendre en compte dans nos réflexions d’évolution et dans nos travaux de recherche.
  4. 4. QU’EST-CE QUE LE DIGITAL ? Meetup IA - 21 juin 2016 - v1.034 L’ENRICHISSEMENT DU MONDE PHYSIQUE Connaissance élargie & approfondie Augmentation de la connaissance perçue à travers des données supplémentaires Affinage de la connaissance à travers l’accroissement du niveau de détail 2 Situation Relation Composition Identification de la situation relative des entités dans leur environnement Formalisation des liens entre les différentes entités Formalisation de l’information composée par les éléments liés 3 Volume Virtualisation Partage Perception Passage du monde physique ou mental au digital (classifiable et stockable) Accès aux données sans limite géographique ou temporelle Représentation du monde mental ou physique jusqu’à même sa régénération 1
  5. 5. PASSER DU DIGITAL À LA CONNAISSANCE Meetup IA - 21 juin 2016 - v1.035 SE DONNER LES MOYENS D’APPRENDRE DES DONNÉES Big Data Agréger toutes les données internes et externes, structurées ou non Garder la mémoire des résultats des traitements dans un mode apprenant Science des données Traiter mathématiquement les données Identifier les corrélations statistiques (Analytics) Identifier les liens de cause à effet Apprendre par les comportements de masse (Crowd Learning) 1 Traitement de masse 2 Puissance de calcul Capacités de calcul Coût des traitements Les puissances de calcul continuent à augmenter de façon exponentielle et les évolutions technologiques sont prometteuses (quantique, photonique…) Les coûts de traitement continuent à chuter à la même vitesse que la puissance croît et permettent de donner accès à un traitement d’information à un coût acceptable Base de connaissance universelle partagée
  6. 6. ZOOM SUR LES CAPACITÉS CÉRÉBRALES HUMAINES Meetup IA - 21 juin 2016 - v1.036 GÉRER DES SITUATIONS COMPLEXES Percevoir Analyser Donner un sens Contextualiser Gérer l’ambiguïté Mémoriser Transformer Transmettre Capacitésdetraitementdel’information Identifier un objectif 1 A B CLe décomposer en sous-étapes2 Combiner les capacités pour mener à bien toutes les étapes une à une 3
  7. 7. L’APPROCHE DE L’INTELLIGENCE ARTIFICIELLE Meetup IA - 21 juin 2016 - v1.037 MODÉLISER LE FONCTIONNEMENT DE NOTRE CERVEAU 2 Interactions par le langage Interagir avec la machine Interaction gestuelle Reconnaissance et interaction vocales et textuelles Reconnaissance et interaction par les gestes Reconnaissance spatiale Auto-apprentissage Apprentissage par hypothèses successives, vérification, confirmation et adaptation Raisonnement Décomposition élémentaire, combinatoire puis reconstruction progressive Raisonnement par complexité croissante du plus élémentaire au plus complexe 1 Répliquer les mécanismes cérébraux Imitation Imitation des comportements sans donner de sens immédiatement Interaction par la pensée
  8. 8. PASSER DE CONNAÎTRE À COMPRENDRE Meetup IA - 21 juin 2016 - v1.038 REPRODUIRE NOTRE FACULTÉ À COMPRENDRE 2 Observation / Déduction Compréhension Formalisation de la vision Formaliser des concepts et leurs liens entre eux Être en mesure de les réutiliser et de les appliquer Modéliser notre compréhension Créer une représentation des choses, de l’environnement et du monde Disposer d’une représentation partagée du monde Reconnaissance Reconnaître des schémas récurrents dans les données Identifier des liens entre les récurrences Reconnaître des éléments du monde physique (Images, formes, sons, odeurs…) 1 Apprentissage en profondeur Approche par hypothèses Sur la nature des liens entre les récurrences Sur la reconnaissance des éléments et leurs liens Vérifier les hypothèses dans une démarche apprenante
  9. 9. AGIR À TRAVERS L’HOMME AUGMENTÉ Meetup IA - 21 juin 2016 - v1.039 COOPÉRER AVEC LA MACHINE DANS LE MONDE RÉEL Robots intelligents Créer des machines intelligentes capables d’accomplir des tâches physiques Rendre les machines autonomes et apprenantes dans leur périmètre 1 Transposer l’IA dans le monde physique 2 Assister l’humain Interface Homme Machine Doter les machines de capacités d’interactions avec l’humain Robotisation des tâches Confier aux robots les tâches sans valeur ajoutée humaine Confier aux robots les tâches consommatrices de temps Confier aux robots les tâches à risque humain supérieur au risque machine Intégration dans la vie quotidienne Transformer les robots en assistants intelligents Rendre proactifs et autonomes ces assistants Rendre transparente l’intervention de la machine intelligente
  10. 10. S’ADAPTER A LA TRANSFORMATION QUI S’ACCÉLÈRE Meetup IA - 21 juin 2016 - v1.0310 REPENSER NOS MODÈLES ET NOS ÉQUILIBRES Combiner l’homme et la machine Intégrer l’IA dans nos organisations, processus et fonctionnement Refondre nos modèles de fonctionnement dans un monde assisté par l’IA 1 Intégrer le digital dans nos réflexions Identifier la création de valeur Confronter les nouveaux modèles aux enjeux vitaux de notre monde (Santé, environnement, alimentation, conditions de vie) Décliner les modèles sur les domaines sociétaux (Travail, finance, politique, transport, loisirs) 2 Définir un cadre adapté Évolution de l’éthique Adaptation des normes, règles et de la déontologie au monde digital Évolution des organes de contrôle du monde digital collaboratif (Block Chain) Évolution du cadre légal Adaptation des lois sur le fond, sur leur cadre et leurs modalités d’application Définition des cadres de responsabilité des activités humaines liées l’intervention des machines intelligentes autonomes Accompagner le changement de paradigme

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