[Oracle Innovation Summit Tokyo 2018] 生活の中のAI - 東京都港区Chatbot、北海道漁業IoTに見るオラクルのAI活用

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The document discusses artificial intelligence and how it can be applied in various domains including personalizing customer offers, managing employee skills, predictive analytics, chatbots, cybersecurity, and more. It also discusses Oracle's AI and machine learning capabilities for tasks like logistic regression, decision trees, clustering, and anomaly detection. Specific examples are provided around using AI and IoT for food logistics.

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Personalize offers
based on individual
customer
requirements
Increase retention and
job satisfaction
through best match of
employee skills
Manage risk with
predictive scenario
analysis & planning
Eliminate waiting with
context-aware
personalized chatbot
interactions
IT
Automatically detect
threats and stay
ahead of malicious
attacks

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 5
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AI IoT

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
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LIFE WORK COMMUNITY

Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
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Copyright © 2018, Oracle and/or its affiliates. All rights reserved. |
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Oracle Database Cloud Advanced Analytics
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Logistic Regression (GLM)
Decision Trees
Naïve Bayes
Support Vector Machines (SVM)
Linear Regression (GLM)
Support Vector Machine (SVM)
One Class SVM
Minimum Description Length (MDL)
Principal Components Analysis (PCA)
Apriori / NBO(Next Best Offer)
Hierarchical k-Means
Hierarchical O-Cluster
Expectation-Maximization Clustering (EM)
/
-
Nonnegative Matrix Factorization (NMF)
Singular Value Decomposition (SVD)
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A1 A2 A3 A4 A5 A6 A7
F1 F2 F3 F4

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AI #2
AI/IoT

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Oracle Digital

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[Oracle Innovation Summit Tokyo 2018] 生活の中のAI - 東京都港区Chatbot、北海道漁業IoTに見るオラクルのAI活用

1. , 02 1 02 7 8 Oracle Innovation Summit Tokyo 2018

4. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 4 Personalize offers based on individual customer requirements Increase retention and job satisfaction through best match of employee skills Manage risk with predictive scenario analysis & planning Eliminate waiting with context-aware personalized chatbot interactions IT Automatically detect threats and stay ahead of malicious attacks

12. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | Oracle Database Cloud Advanced Analytics ― 12 Logistic Regression (GLM) Decision Trees Naïve Bayes Support Vector Machines (SVM) Linear Regression (GLM) Support Vector Machine (SVM) One Class SVM Minimum Description Length (MDL) Principal Components Analysis (PCA) Apriori / NBO(Next Best Offer) Hierarchical k-Means Hierarchical O-Cluster Expectation-Maximization Clustering (EM) / - Nonnegative Matrix Factorization (NMF) Singular Value Decomposition (SVD) / A1 A2 A3 A4 A5 A6 A7 F1 F2 F3 F4

35. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 35 jpeg/png Grayscale Canny Laplacian 0 5000 10000 15000 20000 25000 30000 35000 40000 45000 50000 1 3 5 7 9 111315171921232527293133353739 • •

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[Oracle Innovation Summit Tokyo 2018] 生活の中のAI - 東京都港区Chatbot、北海道漁業IoTに見るオラクルのAI活用

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[Oracle Innovation Summit Tokyo 2018] 生活の中のAI - 東京都港区Chatbot、北海道漁業IoTに見るオラクルのAI活用