AI Conversational Robo-Advisor with Finance Big Data Analytics - - PowerPoint PPT Presentation

▶
ai conversational robo advisor with finance big data
SMART_READER_LITE
LIVE PREVIEW

AI Conversational Robo-Advisor with Finance Big Data Analytics - - PowerPoint PPT Presentation

Dec 26, 2023 125 likes •945 views

Tamkang University AI Conversational Robo-Advisor with Finance Big Data Analytics Host: Prof. Yung-Chun Chang, Graduate Institute of Data Science, Taipei Medical University Time: 13:10-15:00, 2019/10/30 (Wednesday) Place: B202, Dann campus,

slide-1
SLIDE 1 1 Tamkang University

AI Conversational Robo-Advisor with Finance Big Data Analytics

Host: Prof. Yung-Chun Chang,

Graduate Institute of Data Science, Taipei Medical University Time: 13:10-15:00, 2019/10/30 (Wednesday) Place: B202, Dann campus, TMU Address: No.172-1, Sec. 2, Keelung Rd., Taipei, Taiwan

Min-Yuh Day Associate Professor

  • Dept. of Information Management,

Tamkang University

http://mail. tku.edu.tw/myday/ 2019-10-30
slide-2
SLIDE 2

Min-Yuh Day, Ph.D.

Associate Professor, Information Management, TKU Visiting Scholar, IIS, Academia Sinica Ph.D., Information Management, NTU

Publications Co-Chairs, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013- ) Program Co-Chair, IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2012- ) Workshop Chair, The IEEE International Conference on Information Reuse and Integration (IEEE IRI)

2
slide-3
SLIDE 3

Outline

  • AI Robo-Advisor in FinTech
  • Conversational Commerce
  • AI Humanoid Robo-Advisor
3
slide-4
SLIDE 4

AI Robo-Advisor in FinTech

4
slide-5
SLIDE 5

AIWISFIN AI Conversational Robo-Advisor ()

5 https://www.youtube.com/watch?v=sEhmyoTXmGk

First Place, InnoServe Awards 2018

slide-6
SLIDE 6
  • Annual ICT application competition held for

university and college students

  • The largest and the most significant contest in

Taiwan.

  • More than ten thousand teachers and

students from over one hundred universities and colleges have participated in the Contest.

6

2018 The 23th International ICT Innovative Services Awards (InnoServe Awards 2018)

https://innoserve.tca.org.tw/award.aspx
slide-7
SLIDE 7

2018 International ICT Innovative Services Awards (InnoServe Awards 2018) (201823)

7 https://innoserve.tca.org.tw/award.aspx
slide-8
SLIDE 8 8

IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task

NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan Tamkang University
slide-9
SLIDE 9 NTCIR-9 Workshop, December 6-9, 2011, Tokyo, Japan myday@mail.tku.edu.tw

Department of Information Management Tamkang University, Taiwan

Chun Tu

Min-Yuh Day

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE

Tamkang University Tamkang University

2011

slide-10
SLIDE 10

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE-2

Tamkang University

myday@mail.tku.edu.tw NTCIR-10 Conference, June 18-21, 2013, Tokyo, Japan

Department of Information Management Tamkang University, Taiwan

Chun Tu Hou-Cheng Vong Shih-Wei Wu Shih-Jhen Huang

Min-Yuh Day

Tamkang University

2013

slide-11
SLIDE 11

Ya-Jung Wang Min-Yuh Day

Che-Wei Hsu Huai-Wen Hsu

En-Chun Tu

IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-11 RITE-VAL

2014

Yu-Hsuan Tai

Shang-Yu Wu Cheng-Chia Tsai NTCIR-11 Conference, December 8-12, 2014, Tokyo, Japan

Tamkang University

Yu-An Lin

slide-12
SLIDE 12

IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2

myday@mail.tku.edu.tw NTCIR-12 Conference, June 7-10, 2016, Tokyo, Japan Min-Yuh Day Cheng-Chia Tsai Wei-Chun Chung Hsiu-Yuan Chang Yuan-Jie Tsai Jin-Kun Lin Yue-Da Lin Wei-Ming Chen Yun-Da Tsai Cheng-Jhih Han Yi-Jing Lin Yu-Ming Guo Tzu-Jui Sun Yi-Heng Chiang Ching-Yuan Chien

Department of Information Management Tamkang University, Taiwan

Cheng-Hung Lee Tamkang University

2016

Sagacity Technology
slide-13
SLIDE 13

IMTKU Question Answering System for World History Exams at NTCIR-13 QALab-3

myday@mail.tku.edu.tw NTCIR-13 Conference, December 5-8, 2017, Tokyo, Japan

Department of Information Management Tamkang University, Taiwan

Tamkang University Yue-Da Lin I-Hsuan Huang Wanchu Huang Shi-Ya Zheng Tz-Rung Chen Min-Chun Kuo Yi-Jing Lin

2017

Min-Yuh Day Chao-Yu Chen
slide-14
SLIDE 14

IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task

myday@mail.tku.edu.tw

Department of Information Management Tamkang University, Taiwan

Tamkang University

2019

NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan Chi-Sheng Hung Min-Yuh Day Yi-Jun Xie Jhih-Yi Chen Yu-Ling Kuo Jian-Ting Lin
slide-15
SLIDE 15

Artificial Intelligence (AI)

15
slide-16
SLIDE 16

AI, Big Data, Cloud Computing Evolution of Decision Support, Business Intelligence, and Analytics

16 1970s 1980s 1990s 2000s 2010s Routine Reporting AI/Expert Systems Decision Support Systems Relational DBMS On-Demand Static Reporting Enterprise Resource Planning Data Warehousing Dashboards & Scorecards Executive Information Systems Cloud Computing, SaaS Data/Text Mining Business Intelligence Big Data Analytics In-Memory, In-Database Social Network/Media Analytics Decision Support Systems Enterprise/Executive IS Business Intelligence Analytics Big Data ... Source: Ramesh Sharda, Dursun Delen, and Efraim Turban (2017), Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th Edition, Pearson

AI Cloud Computing Big Data DM BI AI

slide-17
SLIDE 17

AI in FinTech

17
slide-18
SLIDE 18

Robo-Advisors

18
slide-19
SLIDE 19

FinTech high-level classification

19

Lending Payments Analytics Robo Advisors Others Profile Advice Re-Balance Indexing

Source: Paolo Sironi (2016), “FinTech Innovation: From Robo-Advisors to Goal Based Investing and Gamification”, Wiley.
slide-20
SLIDE 20

Wealthfront

Financial Planning & Robo-Investing for Millennials

20 https://www.wealthfront.com/
slide-21
SLIDE 21

Betterment Online Financial Advisor

21 https://www.betterment.com/
slide-22
SLIDE 22

Financial Advisor FinTech Solutions

22 Source: https://www.kitces.com/fintechmap
slide-23
SLIDE 23

From Algorithmic Trading to Personal Finance Bots: 41 Startups Bringing

AI to Fintech

23 Source: https://www.cbinsights.com/blog/artificial-intelligence-fintech-market-map-company-list/
slide-24
SLIDE 24

From Algorithmic Trading To Personal Finance Bots: 41 Startups Bringing AI To Fintech

24 Source: https://www.cbinsights.com/blog/artificial-intelligence-fintech-market-map-company-list/

AI in Fintech

slide-25
SLIDE 25 25 Source: https://www.cbinsights.com/blog/artificial-intelligence-fintech-market-map-company-list/

Artificial Intelligence (AI) in Fintech

slide-26
SLIDE 26 26 Source: https://www.cbinsights.com/blog/artificial-intelligence-fintech-market-map-company-list/

Artificial Intelligence (AI) in Fintech

slide-27
SLIDE 27

FinTech

27
slide-28
SLIDE 28

Financial Technology FinTech “providing financial services by making use of software and modern technology”

28 Source: https://www.fintechweekly.com/fintech-definition
slide-29
SLIDE 29

Financial Services

29
slide-30
SLIDE 30

Financial Services

30 Source: http://www.crackitt.com/7-reasons-why-your-fintech-startup-needs-visual-marketing/
slide-31
SLIDE 31

FinTech: Financial Services Innovation

31 Source: http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf
slide-32
SLIDE 32

FinTech:

Financial Services Innovation

  • 1. Payments
  • 2. Insurance
  • 3. Deposits & Lending
  • 4. Capital Raising
  • 5. Investment Management
  • 6. Market Provisioning
32 Source: http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf
slide-33
SLIDE 33

FinTech: Investment Management

33 Source: http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf

5

slide-34
SLIDE 34 34 Source: https://www.stockfeel.com.tw/2015/

FinTech: Investment Management Empowered Investors Process Externalization

5

slide-35
SLIDE 35

FinTech: Market Provisioning

35 Source: http://www3.weforum.org/docs/WEF_The_future__of_financial_services.pdf

6

slide-36
SLIDE 36 36 Source: https://www.stockfeel.com.tw/2015/

FinTech: Market Provisioning Smarter, Faster Machines New Market Platforms

6

slide-37
SLIDE 37

The New Alpha: 30+ Startups Providing Alternative Data For Sophisticated Investors

37 Source: https://www.cbinsights.com/blog/alternative-data-startups-market-map-company-list/

New sources of data mined by startups like Foursquare, Premise, and Orbital Insight are letting investors understand trends before they happen.

slide-38
SLIDE 38

The New Alpha: 30+ Startups Providing Alternative Data For Sophisticated Investors

38 Source: https://www.cbinsights.com/blog/alternative-data-startups-market-map-company-list/
slide-39
SLIDE 39

Conversational Commerce

39
slide-40
SLIDE 40

AI Chatbot for Conversational Commerce

40
slide-41
SLIDE 41

Chatbots: Evolution of UI/UX

41 Source: https://bbvaopen4u.com/en/actualidad/want-know-how-build-conversational-chatbot-here-are-some-tools
slide-42
SLIDE 42

Chatbot

Dialogue System Intelligent Agent

42
slide-43
SLIDE 43

Chatbot

43 Source: https://www.mdsdecoded.com/blog/the-rise-of-chatbots/
slide-44
SLIDE 44

Dialogue System

44 Source: Serban, I. V., Lowe, R., Charlin, L., & Pineau, J. (2015). A survey of available corpora for building data-driven dialogue systems. arXiv preprint arXiv:1512.05742.
slide-45
SLIDE 45

Can machines think?

(Alan Turing ,1950)

45 Source: Cahn, Jack. "CHATBOT: Architecture, Design, & Development." PhD diss., University of Pennsylvania, 2017.
slide-46
SLIDE 46

Chatbot

“online human-computer dialog system with natural language.”

46 Source: Cahn, Jack. "CHATBOT: Architecture, Design, & Development." PhD diss., University of Pennsylvania, 2017.
slide-47
SLIDE 47

Chatbot Conversation Framework

47 Source: https://chatbotslife.com/ultimate-guide-to-leveraging-nlp-machine-learning-for-you-chatbot-531ff2dd870c
slide-48
SLIDE 48

From E-Commerce to Conversational Commerce: Chatbots and Virtual Assistants

48 Source: http://www.guided-selling.org/from-e-commerce-to-conversational-commerce/
slide-49
SLIDE 49

Conversational Commerce: eBay AI Chatbots

49 Source: https://www.forbes.com/sites/rachelarthur/2017/07/19/conversational-commerce-ebay-ai-chatbot/
slide-50
SLIDE 50

Hotel Chatbot

50 Source: https://sdtimes.com/amazon/guest-view-capitalize-amazon-lex-available-general-public/
slide-51
SLIDE 51 51 Source: http://www.guided-selling.org/from-e-commerce-to-conversational-commerce/

H&M’s Chatbot on Kik

slide-52
SLIDE 52 52 Source: http://www.guided-selling.org/from-e-commerce-to-conversational-commerce/

Uber’s Chatbot on Facebook’s Messenger

Uber’s chatbot on Facebook’s messenger
  • one main benefit: it loads much faster than the Uber app
slide-53
SLIDE 53

Savings Bot

53 Source: https://chatbotsmagazine.com/artificial-intelligence-ai-and-fintech-part-1-7cae1e67dc13
slide-54
SLIDE 54

Mastercard Makes Commerce More Conversational

54 Source: https://newsroom.mastercard.com/press-releases/mastercard-makes-commerce-more-conversational-with-launch-of-chatbots-for-banks-and-merchants/
slide-55
SLIDE 55

Chatbots Bot Maturity Model

55 Source: https://www.capgemini.com/2017/04/how-can-chatbots-meet-expectations-introducing-the-bot-maturity/

Customers want to have simpler means to interact with businesses and get faster response to a question or complaint.

slide-56
SLIDE 56

Bot Life Cycle and Platform Ecosystem

56
slide-57
SLIDE 57

The Bot Lifecycle

57 Source: https://chatbotsmagazine.com/the-bot-lifecycle-1ff357430db7
slide-58
SLIDE 58 58 Source: https://www.oreilly.com/ideas/infographic-the-bot-platform-ecosystem
slide-59
SLIDE 59 59 Source: https://www.oreilly.com/ideas/infographic-the-bot-platform-ecosystem
slide-60
SLIDE 60 60 Source: https://venturebeat.com/2016/08/11/introducing-the-bots-landscape-170-companies-4-billion-in-funding-thousands-of-bots/
slide-61
SLIDE 61 61 Source: https://medium.com/@RecastAI/2017-messenger-bot-landscape-a-public-spreadsheet-gathering-1000-messenger-bots-f017fdb1448a /
slide-62
SLIDE 62

IMTKU System Architecture for NTCIR-13 QALab-3

62 Question (XML)

Question Analysis Document Retrieval Answer Extraction Answer Generation

Stanford CoreNLP JA&EN Translator

Wikipedia

Answer (XML)

Complex Essay Simple Essay True-or-False Factoid Slot-Filling Unique Word Embedding Wiki Word2Vec

NTCIR-13 Conference, December 5-8, 2017, Tokyo, Japan
slide-63
SLIDE 63

System Architecture of Intelligent Dialogue and Question Answering System

63

Question Analysis Document Retrieval Answer Extraction Answer Generation Answer Validation

Python NLTK Deep Learning TensorFlow IR

Dialogue KB

Deep Learning Answer

Dialogue Intention Detection User Question Input System Response Generator AIML KB AIML Dialogue Engine Real Time Dialogue API Cloud Resource

RNN LSTM GRU
slide-64
SLIDE 64

IMTKU Emotional Dialogue System Architecture

64

Retrieval-Based Model Generation- Based Model Emotion

Classification

Model Response Ranking

NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan

4 3 1 2

slide-65
SLIDE 65

The system architecture of IMTKU retrieval-based model for NTCIR-14 STC-3

65 NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan

Post Retrieval- Based Response Corpus Keyword Boolean Query Solr Matching Distinct Result Data Building Index Word Segmentation Emotion Classification Word2Vec Similarity Ranking Emotion Matching

Retrieval Model

Retrieval-Based Model

1

slide-66
SLIDE 66

The system architecture of IMTKU generation-based model for NTCIR-14 STC-3

66 NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan

Post Generation-Based Response Training Data Seq2seq model Word Embedding Trained Model Building Word Index Word Segmentation Short Text Emotion Classifier Word2Vec Similarity Ranking Emotion Matching Training Data

Generation-Based Model

Generative Model

2

slide-67
SLIDE 67

The system architecture of IMTKU emotion classification model for NTCIR-14 STC-3

67 NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan

Corpus Emotion Prediction Emotion Classification Model Testing Dataset Training Dataset MLP LSTM BiLSTM Emotion Classification

Emotion Classification Model

3

slide-68
SLIDE 68 68 NTCIR-14 Conference, June 10-13, 2019, Tokyo, Japan STC3 Corpus Chinese Segmentation using Jieba Stop Words Removal Word2Vec 1.2 million data (300 dimensions) Vector of Corpus

Response Ranking

The system architecture of IMTKU Response Ranking for NTCIR-14 STC-3

4

slide-69
SLIDE 69

Short Text Conversation Task (STC-3) Chinese Emotional Conversation Generation (CECG) Subtask

69 Source: http://coai.cs.tsinghua.edu.cn/hml/challenge.html
slide-70
SLIDE 70

NTCIR Short Text Conversation STC-1, STC-2, STC-3

70 Source: https://waseda.app.box.com/v/STC3atNTCIR-14
slide-71
SLIDE 71

AI Humanoid Robo-Advisor

71
slide-72
SLIDE 72

AI Humanoid Robo-Advisor

for Multi-channel Conversational Commerce

72

AI Portfolio Asset Allocation AI Conversation Dialog System Multichannel Platforms Web LINE Facebook Humanoid Robot

slide-73
SLIDE 73

System Architecture of AI Humanoid Robo-Advisor

73 AI Humanoid Robo-advisor
slide-74
SLIDE 74

Conversational Model

(LINE, FB Messenger)

74
slide-75
SLIDE 75

Conversational Robo-Advisor Multichannel UI/UX Robots

75

ALPHA 2 ZENBO

slide-76
SLIDE 76

Portfolio Performance in 2016 Annual Portfolio Statistics

76 Black-Litterman Portfolio
  • the LSTM
Investor Views Markowitz Portfolio Equally Weighted Portfolio S&P 500 Index Annual return 16.151% 15.172% 12.428% 9.643% Annual volatility 13.897% 14.365% 15.870% 13.169% Sharpe ratio 1.14697 1.05534 0.81762 0.76492 Stability 0.82500 0.82515 0.82514 0.78754 Max drawdown
  • 10.105%
  • 10.465%
  • 12.529%
  • 10.306%
Skew
  • 0.35652
  • 0.52985
  • 0.56976
  • 0.36795
Kurtosis 2.49845 3.00613 2.41894 2.21958 Daily value at risk
  • 1.688%
  • 1.750%
  • 1.948%
  • 1.619%
Alpha 0.06445 0.05354 0.02158 0.00000 Beta 1.01485 1.04816 1.15631 1.00000 Information ratio 0.10935 0.09129 0.04655
  • Source: Min-Yuh Day, Tun-Kung Cheng and Jheng-Gang Li (2018), "AI Robo-Advisor with Big Data Analytics for Financial Services", in Proceedings of the 2018
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
slide-77
SLIDE 77

Portfolio Cumulative Returns

77 Source: Min-Yuh Day, Tun-Kung Cheng and Jheng-Gang Li (2018), "AI Robo-Advisor with Big Data Analytics for Financial Services", in Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
slide-78
SLIDE 78

Cumulative Returns Markowitz v.s. Black-litterment

78 Source: Min-Yuh Day, Jian-Ting Lin and Yuan-Chih Chen (2018), "Artificial Intelligence for Conversational Robo-Advisor", in Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018
slide-79
SLIDE 79

Summary

  • AI Robo-Advisor in FinTech
  • Conversational Commerce
  • AI Humanoid Robo-Advisor
79
slide-80
SLIDE 80

References

  • Day, Min-Yuh and Chi-Sheng Hung, "AI Affective Conversational Robot with Hybrid Generative-based and Retrieval-based
Dialogue Models", in Proceedings of The 20th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2019), Los Angeles, CA, USA, July 30 - August 1, 2019.
  • Day, Min-Yuh, Chi-Sheng Hung, Yi-Jun Xie, Jhih-Yi Chen, Yu-Ling Kuo and Jian-Ting Lin (2019), "IMTKU Emotional Dialogue
System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task", The 14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14), Tokyo, Japan, June 10-13, 2019.
  • Day, Min-Yuh, Jian-Ting Lin and Yuan-Chih Chen. “Artificial Intelligence for Conversational Robo-Advisor.” submitted to
MSNDS 2018 in the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
  • Day, Min-Yuh, Tun-Kung Cheng and Jheng-Gang Li (2018), "AI Robo-Advisor with Big Data Analytics for Financial Services",
in Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
  • Day, Min-Yuh, Chao-Yu Chen, Wan-Chu Huang, I-Hsuan Huang and Shi-Ya Zheng, Tz-Rung Chen, Min-Chun Kuo, Yue-Da Lin,
and Yi-Jing Lin. "IMTKU Question Answering System for World History Exams at NTCIR-13 QA Lab-3." The 13th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-13), Tokyo, Japan, December 5-8, 2017.
  • Kato, Makoto P., and Yiqun Liu,. "Overview of NTCIR-13." In Proceedings of the 13th NTCIR Conference, 2017.
  • Huang, Minlie, Zuoxian Ye, and Hao Zhou. "Overview of the NLPCC 2017 Shared Task: Emotion Generation Challenge."
In National CCF Conference on Natural Language Processing and Chinese Computing (NLPCC), pp. 926-936. Springer, Cham, 2017.
  • Zhou, Hao, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, and Bing Liu. "Emotional chatting machine: emotional
conversation generation with internal and external memory." arXiv preprint arXiv:1704.01074 (2017).
  • Yu, Kai, Zijian Zhao, Xueyang Wu, Hongtao Lin, and Xuan Liu. "Rich Short Text Conversation Using Semantic Key Controlled
Sequence Generation." IEEE/ACM Transactions on Audio, Speech, and Language Processing (2018).
  • Borah, Bhriguraj, Dhrubajyoti Pathak, Priyankoo Sarmah, Bidisha Som, and Sukumar Nandi. "Survey of Textbased Chatbot
in Perspective of Recent Technologies." In International Conference on Computational Intelligence, Communications, and Business Analytics, pp. 84-96. Springer, Singapore, 2018. 80
slide-81
SLIDE 81 81 Tamkang University

AI Conversational Robo-Advisor with Finance Big Data Analytics

Host: Prof. Yung-Chun Chang,

Graduate Institute of Data Science, Taipei Medical University Time: 13:10-15:00, 2019/10/30 (Wednesday) Place: B202, Dann campus, TMU Address: No.172-1, Sec. 2, Keelung Rd., Taipei, Taiwan

Min-Yuh Day Associate Professor

  • Dept. of Information Management,

Tamkang University

http://mail. tku.edu.tw/myday/ 2019-10-30

Q & A