AI applications

Theory vs Practice

AI, Machine Learning & Data Science

2

The AI ecosystem

3

FPT.AI

4

Speech

Speech recognition

Speech synthesis

Natural language understanding

Language modeling

Entity extraction

Intent detection

Automated conversation

Dialogue management

Chatbot templates

Data connectors

Knowledge

Persistent knowledge bases

Natural query parser

Updaters

Vision

Document recognition

Face recognition

FPT.AI performance

5

Intent detection (English) FPT.AI Wit.ai IBM Watson MS LUIS

F1 91.0 92.0 93.2 90.4

Nested entity extraction (Genia) FPT.AI Neural Layered Model*

Layer-1 F1 74.2 71.3

Layer-2 F1 50.2 37.2

*A Neural Layered Model for Nested Named Entity Recognition. Ju, Miwa & Ananiadou. NAACL-HLT 2018.

Vietnamese Speech recognition WER Hybrid End-to-end NN Google

Noisy speech 6.8 10.8 14.8

Reading 7.4 11.3 12.8

ID card recognition Accuracy

ID Number 98.25%

Name 93.75%

Date of birth 98.75%

Address 92.75%

The limit of AI

The limit of Deep Learning

8

Peer group comparison

9

Anomaly detection

Data management platform

• Active user base: 30 million, 2 billion sessions per year.

• Extra service: ads optimization, automatic news tagging.

• Outcome: 13% increased page views for recommended articles, 7% increased time on site (user retention), 20% increased comments (user engagement).

11

Case study: Digital media publisher

Demographic analysis Interest discovery Lookalike discoveryCustomer lifetime value

prediction

Frequent pattern analysis

Personalized product offerings

Customer lifecycle analysis

Dynamic pricing

• Over 2000 SKUs of phones, tablets, laptops and 10000+ accessories, 368 ICT shops in Vietnam.

• Yearly revenue $500 million, e-commerce revenue $50 million.

• Extra service: web analytics & A/B testing.

• Outcome: 9% sale from recommendation, 10% increased orders from dynamic pricing, 30% increased accessory cross-sale revenue, 16% increased email campaign CTR.

12

Case study: ICT retailer

Demographic analysis Interest discovery Lookalike discoveryCustomer lifetime value

prediction

Frequent pattern analysisPersonalized product

offeringsCustomer lifecycle

analysisDynamic pricing

• C2C marketplace with ~10,000 merchants, 3 million orders per year.

• Gross merchandising value $50 million, approximately 50,000 SKUs.

• Extra service: purchase intent prediction.

• Outcome: 14% sale from recommended products, 17% increased cross sale, 20% increased email campaign CTR, 55% increase in repeat purchase revenue.

13

Case study: Online marketplace

Demographic analysis Interest discovery Lookalike discoveryCustomer lifetime value

prediction

Frequent pattern analysisPersonalized product

offeringsCustomer lifecycle

analysisDynamic pricing

14

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