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FPT Technology Roadmap Version 2013

2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

Support Smart revenue,

productivity, brand

FO

FTEL

FSO

FIS

IaaS, Mobility [4], Call Center, CDN [5], OTT, Fixed-

Mobile Converge, Mobile Video, Log Analytics

Mobility [3], Ad Network & Exchange, Content

Rank, User Understand Analytic

Mobility [6], Cloud, Smart System e.g. Smart retail

[7], Services in Nexus, M2M

Package Solution [8], Design G13 Infrastructure,

Cloud & Mobility for SME

FTS Traffic pattern, Security video analytics, Telemedicine, OSM [9], Universal

Integration Platform, Telecom cell data analytics , RFID, E-Health

FE

FTG

FRT

Learning/content platform

(TimeToKnow), MOOC

Digital platform for distribution [10], demo cloud & bigdata

lab [11], edu-desktop preload [12], smartphone preload

E-Commerce, Retail

recommendation

BIGDATA

CLOUD

INTERFACE

CONNECT

Cloud Standards, Interoperability

Affective Computing, Quantum Computing

Natural language Q&A, Speech-to-speech translation,

address TV, Wearable, Virtual laser keyboard, Bioacoustic

Electrovibration, 3D printing, Ensemble interactions,

Natural language programming, 3D telepresence,

Mobile robot, Autonomous vehicle, Human robot interface

TV Whitespace

SECURITY

Security in silicon

SOCIAL

Virtual concierge,

Social media standards,

Social mapping,

User profiling and grouping,

Text language translation

(localised)

M2M

Home/Mobile Health Monitoring

2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

Complex event processing, Data-federation, data visualization,

Video analytics, Mobile business analytics,

Non-volatile memory: phase change memory, In-memory DBMS,

Realtime decision platform

Hadoop, MapReduce, HDFS,

NoSQL, Text & audio analytics,

Data visualisation, In-memory

analytics, Predictive, Master

data management, BI aaS

DevOps Tools, Cloud Optimised Apps, edu-admin aaS, MOOC Community Clouds, Personal

Cloud Services

Brain computer interface, Augmented reality, navigation solution

Eye & face track (far-range), Virtual reality & virtual world

Gesture & motion recognition for multi-user, interact TV

Mobile Advertisement, Quantified Self, Head-mounted display

Speech Recognition, Virtual Assistance, Biometric authentication

3D location & contextualization,

Interactive visualization, Surface

computers, E-paper, Gesture &

motion recognition in verticals,

Voice & speech analytics, Eye &

face track (near-range)

Self Organising Network, IPv6, Virtualisation,

IPTV, Software defined radio, Cooperative / collaborative comms

Low power comms modules,

Resource sharing, SOA

Mobile Data Protection, Web Application Firewall,

Next Generation – Firewall, Trusted Platform Module,

Firewall, Unified Thread

Management

Context-aware computing, Social commerce,

Emotive technology, Open social graph,

Text language translation (accurate and real time),

Framework to manage privacy of online personal data,

Common platform to access various social networks,

Activity Streams, Quantified Self, social learning

Social monetization, Social media

management, Location-base, Social

mobile apps, Social gaming, music,

Social marketing, Social influence /

ranking algorithm, reputation

management, Open social data API,

Text language translation, Government

to citizen/industry consultancy

Streaming analytics, water management, wifi-positioning In-memory analytics

IaaS, Mobility [4], Customer care, CDN [5], OTTT, Fixed-Mobile Converge, Mobile Video, Log Analytics Public Cloud Storage, cloud advertising, ad-operation platform Data aaS, Cloud Big Data

IaaS, Mobility [4], Customer care, CDN [5], OTTT, Fixed-Mobile Converge, Mobile Video, Log Analytics Cloud Security Standards, Data Tracking Security aaS, Identity & Access,

Management aaS

Cloud Bursting [65] Hybrid Cloud Virtualisation

IaaS, Mobility [4], Customer care, CDN [5], OTTT, Fixed-Mobile Converge, Mobile Video, Log Analytics Internet 2.0, Software Defined Networking Ecommerce aaS

IaaS, Mobility [4], Customer care, CDN [5], OTTT, Fixed-Mobile Converge, Mobile Video, Log Analytics SLA based Charging, Federated Clouds Cloud Brokerage aaS

LTE-A Mesh network sensor, Wireless 802.11ac: 5 GHz

Wireless 802.11ad: 60 GHz, 40G / 100G WDM optical

LTE, Web Analytics, Mobile Virtual

Network

Operational technology security

Software Defined Networking security Adaptive authentication, Context aware computing Security information and event

management

Self healing system Big Data Security Analysis, Data Leak Protection, Security as a Service IDS/IPS

Web Application testing P-testing tools

Behavior analytics Complex event processing Context-aware

LTE NFC LTE

Cognitive network Software-defined radio

6LowPAN ZigBee

Nanotech Coil-on-chip, single chip

Adaptive learning QR/color code

Energy harvesting New battery Ultra low power chip

Topic 1

Topic 2 Research

Sub 1 Sub 2

HO

Canon [15]

Samsung [16]

Hitachi [17]

R&D Policy Making & Enforce, Coordination, Yearly Conference, Yearly Competition, Weekly Seminar, IP Protection

AI[68] &

DATA

MINING

LARGE

SCALE

SYSTEM[19]

INTERFACE

SUPPORT

Cloud for BigData [20]

Cloud Security Standard [21]

[20] [20] [20]

Stream Analytics [27]

Software Defined Network [22]

[24] FSOFT PaaS [23]

FTEL,FO Log [30]

FIS SaaS [25]

Question & Answering [33] Dialog System [34]

Recommend [37] User Understanding [38]

Plan, Control & Operate [42]

Object Recognition [47]

Ai là triệu phú (FPT) [52]

Class/Estimate/Predict [43]

FO Recommend [39]

Center FRT Recommend [40] FE Formative Assess [41]

[33]

FTS Telemedicine [45] FTG Digital Distribution [44]

FTS Security Video [48]

FTS Traffic Analysis [46]

Emotion TTS [50]

STT [51]

Indoor-Outdoor [57]

Contextualize [55]

FPT Robot Demo & Competition [58]

FTEL Call Center [35] FPT Virtual Assistance [53]

FO,FTEL,FIS,FSO Mobility [59]

FE Immersive Learn [60]

Audio Analytics [54]

In-memory Analytics [28]

FTEL IaaS [24]

FTEL, FO Mobility Analytics [31]

FSO M2M [32]

FTS E-Health [36]

Eye track [56]

FTEL Cloud camera [49]

FE MOOC [26]

Appendix 1 - Taxonomy and Dependency Graph [61]

ARTIFICIAL

INTELLIGENCE &

DATA

MINING

LARGE

SCALE

SYSTEM

HUMAN MACHINE INTERFACE

R&D

User

Understanding

Recommender

Systems

Context-Aware

Computing

Planning & Control

Natural Language

Processing

Prediction

& Forecast Operations

Research

Pattern & Association

Mining

Computational Advertising

Content Analysis,

Matching & Ranking

Image Processing &

Computer Vision

User Log

Analysis

Ad Targeting

(Contextual &

Behavior)

Mobile Data

Analysis

Ad Delivery

Optimization

Content & Services

Recommendation

Prediction and Forecast in Sale

Association/Correlation

in Sale Data

Planning & Process

Recommendation

in Sale

Object Recognition

Planning & Control

Medical/Bank/... Decision

Support Systems

Classification, Estimation

& Prediction

Question

& Answering

Planning & Operation

Mobility (FO,

FTEL, FSO,

FIS)

Ad Network (FO)

Ad Exchange (FO)

Content

Recommend (FO, FTEL)

Sale Analytics (FSO, FRT)

Traffic Analysis (FTS)

Security Video

Analysis (FTS)

Telemedicine (FTS)

Expert

System

E-Health (FTS)

Call Center (FTEL, FIS, TPB)

E-Government (FIS)

Digital Distribution Platform (FTG)

Recommend (FRT)

Text-to

-Speech

Audio

Analytics

Acoustic Modeling

Language Modeling

Speech-

to-Text

Eye & Face

tracking

Ai là triệu phú (FPT Branding)

Indoor

Outdoor

Locate

M2M

M2M (FSO, FTG)

Stream

Analytics

Adaptive Analytics

Robot Demo

& Competition

(FPT Branding)

Human Robot

Interface

1

Personalized

Learning (FE)

Immersive

Learning (FE)

Cloud PaaS [67]

IaaS

PaaS (FSO)

IaaS

(FTEL, FSO) Software-defined

network

SaaS

Cloud

Security Standard

SaaS

(FSO,FIS,FTS)

Integration

Platform [66]

Motion

Security [64]

Cloud for

Big Data

Hybrid

Cloud

Universal Integration

Platform (FTS) [63]

BigData

Management

Virtual Assistance (FPT Branding)

1

CDN (FTEL)

Audio Video

OTT (FTEL)

Mobile Video

(FTEL)

Smart System & Services

(FSO)

G13 Infrastructure (FIS)

Packaging Solutions

(FTS)

OSM (FTS)

RFID

(FTS)

Cell data analytics (FTS)

Learning

platform

(FE)

MOOC (FE)

Demo cloud/bigdata

lab (FTG)

Cloud camera

analytics (FTEL)

Standard workflow

(FIS) [69]

Cloud secure standard

(FSO,FIS,FTEL)

BYOD secure

(FSO, FIS)

User generated

media (FO)

Social mine, brand

(FE) [62]

Formative

Assess (FE)

Virtual Med-assist

(FTS) [29]

Eye-track

marketing (FO) In/outdoor

marketing (FRT)

Social Graph Mine

2

3

3

2

Network

GIS Media encode

OSM

Public Storage

In-memory

analytics

4

4

Contextualize

Dialog

5

5

6

6

Pre-load Apps

(FTG)

7

7

8

8 9

9

9

10

10

11

11

12

12

13

13

14

14

15

16

16

15

17

17

18

18

19 19

20

20

Affective

Computing

Appendix 2 - Notes and References [1] Mission in OneFPT, version 4 for BSC training 14 April 2013

[2] The content in this section are accumulated from communications with CTOs of FPT subsidiaries,

in October 2013

[3] In the context of FO, Mobility means content distribution, advertisement, collaboration on Mobile

[4] In the context of FTEL, Mobility means content distribution on Mobile

[5] CDN: Content Distribution Network

[6] In the context of FSO, Mobility means mobilization (moving from traditional tools to mobile tools)

in vertical domains (retail, transport, banking …)

[7] Examples for Smart System in context of FSO are: sale routing with GIS applications, sale data

analytics, voice interface in cloud and mobile services …

[8] Packaging existing solution of FIS in vertical domains (telecom, banking …)

[9] OSM: Open Street Map

[10] Examples for Digital platform for distribution in context of FTG are: claim management system,

real-time integration of distribution modules, store / warehouse management

[11] Demo labs are labs with equipment and solutions provided by partners to show for customer

and for FPT’s experiment

[12] Computer provided to schools need to be preloaded with English teaching software, customized

for Vietnam foreign language program

[13] Mainly based on ITR2012 (Infocomm Technology Roadmap 2012) of Singapore Infocomm

Agency, http://www.ida.gov.sg/Infocomm-Landscape/Technology/Technology-Roadmap, retrieved in

2013, and Gartner's Hype Cycle 2013 (Hype Cycle for Emerging Technologies, 9 August 2013). Italic

and bold font is given to technologies mentioned by Hype Cycle 2013 but not by ITR2012. Italic font is

given to selected technologies only mentioned by detailed Hype Cycles: telecom 2012, enterprise

architect 2012, mobile app 2012, BI 2012, device 2011-12, context-aware 2012, e-commerce 2012,

HCI 2012, smart city 2012, advertising 2012, education 2012

[14] The references models is presented independently with timeline, does not contain the content

of R&D, and are only relevant for providing general framework to organize R&D activities

[15] Cannon divides R&D into topics http://www.canon.com/technology/approach/

[16] Samsung outlines R&D in three layers. The Samsung Advanced Institute of Technology (SAIT),

Samsung's technology competitiveness in core business areas, identifies growth engines for the

future, and oversees the securing and management of technology. The R&D centres of each business

focus on technology that is expected to deliver the most promising long-term results. Division

product development teams are responsible for commercialising products scheduled to hit the

market within one or two years.

http://www.samsung.com/in/aboutsamsung/ourbusinesses/researchdevelopment.html, retrieved in

2013. In FPT, R&D in FPT HO will be similarly R-focused, while subsidiaries’ R&D are D-focused. FPT

HO leads and coordinates its projects, while FPT subsidiaries may contribute rotating human

resources. In this way, R&D human resources in FPT Subsidiaries will gain “flying hour” and cross-

subsidiary cultures.

[17] Azuhata, S. (2011). Hitachi Establishes New R&D Framework to Spur Global Growth of the Social

Innovation Business. http://www.hitachi.com/New/cnews/110117d_pre.pdf, retrieved in 2013

[18] For each topic, the darker (upper) arrows show the research problems, and the lighter (lower)

arrows show applications in FPT business that are related to the research problems above them. The

research problems and business applications are chosen from the taxonomy in Appendix 1. In

Appendix 1, the business problems are either derived from Subsidiaries’ View (normal print) or from

Trend (italic print). Not all the business and research problems in Appendix 1, are included in the

Roadmap; only the most "sensible" and "doable" ones will be in the Roadmap. Sensible aspect is

measured by Sensibility, which is the number of potential applications in FPT subsidiaries, reflected

by the number of links from the R&D problems to business applications. Doable aspect is measured

by Doability, which is estimated on the scale of 10, with higher mark corresponding to the maturity

of technology (bold one has Doability greater than 5) and the human resource availability for FPT.

Among the selected business and research problems for the Roadmap, the ones with higher

Sensibility and Doability will generally be tackled before others in chronological order.

[19] The topic "Large Scale System" focuses on Engineering in setting up the infrastructures and

incorporating Scientific tools onto these infrastructures; while the "AI & Data Mining" focuses on

Scientific tool developments and "Human Machine Interface" or "Human Machine Interaction" (HMI)

deals also with some AI tools for explicitly interfacing with human. The topics cover most of

technologies interested by FPT subsidiaries, and are in accordance with FSOFT CTO's advices.

[20] This problem has Sensibility of 7 (serving 12 potential applications in FPT subsidiaries) and

Doability of 8/10 (estimated on the scale of 10, based on the technology maturity, in this case the

technology is matured with available reference architectures, and available human resource, in this

case 1 potential Ph.D. + engineers with some experiences from FPT HO & subs). This cover all Cloud

engineering (IaaS, PaaS - OpenStack/CloudStack, SaaS, ...) as well as BigData (MapReduce by Hadoop,

HDFS, Mahout, BigR, Data Visualization) on top of the Cloud. This infrastructure not only serves as

reference architectures for applications of Cloud in FTEL (IaaS), FSO (PaaS), FIS (SaaS), ... but also

serves for other BigData, AI & DataMining research projects within FPT HO & FTRI.

[21] This problem has Sensibility of 5 and Doability of 5/10. One possible way is to partner with

named player (e.g. Symantec) to set-up demo-lab of Cloud Security at FPT and adopt the security

standards of these demo labs to Cloud projects of FPT. Although not shown in the Roadmap, demo

lab can be setup by collaboration with FTG and FSOFT and will contribute to business applications in

FTG (FTG demo lab for cloud/bigdata) and FSOFT. ITR2012 estimate the cloud security standard

technology will be mature by 2015 to 2017. See more details at section 5.5.2.6 of

http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/Cl

oudComputing.pdf and page 35 of

http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/Cy

berSecurity.pdf.

[22] This problem has Sensibility of 1 and Doability of 5/10. This serves as the next step in

development of FPT IaaS, serving FTEL, as indicated by the technology strategy of FTEL, confirmed by

Trend (see page 17 of

http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/ID

A_ITR2012.pdf). ITR2012 estimate the software defined network technology will be mature by 2015

to 2017. See more details at section 5.5.2.5 of


oudComputing.pdf

[23] FSOFT PaaS has already started; collaboration between Cloud for BigData and FSOFT PaaS will be

implemented by rotating human resources between projects and re-use of architecture and methods.

FSOFT might also be interested in IaaS, SaaS. Effort with FTG demo lab in Cloud security will

contribute to FSOFT PaaS in later phase.

[24] Collaboration between Cloud for BigData and FTEL IaaS will be implemented by rotating human

resources between projects and re-use of architecture and methods. Effort with FTG demo lab in

Cloud security will contribute to FTEL IaaS. And afterward, software defined network result will also

be applied to FTEL IaaS.

[25] SaaS of FIS is for SME (small & medium enterprises) and the solution for SME may be packed

with additional Mobility elements (with some solutions to be developed in other research topics).

Collaboration between Cloud for BigData and FIS SaaS will be implemented by rotating human

resources between projects and re-use of architecture and methods.

[26] Collaboration between Cloud for BigData and FE MOOC will be implemented by rotating human

resources between projects and re-use of architecture and methods.

[27] This problem has Sensibility of 6 and Doability of 8/10.

[28] This problem has Sensibility of 6 and Doability of 6/10. Due to the ever-increasing stream data,

stream data might only be feasibly processed/preprocessed in-mermory. See page 9 of


A_ITR2012.pdf). ITR2012 estimate the in-memory analytics technology will be mature by 4. See more

details at section 4.4.1.5 of

http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/Big

Data.pdf .

[29] Virtual medical assistance. See section 11.4.2 of

http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/Us

erInterface.pdf

[30] Log analytics projects tests the ability of the infrastructure of Cloud for BigData and Streem

analytics, and potentially gives knowledge about users that supply value-added services.

[31] Mobility analytics projects is a further development of Log analytics, and will be feasible once

there is a large base of users who use FPT Mobility services.

[32] M2M will be basing on the technology of Stream and In-memory Analytics. Also results from

BYOD security research will potentially be beneficial to M2M services.


[34] Dialog system is the extension of Q&A system, in which the system not only be able to answer

users' questions, but can also asked and understand users' answers. This problem has Sensibility of 6

and Doability of 6/10.

[35] Automate the call center of FTEL, and potentially give rise to services to FIS, TPB and other

subsidiaries of FPT.

[36] Once Dialog system yields stable results, the system can be developed to FTS E-Health services.

[37] Recommendation system research has Sensibility of 5 and Doability of 8/10.


[39] FO content (e.g. personalizing news in VnExpress, advertisement display) recommendation

[40] FRT retail products recommendation to individual user

[41] Formative assessment for learning (feedback to personalizing learning). See page 23 of


A_ITR2012.pdf

[42] Planning & Control, Planning & Operation, Planning & Process. This problem has Sensibility of 5

and Doability of 7/10.

[43] Classification, Estimation, Predictive & Forecast, Association/Correlation. This problem has

Sensibility of 5 and Doability of 7/10.

[44] With application of Planning & Control, Planning & Operation, Planning & Process.

[45] With application of Planning & Control, Planning & Operation, Planning & Process and

Classification, Estimation, Predictive & Forecast, Association/Correlation.

[46] With application of Planning & Control, Planning & Operation, Planning & Process.


[48] With application of Object recognition in Video processing.

[49] FTEL currently has a cloud camera services. This service provided a good source of data for

applying Object recognition technology for doing analytics and getting value-added knowledge &

services. ITR2012 estimate the video analytics technology will be mature by 2015 to 2017; see details

at section 4.4.2.3 in


Data.pdf


[51] This problem has Sensibility of 7 and Doability of 5/10. Gartner HypeCycle 2013 indicates

Speech-to-text technology will be in mainstream in before 2015.

[52] FPT robot (interface of FPT smart technologies) join the TV show game Ai là triệu phú. This

demonstration will have a strong branding impact and will open large business opportunities for FPT's

smart services.

[53] This is the next step of Ai là triệu phú, with more useful applications to mass/enterprise

customers.

[54] This problem has Sensibility of 5 and Doability of 6/10. ITR2012 estimate near audio analytics

technology will be matured by 2014. This technology contributes to BigData tools, see section 4.4.2.6

of


Data.pdf .

[55] Contextualization are collections of technologies that bring as much as possible context

information to the stream data. ITR2012 estimate near contextualization and 3D location technology

will be matured by 2014. See page 23 of


A_ITR2012.pdf and page 8 of


erInterface.pdf. This problem has Sensibility of 3 and Doability of 7/10.

[56] Eye (and possibly face) tracking. This problem has Sensibility of 4 and Doability of 8/10. ITR2012

estimate near range eye-tracking technology will be matured by 2014. See page 11 of


erInterface.pdf and page 8 of


erInterface.pdf .

[57] Seamless indoor to outdoor location. This problem has Sensibility of 4 and Doability of 7/10.

[58] This project also includes Human Robot Interface framework, security against software, network

and physical interaction risk. the purposes is to test the smart technologies of FPT, building

community & brand, and serves long-term FPT mobile robot services.

[59] A collection of Mobility services of many FPT subsidiaries, possibly using some of the

technologies in Audio analytics, Contextualization, Eye tracking, I

[60] For Immersive Learning trend, see page 23 of


A_ITR2012.pdf

[61] Italic font is given to business applications that are not stated by FPT subsidiaries but are

expected from the Trends. Bold font is given to applications, R&D problems & directions that are

estimated by ITR2012 and Gartner Hype Cycle 2013 to be feasible and mainstream in 2013 and 2014.

The bold items will have higher Doablility.

[62] Social mining for branding management. See section 9.6.6 of

http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/So

cialMedia.pdf

[63] Prioritize open source solution

[64] Robot motion should have mechanism to protect itself and owner from physical harms

[65] Ability of a cloud to use other cloud-based services. See section 5.5.3.2 of


oudComputing.pdf

[66] Including open source solution

[67] Could be based on OpenStack, CloudStack.

[68] AI: Artificial Intelligence

[69] See page 11 of


A_ITR2012.pdf

http://www.canon.com/technology/approach/

http://www.samsung.com/in/aboutsamsung/ourbusinesses/researchdevelopment.html

http://www.hitachi.com/New/cnews/110117d_pre.pdf

http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/IDA_ITR2012.pdf






http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/BigData.pdf

http://www.ida.gov.sg/~/media/Files/Infocomm%20Landscape/Technology/TechnologyRoadmap/BigData.pdf






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