AIoT Track Talks


Nicole T. I. Chan
Nicole T. I. Chan
AIoT Track Moderator
Former Chairperson of National Communications Commission

Nicole T. I. Chan, Vice Chairperson of Digital Transformation Association, Board Director of DotAsia, former Board director of Industrial Technology Research Institute(ITRI), as well as many distinguished positions in the areas of law, Internet and technology.

She is a frequent panelist and moderator and conferences around the world. Previous roles have included Director of Nankang Software Incubator, Director General of Science & Technology Law Institute (STLI), Institute for Information Industry (III). Her areas of expertise include Intellectual Property Law, Telecommunication Regulations and Policy, Internet Jurisdiction and Policy, Internet Governance, Cybersecurity Governance, ICT and Creative Industry…, etc.

When she took the position of Chairperson of National Communications Commission, NCC Taiwan, Nicole was responsible for planning the 5G and IoT regulatory development of Taiwan, coordinating the National high level of Security Strategic Project, and also co-working with TWNIC for promoting and implementing the Internet Governance and multi-stakeholders model within Taiwan and connect to the APNIC, ICANN , and other Internet International Organizations.

She received an EMBA degree from National Chengchi University, an LL.M degree in Intellectual Property from the University of London and an LL.B degree from National Taiwan University.


The Core of Taipei’s Smart City Strategy: Holistic, Multifaceted and Citizen-Centric

Chen Hui-Min
The Core of Taipei’s Smart City Strategy: Holistic, Multifaceted and Citizen-Centric
Chen Hui-Min
Chief Secretary
Department of Information Technology, Taipei City Government

In an effort to realize the vision of a livable and sustainable city, Taipei seeks to develop smart city applications which meet the demands of citizens. To optimize the input of resources and innovation from the private sector, Taipei City serves as an innovative platform which integrate the energy of both public and private sectors to implement PoC (Proof of Concept) projects, providing smart services for citizens while enhancing access to additional possibilities.

Today, Taipei City Government would like to share with you the success of its PoC projects. Some of the examples include smart streetlight, autonomous vehicle and application of IoT technology with AI analytics. Our effort taps upon the potentials of numerous fields, allowing interested industry to conduct trials and transform Taipei into a “living lab.”


Taiwan Mobile X AIoT

Allen Liou
Taiwan Mobile X AIoT
Allen Liou
Vice President
Taiwan Mobile Co., Ltd.

Taiwan Mobile as a telco operator how to adopt new technologies to realize the smart city vision. 5G, AI, IoT.. etc. are becoming more mature technologies day by day, year by year. It eventually impact people life style, the way of works and the way to interact with everything. We cannot ignore it but have to embrace the new tech. without any hesitation. They are gradually changing the life of human being in everywhere, in every countries.

Share all of you what we have been done how to use those new technologies for our consumers, for our enterprise clients, for our cities.


AIoT Applications Development in CHT

Kuen-Rong Lo
AIoT Applications Development in CHT
Kuen-Rong Lo
Managing Director
IoT Laboratory, Telecommunication Laboratories, Chunghwa Telecom

We will observe AIoT ecosystem to explore AIoT business opportunities and innovative applications. AIoT can be used with platform & 5G to enhance the value for AIoT services. Therefore, CHT had provided more AIoT services via AIoT platform, which combines 5G, big data, AI, AR & security technologies. We will share some CHT application cases for intelligent transport (autonomous vehicle, traffic big data) and smart city (smart street lights, crowd analysis). Finally, we hope to find the possibility of AIoT innovative applications and cooperation opportunities for between CHT and guests.


Transform through AIoT

Joyce Chen
Transform through AIoT
Joyce Chen
Senior Director
Far EasTone Telecommunications Co., Ltd.

FarEasTone is committed to transform through innovative technologies with a prominent goal, “Transform ourselves then help customers transform”. Beyond network connectivity, FarEasTone generates value by delivering integrated solutions based on B.A.I (big data, AI, IoT) technologies to both internal use cases and external customers. The solutions integrate hardware, network, platform, and applications. In this session, FarEasTone will share the AIoT solutions it has developed for various industries, how its capabilities are built, and what value is has delivered.


A.I.o.T. for Future Medicine

Ted Chang
A.I.o.T. for Future Medicine
Ted Chang
CTO
Quanta Computer Inc.

The world is facing critical challenges regarding fast growing aging population and shortage of medical care resource, especially when we face this extremely tough situation with COVID-19. On technology side, AI approach is now disrupting the world in many applications. In this talk, we shall share our thoughts on how to architect a new AIoT platform that integrates AI, IoT, Big Data and Cloud Computing to address the challenges of precision medicine and telemedicine, not only for the traditional patients, but also for the drastically growing aging population at home for creating a whole new revolution in the future medicine.


Contactless User Interface

Todd Lin
Contactless User Interface
Todd Lin
CTO
Egis Technology Inc.

Part I

  • People uses a lot of things in daily life
  • Some of the user interface requires “physical contact” which is not desirable due to COVID-19 concerns.

Part II

  • How do we convert those user interface into contact-less

Building Extraction from Aerial Imagery

Building Extraction from Aerial Imagery
Nikola Trifunovic
Software Engineer
Microsoft

Diving deep into the challenges of recognizing buildings from satellite/ortho imagery. Microsoft will outline the details of their approach to the problem, the challenges they faced and the results obtained.


Computer Vision for IoT Cameras

Santosh Mallesan
Computer Vision for IoT Cameras
Santosh Mallesan
Associate Fellow
Technology and Product Development, Verizon

Recent advances across several fronts have converged to finally create a practical environment to apply Computer Vision in a truly distributed manner. The compute capabilities in modern smart devices, and advances in low-cost, low-power inference chips have made applying CV at the edge increasingly cost effective. The advent of 5G and the associated low-latency and high bandwidth connections brings with it a new Mobile Edge Compute capability, which enables CV applications for a wide variety of legacy IoT cameras. In this presentation, we explore a CV platform architecture that facilitates CV capabilities from the edge to the cloud.