AIunited.city twitter breaking 2019.18
|AIAsianUS JY NG Fo-Fo DamoHQ2 || AIRome SilkRoadWest|| AIMoscow
DamoArctic|| AIDelhi Nilekani Billion iD||AIBeijing Lee Li Scwarzman CCG 2Jin IR4wefEast||AISingapore for everyone 1 2 @LaurenceLiew|
|AIMooreValley Intel Stranford IR4wefwest|| AIPalaceWest|| AIGeneva WEf ITU Unctad
WTO WHO RedCross|| AIDhaka GAIIB.com (Gills AI bank& health a billion)||AIYellowRiver Ma.J ||AITokyo
MASOftbank 1 2 IR4WefarEast|
|AISeattle Microsoft Amazon|| AIEconomistBlack.com|| AITelAviv DamoDesert|| ||AIDalian||AITaiwan
| AIBoston TBL Quadirs DigMedLab WellesleyGAI|| AIRwanda EWTP PIhealth AfricaIIB|| AIDubai
Milion$edu 1776mideast|| ||AIMalaysia EWTP ||AIBayHK Ma.P Ren.Z SophiaHumanSafe|
| || || AILuxembourg-Monaco|| || AI Korea Sophie EomSamsung Chaebol|| AI Japan Keireketsu eg Toyota-Panasonic-Hitachi- AIPlaceEast|
email@example.com - survey of AI cities in the world
in 2019 our benchmark is singapore - contact us
if you believe your city is already in same premier league as singapore or if your friends want to linkin unitil it is
are extracts from 7 of singapore's first programes of AI for Everyone - the singapore team details are here
100 AI Experiments
Singapore's flagship programme to solve industries’ artificial intelligence (AI) problem statements and help industries
build their own AI team:
matched funding available- as at 1 may 2019 - 30 projects apprived -related resources @astar_research
AI FOR EVERYONE
here is outline of current 3 hour free introductiry couse on ai for everyone run fiortnighly in singapore- if you know
of other cities running free intros please tell us firstname.lastname@example.org
Get a comprehensive overview: how it all started to how to introduce AI to your enterprise.
We will cover:
- AI then & now
- What is AI?
- Transformational trends
constitutes a Data Scientist?
- The Machine Learning process
- What is Machine Learning (ML)?
- Five questions that Data Science answers
- The secret of happiness
- Machine Learning/AI tools you can use
- What are Deep Learning neural networks
- What is an artificial neural network?
- Training the neuron
- Deep Learning in action
- Deep Learning for image classification
- Applying AI to Traditional Chinese Medicine (TCM)
- Manufacturing analytics
- IoT + analytics
factory analytics use case
- AI in Telecommunications
- Social network analysis for key influencer detection
- Natural Language Processing (NLP)
- Text analytics and sentiment analysis
What is next?
- Talent Development
- Closing thoughts
| || || || || || |
Aluminsat.com presents AI HUBZ : Zhong ::Zhong & alumni of East's biggest SDG investors: East biggest investors without
known link Z; other non west G6 investors: West G6 investors
Schwarzman-T; Schwarzman MIT
Li Ka Shing
EWTP AI sme ecom
Eduardo Saverin Brazilian co-fpunder FB- renounced US cit;
Robert & Philip Ng FEO & Sino
Goh Cheng Liang Wuthelam Holdings, Hup Jin
Kwek Leng Beng Hong Leong Group Singapore,
partnership with the Malaysian IOI Group
Chan Ms Z
DAMO AI Labs: researchers advance the state-of-the-art in artificial intelligence, applying AI algorithms to
empower machines and design innovative interface that enable collaborative and natural interactions between people and machines.
We develop platforms that infuse computer, material and system technologies to enable a larger community can easily build
AI-empowered products. We develop advanced products such as TmallGenie (personal voice assistant) to extend human ability
and ensure everyone access the benefit of AI.
（1）Voice Interaction: research
on signal enhancement, voice wakeup, voice recognition, TTS and other technologies in the domain of voice interaction;（2）Natural
Language Understanding: research topics include intent detection, slot filling, dialog management, chitchat and meaningful
chat;（3）Data Mining and Knowledge Graph: research on knowledge extraction, knowledge integration, knowledge
outsourcing, question-answering;（4）Personalized Recommendation: research on user profiling and personalized
recommendation for scenarios related to voice assistants.
Dedicated to the innovation in AI hardware
and robot design. Exploring new possibility of future AI hardware and robots through persistent research on human-machine
interaction, product archetype and material technology.
- Intelligent Manufacturing
Based on a new generation of hardware design
and manufaturing involving Intelligent chips and modules, we build innovated solutions using edge and cloud computing.
Work on technologies for autonomous robotic systems, including: real-time localization, environmental mapping and
reconstruction, object detection, scene segmentation, path planning, motion control, fault detection, multi-robot collaboration,
and so on.
is a intelligent voice assistant (with voice-box) made by A.I. Labs. It is the first product in the world that supports voiceprint
purchase through voice-box with advanced voiceprint identification technology. In addition, the voice-box implements multiple
industry-leading technologies in natural language processing and dialogue management. It understands human commands and provides
user a new experience of human-machine interaction. Undertheneath, there are multiple huge databases such as encyclopedia,
music database, movie database, commercial product database, LBS database, which include more than one hundred million entities,
one billion relations and ten billion real dialogue sessions.
Hardware Open Platform
AliGenie is devoted to transform leading research capabilities
to industry productivity by helping industry partners create cutting-edge product empowered by AliGenie intelligent human-machine
interaction interface. By implanting AliGenie system, our partners' products gain a huge improvement in human-like abilities
such as voice, tactile, vision and intelligent interactions. These abilities make our partners' products more competitive
and provides better customer experience.
AI technologies are built in our robot product. It has multi-mode (human,
machine, environment) sensoring, interaction and understanding and autonomous planing and task completion capabilities. The
robot service quality is enhanced in multiple business scenarios. It is observed that both the service efficiency of our business
customers and the purchase experience of our individual customers are improved. Among others, “TmallGenie Space
Ball、Space Interstellar” are two products made by Alibaba which can help workers complete difficult tasks in
hotels and hospitals, that require repetition or high precision.
of AI Labs
Joined Alibaba Group since 2003. Prior to her current position, Chen held several roles in Alibaba. She was
among the first few product managers working for Taobao.com, where she was leading the development of the Taobao product team.
Then she became the manager for etao.com, an e-commerce pricing comparison website, and later the founder and manager of Alibaba
IOT department. She estabilished Alibaba A.I. Labs in 2016, and released the first consumer-facing AI product named Tmall
Genie X1 in 2017. As of now, Tmall Genie X1 is the most sold Chinese smart speaker worldwide.
Engineer of AI Labs
He received a Ph.D. in Computer Science from Arizona State University in 2004, a Master of Engineering
degree in Computer Applications from Tsinghua University in 1998, and a Bachelor of Engineering degree in Computer Science
and Technology from Tsinghua University from in 1996. Before joining Alibaba,he was a Principal Researcher and led the Big
Data Mining group at Microsoft Research. His research interests include natural language understanding, data mining, and machine
Engineer of AI Labs
He is a visiting professor at industrial design department of Tsinghua university, obtained his master
degree from Tsinghua University Academy of Fine Arts. His research direction is artificial intelligent hardware and robot
industrial design. Before joining Alibaba, he was former VP of Smartisan Technology, senior consultant of Philips Design Hong
Kong. With over 16 years experience of industrial design, he obtained 50 domestic/global design awards, such as German iF
Design gold award, Italian A Design gold award, American Spark design silver award, Chicago Good Design award, Japan Good
Design award, Hongkong DFA design award and Design Intelligence China award.
Engineer of AI Labs
He is the first generation of smart phone developers of China with the 15 years experience of smart
device and IoT development and manufacturing. He is responsible for Tmall MagicBOX and product design for television system.
He lead the development of Ali's first generation of voice assistant TmallGenie and published system desktop 5.0. He also
established Alibaba's first acoustics lab and lead the industry acoustic testing standard and methodology. He designed the
first Bluetooth SIG MESH clip with the collaboration of MTK. Before joining Alibaba, he was research director of Motorola
Linux kernel development, is responsible for the Linux kernel development of Motorola Ming series cellphones. He developed
the first cellphone with android system in China while worked in Borqs Technologies, Inc. at 2007.
Haitao DuAI Labs
He own more than 14 years experience of AI product design at internet industry and research orientations
include: User-centric Big Data, voice Interactions, Imaging & Vision Process and multi-modal based next-gen Human-Machine
Interface(HMI). With him on board, AI Lab was able to deliver 31 patents on AI-related products for the past two years. He
led team released the groundbreaking TMallGenie - the latest generation hardware in mandarin-based HMI.
of AI Labs
Before joined Alibaba,he worked in HP for nearly 10 years, he served as the Chief of Staff of HP China R&D
Center. He held various management positions in R&D, product definition, strategic planning, and operations. In the field
of consumer electronics and computing devices, he has accumulated rich experience in design, manufacturing and commercialization.
He led the Robot team from all the perspectives, including product planning, R&D and commercialization. In September 2018,
at the Yunqi Conference in Hangzhou, his team announced Alibaba's first intelligent robot product with multi-modal human-computer
Algorithm Engineer of AI Labs
He obtained his Ph.D. degree in Electrical Engineering Department at University of California, Riverside.
After that, he joined Google Project Tango/Daydream working on algorithm development in Augmented Reality and Virtual Reality
fields as well as technology commercialization on different types of consumer electronic devices. His research interests mainly
lie in the areas of robotics and computer vision. In particular, he focuses on simultaneous localization and mapping, sensor
fusion and calibration, multi-robot collaboration, large-scale image retrieval, and multiple-geometry in robotics, and he
holds 20+ publications from world-class robotic conferences and journals, including IJRR, RSS, ICRA, IROS, etc.
- Zexuan Zhong, Yong Cao, Mu Guo, Zaiqing Nie. CoLink: An Unsupervised
Framework for User Identity Linkage. AAAI, 2018.
- Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie: CoChat: Enabling Bot and Human
Collaboration for Task Completion. AAAI, 2018.
- Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong
Cao. Learning-to-Ask: Knowledge Acquisition via 20 Questions. KDD, 2018.
- Chenglong Wang, Feijun Jiang, Hongxia Yang. A Hybrid
Framework for Text Modeling with Convolutional RNN. KDD, 2017.
DAMO TECH SISTER TO AI LABS
the world through technology
Research Area Overview
The Alibaba Damo Academy’s Machine Intelligence
Research Sector utilizing researches in cutting-edge machine intelligence’s theories and applications, especially the
machine learning, helps industries to improve efficiency in retailing, , transportation, service, medical and judiciary sector,
etc. Alibaba Damo is devoted to facilitate the revolutionary in fields, including economics, space technology, automatic control,
computer design, and manufacturing, etc.
The machine intelligence research sector encompasses
five labs, namely Speech Lab, Vision Lab, Language Technology Lab, Decision Intelligence Lab, and City Brain Lab.
Research Area Leader
of Machine Intelligence Technology
He was a faculty member of the Computer and Science Engineering Dept. at Michigan
State University. His research is focused on statistical machine learning and its application to information retrieval. He
published over 200 technique papers, mostly on the top conferences and prestigious journals. He is an associate editor of
IEEE Transaction at Pattern Analysis and Machine Intelligence (TPAMI) and ACM Transaction at Knowledge Discovery from Data.
Dr. Jin holds Ph.D. in Computer Science from Carnegie Mellon University. He received the NSF career award in 2006, and the
best paper award from COLT in 2012.
Research Area Overview
The Alibaba Damo data
computing aims to reconstruct and converge the open, secure, agile and ecological information infrastructure, solve computational
problems of function, efficiency and energy consumption, meet the needs of real-time interconnection, information sharing
and intelligent applications among people, machines and objects, and eventually form a globalized intelligent computing ecosystem.
Research Area Overview
Damo Academy’s Robotics Research Sector is engaged in cutting-edge development in fields including environment perception,
high-precision positioning, decision-making, intelligent control, etc.
Based on robot technology,
Alibaba Damo focuses on R&D and application in unmanned driving and unmanned logistics, also it is committed to remodeling
the value in traditional industries, such as automobile, logistics, service sector, etc.
Research Area Overview
Damo finance technology is committed to improving the security, accuracy and convenience in finance sector, improving
financial forecast and decision-making ability, and remodeling the financial service.
Research Area Leader
of Biometrics Lab
Before joining Ant Financial, he served as Vice President of NEC Group, leading NEC's American Research
Institute and global R&D. He has developed numerous innovative technologies and products in forefront domains such as
IoT, big data, artificial intelligence, cloud computing, computer security, and software-defined networks. He has published
more than 160 papers in world-class computer journals and conferences, won the Best Paper Award from top data mining conferences
including SIGKDD. R&D projects under his leadership have won multiple industrial innovation awards at high-tech exhibitions
such as CEATEC and Interop.
Research Area Overview
is dedicated to explore the most mysterious unknown in technology field and endeavors to provide the most advanced solutions.
Furthermore, X Lab focuses on future and fission technology value.
FIA SMART CITIES TALK MONACO GRIMALDI FORUM 10 MAY
Smart Cities portera sur le développement de la mobilité dans les villes intelligentes, et la mise en œuvre
de solutions nouvelles et exploitables pour faire face aux défis mondiaux qui définissent l'avenir des environnements
La discussion portera sur l'utilisation des nouvelles technologies permettant de faire progresser
les systèmes de mobilité innovants en milieu urbain. Des orateurs de haut niveau examineront également
le rôle des politiques publiques dans la définition d’un juste équilibre entre la mobilité
conventionnelle et nouvelle ; sa contribution à la croissance des « smart cities ».
- S.A.S. le Prince Albert II de Monaco
- Jean Todt, Président de la
FIA, Envoyé spécial du Secrétaire général de l’ONU pour la sécurité
- Alejandro Agag, PDG et fondateur du championnat de Formule E
- Kari Eik, secrétaire général de l'Organisation pour les relations économiques
- Lucas Di Grassi, pilote Audi ABT Shaeffler Formula E Team
Animé par: Edie Lush, Rédactrice en chef Hub Culture
June Tokyo Softbank
inversors annual meeting
AIIB annual bankers meetig Luxembourg
AlibabaTrend Statements as at end 2017
Machine intelligence has already been generating great impacts on our life while we are still used to the
era shaped largely by information revolution and mobile internet. Advanced technologies, functioning like “magics”,
are developed based on rules and trends spotted by human beings. Today, Alibaba DAMO Academy published The Top 10 Technology
Trends in 2019. We hope that by grasping the pace of revolution of technologies, we can make better use of these “magics”
and be in charge of our own future.
Trend 1: Real-time
simulation of smart city becomes possible
Dynamic and real-time urban infrastructure data, such as traffic, water, electricity
and air quality data will be analyzed by large-scale computing platforms. The development of computing power and algorithms
will foster the merge of nonstructural information such as video footages with structural information, making real-time modeling
of urban simulation possible and holistic, intelligent decisions can be made. More resources will be allocated to technologies
powering an intelligent “city brain” and its applications, while a city simulation model reflecting the real-time
impulses and movements of a physical city can be built to facilitate the optimization of city governance. More cities in China
are expected to have a “city brain” in 2019.
Trend 2: AI Speech
technology passes Turing Test in specific areas
People can “talk” to more and more public facilities as voice becomes
an increasingly important interface. In the future, there will be at least one available interface point in our surroundings
for voice interactions. As speech intelligence technology advances, real-time text-to-speech on mobile devices would be almost
identical to human speech, even passing the Turing test in certain conversations, such as ones using a robotic voice to alert
about delivery status. Rules and regulations need to be established to regulate the industry, to avoid misusing the technology
in advertisements, harassing phone calls and fraud.
Trend 3: Specialized
AI Chips on Rise
For AI training in data centers, data movement between computing and memory has become
a significant bottleneck. As a result, in addressing the challenge, memory-centric AI chip architecture based on the latest-generation
of 3D-stacked memory technology will become mainstream. The demand for data bandwidth in AI chips will further motivate the
use of 3D stacked memory, such as HBM (high-bandwidth memory) in AI training chips. In addition, brain-inspired neuromorphic
computing chips will gain momentum, while researchers seek killer applications. Specialized AI chips may challenge the dominant
position of GPUs for AI training in data centers. AI chips with architecture that truly reflect domain-specific features are
expected to be increasingly used in edge computing.
Trend 4: Super-large
graph neural networks (GNNs) will to teach machines common sense
Deep learning technology has matured significantly. GNNs that combine with deep learning
can link end-to-end learning and inductive reasoning together, which might be able to address issues, such as relational reasoning
and explainability that couldn’t be tackled by deep learning before. Robust GNNs can function as a human brain that
consists of neurons (or nerve cells), equipping machines with common sense, comprehension and cognitive capabilities.
Trend 5: Computing Architecture to be restructured
Computing architecture will be restructured to meet the demands for data centers
and edge computing. In the future, computing, storage and networks should meet the request of high-throughput computing for
AI development, as well as the request for low power in Internet of Things scenarios. The heterogenous computing architecture
with FPGA, GPU and ASIC, along with emerging memory devices, are driving the evolution of traditional computing architecture.
In the foreseeable future, the fundamental changes to computing architecture will accelerate the arrival of AI and the quantum-computing
Trend 6: 5G networks to enable new applications
The fifth generation of wireless technology (5G) will see a significant increase
of wireless bandwidth, enhancing the peak speed of 4G network nearly 100 times. This will speed the development of 4k/8k ultra-high-definition
videos and immersive interaction based on AR/VR. With connection capability reaching billions of devices, it will enable thorough
integration of communication and connection between machines. Networks will gradually evolve into the cloud or become software-based.
Networks could also be segmented into multiple virtual subnets that are independent and parallel, offering dedicated virtual
private networks for various applications. Additionally, with features like high reliability, low latency and large capacity,
5G networks will enable the development of new areas, such as vehicle-infrastructure cooperative systems and the Industrial
Trend 7: Digital identity will become your second ID Card
Biometric technology is maturing and being applied large scale. With the wide adoption
of 3D sensors and integration of multiple models of biometric features, each device will be equipped with machine intelligence
to see and hear the world. Biometric and liveness detection/anti-spoofing technology is reshaping people’s identification
and verification, which will make your digital identity a sort of second ID card. From phone unlock, door access control to
dining at restaurants, checking out at supermarkets, entering train stations, passing airport security check and seeing doctors
in hospitals, biometric technology is playing an increasingly important role in making trust simpler and our daily life better.
Trend 8: Development of auto-driving technology to take a steady pace
Making individual cars smarter hasn’t worked out well in the past to achieve
autonomous driving. However, this does not mean that self-driving has hit a roadblock and is stuck forever. The advance of
vehicle-infrastructure cooperative systems will foster the development of autonomous driving. In the next two to three years,
new technological progress should be seen in certain commercial areas, such as logistics and transportation, with fixed-route
public transport and unmanned delivery for commercial buildings and campuses.
9: Commercialization of blockchain technology speeds up
People are more rational about the prospects of blockchain, which was once much overhyped.
The deployment of blockchain applications with sustainable commercial value is expected to speed up. Along with the rapid
digitization of various industries, IoT technologies will underpin the trusted mapping from off-chain world into on-chain
data, and blockchain will expedite the restructuring and optimization of trusted data flow across participants to boost the
efficiency of workflow and coordination. More and more blockchain applications will be seen in our daily life, such as cross-border
remittances, supply-chain financing, electronic invoices and tamper-proof judicial records. As the value of “chaining”
becomes more recognized, layered architecture and cross-chain protocol will become the focus of technology to scale up blockchain
Trend 10: Data security technologies will multiply
Governments around the world intend to enact/implement more stringent
policies and regulations on data security. Corporates will need to invest more in protecting individual data privacy. Though
cyberattacks won’t cease in the next few years, data-protection technologies will boom. Traceability technologies across
systems, such as watermark, and data-asset protection technology, including advanced anti-crawlers against strong cyberattacks,
will be more broadly adopted.
Five priorities can help China harness AI for productivity growth and prepare for the societal shifts it mayunleash. Artificial intelligence, or the idea that computer systems can perform functions typicallyassociated with the human mind, has gone from futuristic speculation to present-day reality.
First, by 2020, China’s overall progress in technology and applications of AI should keep pace with theworld’s advanced level, while its AI industry becomes an important economic growth point.
China racing for AI military superiority over US, says report. The Chinese government submitted aposition paper to UN on the use of AI weapons in April.
Join China Institute for an evening with tech luminary and business mogul Kai-Fu Lee and AndrewMcAfee, co-director of MIT’s Initiative on the Digital Economy,
to work in China, while China’s tech giants have set up their own overseas AI institutes to recruit foreigntalent. The training plank takes a long-term view to growing AI talent through constructing an AI academicdiscipline and creating pilot AI institutes.
In 2018, Webb expects the AI cloud and marketplaces for algorithms will continue to grow and the firstpersonal robots will come to market. China also garnered considerable attention in the report.
Related searches for china ai institutes
See results for
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to hire, say, the best marketing person, we look first in Singapore.
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Alibaba founder Jack Ma unveils ambitious plan
Mission: 100 million new jobs
already runs the world's biggest online shopping company, but Alibaba founder Jack Ma is not satisfied.
The Chinese billionaire has unveiled an
even more ambitious plan to expand the company's reach across the globe, creating 100 million new jobs and transforming the
global economy to create a more equitable world.
It may sound pie-in-the-sky, but the goal forms part of mission statement
of the US$261 billion company's visionary executive chairman.
In a letter to shareholders, Ma outlined Alibaba's achievements of the
past financial year - including a gross merchandise turnover of more than $195 billion (1 trillion RMB), an "unprecedented"
figure - before looking to the future.
"We have more than 430 million annual active buyers, which means
one out of every three individuals in China has made a purchase on our retail marketplaces," Ma wrote.
But, he said, while proud of Alibaba's
online shopping achievements, "we want to do far more", saying that the benefits of globalisation had not been spread
evenly, but that "digital disruption will bring us closer to a level playing field for young people and small businesses".
are not merely trying to shift buy/sell transactions from offline to online, nor are we changing conventional digital marketing
models to squeeze out a little additional profit," he wrote.
"We are working to create the fundamental digital and physical
infrastructure for the future of commerce, which includes marketplaces, payments, logistics, cloud computing, big data and
a host of other fields."
The Alibaba group of companies, founded in 1999, accounts for 60 per cent of all
Chinese online sales, and this year overtook Walmart as the world's largest retailer.
It has made Ma the second richest man in Asia, with a net worth of US$28.5 billion.
THE NEW 'NATURAL RESOURCE'
It's through cloud computing that Alibaba aims to expand its reach, and the company has been investing in
the technology as part of a strategy that sees shoppers' data as the contemporary equivalent of mineral riches.
"Over the next 30 years, with computing
power as the new 'technology breakthrough' and data as the new 'natural resource,' the landscape of retail, financial services,
manufacturing and entertainment will be transformed," Ma wrote, forecasting a decades-long period of transformation.
"The internet revolution is a historical
inflection point, much like when electricity was introduced, and it may have an even greater impact," he predicted.
mission, he said, was to "empower merchants with the ability to transform and upgrade their businesses for the future"
and "help companies all over the world to grow".
"We believe, the commerce infrastructure we have created in China
- marketplaces, payments, logistics, cloud computing and big data, all working in concert - can be applied on a global scale
to lift up small and medium businesses and ordinary consumers around the world."
Eight years after launching, Alibaba Cloud
hosts 35 per cent of Chinese websites, while delivering cloud computing and big data services.
'100 MILLION NEW JOBS'
Ma said Alibaba was constantly adapting to the changing e-commerce environment,
as staying at the forefront of innovation was key to its continued success.
"In the coming years, we anticipate
the birth of a re-imagined retail industry driven by the integration of online, offline, logistics and data across a single
value chain," he said.
"With e-commerce itself rapidly becoming a "traditional business,"
pure e-commerce players will soon face tremendous challenges."
A shift to mobile revenue was one such
change, he said, with mobile climbing from a single-digit percentage to three-years of total revenue from Alibaba's Chinese
retail marketplaces, in the space of two years.
"This is why we are adapting, and it's why we strive to play a
major role in the advancement of this new economic environment," Ma said.
Innovations like Alibaba's Qianniu app,
which helps online businesses to improve sales and marketing while enhancing efficiency, were an example of the type of projects
the company aimed to focus on.
"In 20 years, we hope to serve two billion consumers around the world, empower
10 million profitable businesses and create 100 million jobs," Ma said, adding: "This will be an even more difficult
journey than the one behind us."
LISTEN : Newstalk ZB Political Editor Barry Soper speaks to Andrew Dickens on KPMG Early Edition
- who's worth around $50 billion - met with John Key in Beijing late yesterday. He made his money through founding the
online commerce platform Ali Baba.
Standing alongside the Prime Minister, he heaped praise on the country,
which he says is loved by many Chinese.
"At least 20 of my colleagues retired from Ali Baba. They're
all very young, in their 40s, they all go to New Zealand."
"I asked what they do
apart from the golf and green things and they say it's the people there."
It wasn't all
social, with the Chinese billionaire also talking business.
Jack Ma told the entrepreneurs luncheon Kiwi businesspeople
find it difficult to access the Chinese market.
Mr Ma said he wants to make that easier with his
"We have Ali Baba University. We would either have courses in
New Zealand or invite the entrepreneurs in New Zealand to stay in China for two weeks for training."
second is that we're going to open an Ali Baba business embassy next year in New Zealand."
is in China meeting business and political leaders.
Founder of Ali Baba commits his work for Chinese on internet to generate 100 million microentrepreneur
jobs in 2010s - who else would you vote at the centre of 100 million job creation leagues?
unlike oiher years spent with bangaldeshi inspired youth, i spent 2015-2016 mainly with a class of chinese
female students - what brilliant minds and tirelss sources of human energy - i hope this summary of why the whole world can
celebrate what jack ma is doing is near to the mark - but as always look forward to editing any errors which are mine alone
email@example.com washington dc text 240 316 8157
was english language tutoring
In 1995 he was sent to the usa on an exchange mission and encountered the worldwideweb - then unknown in China. He
determined the www would be the biggest job creating innovation of his (or his generations) life and hopefully of every Chinese
entrepreneur he could valuably link into.
Over the next 15 years his wizard coding teams went from something that
was little more than an electronic yellow pages for small businesses to conceiving sustainability generation's 2 greatest
retailing platforms china or the world may ever have seen..
the taobao platform is the most valuable job creating
concept retailers have ever mediated because it reverses the western trend of globalisiation of retailers, bankers and big
corporations squeezing out local and small enterprises from having a market; how taobao did that is an extraordinarily detailed
story but note how Ma was concerned to ensure even the most cut-off of Chinese villagers could start up on tao bao (rural
ecommerce is one of the innovations that Ma has led the www purpose to linkin)
His other mall was pitched at the
more usual high cost fashions of big global merchandisers. Because of complex property laws in chinese cities, most expensive
retailers are not much of a joy to shop in. So ali baba created a lifestyle -eg celebrate singles day 11/11 shopping virtually
rather than the physically exhausting interaction in The West's biggest shopping days of the year)
consumers of ali baba can choose who they value developing most with their purchasing power as well as searching merchandise
with global image or local cultural joy
Alibaba has become china's and probably the word's largest retailing channel.
It does this with next to no merchandise but brilliant coding so that every store front on its platforms delivers with equal
reliability. Hunting out exactly how Ma forms partnerships so that big data analysis benefits the smallest enterprises and
most local consumers ought to be a job of whomever is sustainability goals greatest economist.
ensure he could compete with the chinese internet companies that raced to co-create the www that Ma had opened space for in
china, Ma IPO'd Alibaba through a process 2010-2015 while developing his secret sustainability weapon under private ownership.
AlIpay is china's number 1 financial inclusion delivery system and maybe global youth most humanly productive coding achievement
Comparing china's top 10 internet properties with the west's is very interesting. Are the consuming behaviours
on ali baba more sustainable than those on amazon or ebay or paypal? Are the learnng behaviours on baidu more sustaining of
youth than on google or coursera or microsoft's linkedin. Time will tell but note how speaking english, chinese and coding
(as well as mother tongue) are probably what educators anywhere on planet earth should NOW be most valuing their global youth's
future freedom to thrive entrepreneurially around.
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