China AI and Big Data Talent

Assessment

2018

2525

AGENDA

Demand Analysis01

Location Deep Dive Analysis02

• Location Characteristics: Key hotspots, cost

analysis and top employers

• Workloads across G500, start-ups and service

providers

• Talent characteristics of G500 and Start-Ups

employers

• Talent profile deep dive

KEY HIGHLIGHTS

2626

China: Chinese tech giants have the majority of engineering teams based in Tier-1 locations; Chinese Deep learning start-ups have scaled globally during last 2 years raising multi million dollar late stage rounds

2. Mature deep learning start-ups: 30+ deep

learning start-ups with more than 200 million dollar funding are concentrated in tier 1 locations.

1. Tech giants employ large scale AI/BD talent

pool concentrated in tier-1 locations like Shanghai, Beijing and Shenzen

~2,000 AI/BD engineers

employed

26 bn+AI/BD

Spend annually

39+Equity deals since

2014 in AI/ML based startups

30+Deep learning start-ups

Face++~USD 600 Mn

iCarbonX~USD 200 Mn

Sensetime~USD 1 Bn

BaiduTencentAlibabaDiDi

Huawei

3. Mature University Ecosystem: Chinese

technical universities produce ~80,000+ fresh AI/ML talent annually.

20+Tiet-1 Universities with PhD programmes in AI/Big Data

30+ universities

with undergraduate course in AI and Machine Learning

Mature AI talent pool concentrated across Tech giants, Start-ups and Universities

Note : DRAUP’s Talent Simulation Module . We have analysed ~2,000 tech companies and ~10,000 start-ups.

2727

China: Shanghai and Beijing are the key hotspots with high paying skills employed across BAT; Tier-2 locations are maturing rapidly due to migration, strengthening infrastructure such as Megalopolis

Beijing

43%

57%Start-ups

Tech

Companies

37K+ Talent

42%

Shanghai

36%

64%Start-ups

Tech

Companies

30K+ Talent

35%

Shenzhen

33%

67%Start-ups

Tech

Companies

16K+ Talent

18%

Supply Drivers

Talent Quality Talent Scalability# Cost Benefits

China has high quality deployment ML and

analytics talent

Highly scalable due to large fresh university talent

supply

China has among the lowest talent cost for the

given talent quality

56%

Data Scientist

20%

Analyst:Data Management

16%

DatabaseEngineering

5%

Data Architect

3%

Applied AI

Headcount Distribution(By Skills)

Key Employers Total Employable Talent

AI/Big Data start-ups

G500 companies 60K+

500+

AI/Big Data Universities ~14

Top Verticals

28K+Total Number

Consumer Software, Enterprise Software,

Retail

Others

5%

4.7K+ Talent

Note : DRAUP’s Talent Simulation Module . We have analysed ~2,000 tech companies and ~10,000 start-ups.

2828

Deep Vision, Deep Search and Healthtech are the key AI/BigData focus segments by BAT

Data

Scientist

Database

Engineer

Applied

ML

Data

Architect

Analyst –

Data

Management

~425 4%Is the most popular search engine in China. Created Raven H, a voice activated speaker that’s built upon an AI platform

~400 1% 3% 5%

Created a program called ET Brain, which uses AI to improve traffic and city planning, increase airport efficiency and diagnose illness. Have created Tmall Genie, similar to Amazon’s Echo.

~370 1%

Operates an AI incubator and accelerator platform called WeStart, which acts as a bridge to connect industry partners and further the application of AI technology into different industry sectors.

~100 2%Created the world’s first whole process unmanned warehouse in Shanghai to increase logistics efficiency.

~280 3% 5%Huawei is the highest ranked AI chip manufacturer in China. Signed an agreement with Baidu in December 2017, to build an open mobile AI ecosystem

ML/Big Data

Headcount

Total AI/BD talent across top 5 players ~ 1500

72%

3%

6%

5%

4%

6%

8% 9%

15%

13%

16%

9%11%

71%

78%

74%

76%

Tech companies Start-ups

Note : DRAUP’s Talent Simulation Module . We have analysed ~2,000 tech companies and ~10,000 start-ups.

2929

Baidu and Tencent attract mature deep learning talent from Tier-1 Chinese Universities

Education

Past

Companies

Work Experience in years

Senior Data Analyst

Work Experience in years

Staff Software Engineer

Work Experience in years

Deep Learning Software engineer

Work Experience in years

Senior Data Analyst Engineer at Tencent

Past

Companies

Education

Past

Companies

29

Past

Companies

Education Education

Work Profile Work Profile

Maximum number of employees hired from Tsinghua University, Peking University, Huazhong University

Most of the employees have worked in Baidu, Microsoft

Work Experience 3-5 years

Maximum number of employees hired fromTsinghua University, University of Science and Technology of

China, Peking University

Most of the employees have worked in Microsoft, Tencent

Work Experience 6-10 years

Tech companies Start-ups

Note : DRAUP’s Talent Simulation Module . We have analysed ~2,000 tech companies and ~10,000 start-ups.

3030

Alibaba and Huawei have acquired talent from Global US based peer MNCs such as Microsoft and IBM; Key talent attraction factors are high paying jobs and better career prospects

Education

Past

Companies

Work Experience in years

Senior Data Architect

Work Experience in years

AI service leader and Algorithm Architect, Cloud BU

Work Experience in years

Senior Algorithm Expert at Alibaba Group

Work Experience in years

Advanced Technical Expert

Past

Companies

Education

Past

Companies

Education

Work Profile Work Profile

Past

Companies

Education

Maximum number of employees hired from Zhejiang University, Tsinghua University, Peking University

Most of the employees have worked in Baidu, Microsoft, IBM

Work Experience 6-10 years

Maximum number of employees hired from Tsinghua University, Zhejiang University, Huazhong University

Most of the employees have worked in IBM, Nokia

Work Experience >10 years

Tech companies Start-ups

Note : DRAUP’s Talent Simulation Module . We have analysed ~2,000 tech companies and ~10,000 start-ups.

3131

Deep learning, healthcare and facial recognition start-ups attract mature skills from Tier-1 universities and Tech giants

FaceRecognition

Healthcare

Semiconductor

Top Verticals/Tech focus

Key Start-ups Key Job profiles Previous Experience

Robotics

Workloads/ Skills

• Software Engineer

• In charge of Drive Monitoring System Solution Design development

• Computer Vision Algorithm developing for video and image

• Technical Director

• Focus on Large Scale Intelligent Video Analysis products

• Overseeing several AI products and corresponding technical architecture

• NLP Engineer• Design and upgrade question answering systems• Large-scale well-tagged dialogs for model training.

• Deep learning product architect

• Develop deep learning apps in medical image detection and classification using MXNet

• Algorithm Engineer• Semantic 3D Mapping, SLAM, 3D Reconstruction,

Deep Learning, Semantic Segmentation

• Software Engineer

• To build secure, high-performance, low-latency private network that functions as the “nerve transmission system" for CloudMinds’ intelligent robots

• Reinforcement learning, simulator/training platform, learning-based lane decision, path planning & control.

• Algorithm Engineer

• Distributed Machine Learning Platform R&D Engineer

• Investigate the implementation of mainstream large-scale machine learning / deep learning framework and related technical theories

390+

Total Number of AI/Big Data Start-ups

~$52K

Median Salary

Total Start-Up Talent pool

Tech companies Start-ups

Note : DRAUP’s Talent Simulation Module . We have analysed ~2,000 tech companies and ~10,000 start-ups.

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