China AI and Big Data Talent Assessment

Transcription

1 China AI and Big Data Talent Assessment 2018

2 AGENDA 01 Demand Analysis KEY HIGHLIGHTS 02 Location Deep Dive Analysis 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 25 25

3 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 Mature AI talent pool concentrated across Tech giants, and Universities 1. Tech giants employ large scale AI/BD talent pool concentrated in tier-1 locations like Shanghai, Beijing and Shenzen Baidu Tencent Alibaba DiDi Huawei ~2,000 AI/BD engineers employed 39+ Equity deals since 2014 in AI/ML based startups 26 bn+ AI/BD Spend annually 2. Mature deep learning start-ups: 30+ deep learning start-ups with more than 200 million dollar funding are concentrated in tier 1 locations. 30+ Deep learning start-ups Face++ ~USD 600 Mn icarbonx ~USD 200 Mn Sensetime ~USD 1 Bn 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 26 26

4 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 Key Employers Total Employable Talent Top Verticals G500 companies 60K+ Consumer Software, Enterprise Software, Retail AI/Big Data start-ups 28K+ Supply Drivers Total Number 500+ AI/Big Data Universities ~14 Talent Quality Talent Scalability # Cost Benefits Beijing 42% Shanghai 35% Shenzhen 18% Tech Tech Tech 37K+ Talent 43% 57% 30K+ Talent 36% 64% 16K+ Talent 33% 67% China has high quality deployment ML and analytics talent Highly scalable due to large fresh university talent supply Headcount Distribution (By Skills) China has among the lowest talent cost for the given talent quality 56% 20% 16% 5% 3% Others 5% 4.7K+ Talent Data Scientist Analyst: Data Management Database Engineering Data Architect Applied AI 27 27

5 Deep Vision, Deep Search and Healthtech are the key AI/BigData focus segments by BAT Total AI/BD talent across top 5 players ~ 1500 Tech companies ML/Big Data Headcount Data Scientist Database Engineer Applied ML Data Architect Analyst Data Management ~370 76% 8% 6% 1% 9% 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. ~425 74% 15% 3% 4% 4% Is the most popular search engine in China. Created Raven H, a voice activated speaker that s built upon an AI platform ~400 78% 13% 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. ~100 71% 16% 6% 2% 5% Created the world s first whole process unmanned warehouse in Shanghai to increase logistics efficiency. ~280 72% 11% 3% 5% 9% 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 28 28

6 Baidu and Tencent attract mature deep learning talent from Tier-1 Chinese Universities Tech companies Maximum number of employees hired from Work Profile Tsinghua University, Peking University, Huazhong University Maximum number of employees hired from Work Profile Tsinghua University, University of Science and Technology of China, Peking University Most of the employees have worked in Baidu, Microsoft Most of the employees have worked in Microsoft, Tencent Work Experience 3-5 years Work Experience 6-10 years Deep Learning Software engineer Senior Data Analyst Engineer at Tencent Staff Software Engineer Senior Data Analyst

7 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 Tech companies Work Profile Work Profile Maximum number of employees hired from Zhejiang University, Tsinghua University, Peking University Maximum number of employees hired from Tsinghua University, Zhejiang University, Huazhong University Most of the employees have worked in Baidu, Microsoft, IBM Most of the employees have worked in IBM, Nokia Work Experience 6-10 years Work Experience >10 years Senior Algorithm Expert at Alibaba Group Advanced Technical Expert AI service leader and Algorithm Architect, Cloud BU Senior Data Architect 30 30

8 Deep learning, healthcare and facial recognition start-ups attract mature skills from Tier-1 universities and Tech giants Total Start-Up Talent pool Top Verticals/ Tech focus Face Recognition Key Key Job profiles Previous Experience Software Engineer Technical Director Tech companies Workloads/ Skills In charge of Drive Monitoring System Solution Design development Computer Vision Algorithm developing for video and image Focus on Large Scale Intelligent Video Analysis products Overseeing several AI products and corresponding technical architecture 390+ Total Number of AI/Big Data Healthcare NLP Engineer Deep learning product architect Distributed Machine Learning Platform R&D Engineer Design and upgrade question answering systems Large-scale well-tagged dialogs for model training. Develop deep learning apps in medical image detection and classification using MXNet Investigate the implementation of mainstream large-scale machine learning / deep learning framework and related technical theories Semiconductor Algorithm Engineer Reinforcement learning, simulator/training platform, learning-based lane decision, path planning & control. ~$52K Algorithm Engineer Semantic 3D Mapping, SLAM, 3D Reconstruction, Deep Learning, Semantic Segmentation Median Salary Robotics Software Engineer To build secure, high-performance, low-latency private network that functions as the nerve transmission system" for CloudMinds intelligent robots 31 31