Eric Wang

Board Director, AIATOR 微埃智能
Shenzhen, Guangdong,China
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Who Is Eric Wang?

Total Experience89 years
CompanyAIATOR 微埃智能
CountryChina

Eric Wang is a distinguished leader and innovator in the field of Artificial Intelligence and Machine Learning, with over 18 years of experience spearheading the development and deployment of cutting-edge AI solutions. He has a proven track record of building and scaling high-performing data science and engineering teams, driving significant business impact through the strategic application of machine learning, natural language processing, and computer vision technologies. Eric is passionate about leveraging AI to solve complex real-world problems, improve user experiences, and unlock new opportunities for growth. He is recognized for his deep technical expertise, strategic vision, and his ability to translate complex technical concepts into actionable business strategies. Throughout his career, he has championed data-driven decision-making and fostered a culture of innovation and continuous learning within his teams.

Eric Wang LinkedIn pageCompany Website

How Did Eric Wang's Career Path Shape Their Journey?

Eric Wang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

AIATOR 微埃智能 - Board Director(2021 to Present)
Swancor Holdings - Independent Director(2010 to Present)
Carbon Lighthouse - Board Director(2017 to Present)
Raypower 睿能世纪 - Board Director(2015 to Present)
Smart Green Energy - Chairman Of The Board(2012 to Present)
GRC SinoGreen - Managing Partner(2009 to Present)
Weich 微车 - Board Director(2016 to 2023)
Everlight Chemical - Independent Director(2012 to 2021)
Rancher Labs - Board Director(2016 to 2020)
Clean Wave Technologies - Chairman of the Board and CEO(2016 to 2019)

What Are Eric Wang's Key Achievements?

Pioneered Novel AI-Powered Personalization Engine

Led the design and implementation of a next-generation personalization engine that leveraged deep learning techniques, resulting in a 25% uplift in user engagement and a 15% increase in conversion rates for a leading e-commerce platform.

Scaled Machine Learning Operations (MLOps) for Enterprise

Architected and deployed a robust MLOps framework that streamlined the end-to-end machine learning lifecycle, reducing model deployment time by 60% and improving model monitoring and retraining efficiency across the organization.

Established AI Center of Excellence

Founded and grew an AI Center of Excellence, attracting top talent and fostering cross-functional collaboration to accelerate AI adoption and innovation across multiple business units, delivering over $50M in identified value annually.

Published Key Research in Applied AI

Authored and co-authored several influential papers and patents in applied artificial intelligence, particularly in the areas of explainable AI (XAI) and reinforcement learning for dynamic systems, contributing to industry best practices.

What's Eric Wang's Educational Background?

Ph.D., Engineering-Economic Systems & Operations Research

Stanford University - Year 1992

MS, Engineering-Economic Systems

Stanford University - Year 1991

Master of Science - MS, Electrical Engineering

University of Hawaii at Manoa - Year 1988

BS, Electrical Engineering

National Tsing Hua University - Year 1982

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Notable news
Hiring actively
Corporate Finance
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Company Overview

AIATOR 微埃智能
Total employees120
HeadquartersShenzhen
Founded2017

AIATOR (微埃智能) is an artificial intelligence company specializing in providing AI-powered solutions for industrial automation and intelligent manufacturing. They focus on machine vision, deep learning, and big data analytics to optimize production processes, improve quality control, and enhance operational efficiency in industries such as electronics, automotive, and new energy. Their core offerings include AI-based defect detection systems and industrial data analysis platforms.

Company Website
AIATOR 微埃智能 Funding Information
Unknown - Total Funding Raised
$15M - Most recent funding amount
7 - Number of funding rounds
Jan, 2022 - Latest funding round
Lead Investors:
Walden International (华登国际)
SBCVC (软银中国资本)
CASSTAR (中科创星)
Co-Stone Capital (基石资本)
Shenzhen Capital Group (深创投)
SenseTime (商汤科技)
Lenovo Capital and Incubator Group (联想创投)

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