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Find Solution Ai
Hong Kong Island, China
D
11-50 Employees
2016
Key takeaway
The company leverages deep learning technologies and big data analytics to transform education, medical diagnostics, and e-commerce, offering innovative and personalized learning experiences.
Reference
Product
Products | findsolutionai
Xiaoi Robot
Huangpu District, China
D
251-500 Employees
2001
Key takeaway
The company, Xiao-i, emphasizes its commitment to advancing artificial intelligence technology, which is central to deep learning applications. With extensive experience since 2011, it has developed numerous use cases across various sectors, showcasing its capabilities in delivering innovative AI solutions.
Reference
Core business
Cognitive Intelligence AI Solution Provider | Xiao-i
Leading Edge Group Limited
Kowloon, China
D
11-50 Employees
2014
Key takeaway
Leading Edge Group provides data analytics solutions for the insurance industry, emphasizing their expertise in machine learning and effective profit analysis through various data sources.
Reference
Product
Quick Start Machine Learning - Hong Kong Top Data Analytics
Leading Edge Machine Learning service.
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Zedtech solutions Co. Ltd
Shenzhen, China
D
1-10 Employees
2020
Key takeaway
Zed Tech, a leading MLaaS provider in Southeast Asia, specializes in deep learning and AI model training. Their focus on predictive analytics and data transformation highlights the significant opportunities that machine learning presents for future technological advancements.
Reference
Core business
深圳市智觉科技有限公司
Datatang
Dongcheng District, China
D
501-1000 Employees
2011
Key takeaway
Datatang is a leading provider of AI data solutions, offering over 500 datasets and tailored services that enhance the performance of AI models, making it a valuable resource for deep learning applications. With extensive collections in speech recognition and natural language processing, Datatang supports the development of innovative machine learning projects.
Reference
Core business
Sharpen Your AI with Better Data - AI Data Collection and annotation
Datatang provides off-the-shelf artificial intelligence training datasets, on-demand data collection & annotation solutions that power the world's most innovative Machine Learning.
MindLayer
Hong Kong Island, China
D
11-50 Employees
2015
Key takeaway
MindLayer offers an AI-powered customer service solution that utilizes advanced Natural Language Processing (NLP) and trilingual ChatBot Technology, highlighting its commitment to innovative AI applications.
Reference
Core business
Mindlayer | Chat in Intelligent MIND & Multi-LAYER | AI Enterprise Solution
MindLayer provides AI-powered customer service solution leverages NLP engine and trilingual ChatBot & Voicebot Technology.
ThinkCol
Hong Kong Island, China
D
11-50 Employees
2016
Key takeaway
ThinkCol is an artificial intelligence and data science consultancy that specializes in creating customized AI and machine learning solutions. They have experience in defining and executing AI use cases, which may include deep learning applications, as evidenced by their work with startups and companies like Lenovo.
Reference
Core business
Thinkcol | Hong Kong | Leading AI Consultancy Company
DeepTranslate Limited
Hong Kong Island, China
D
11-50 Employees
2018
Key takeaway
DeepTranslate leverages a team of AI deep learning specialists to enhance the quality and efficiency of its translation processes. Their automated project management system streamlines translation and ensures accuracy, making it a trusted choice for digital translation experiences.
Reference
Product
Features - deeptranslate.hk
DeepTranslate transforms your translation processes into accurate, efficient and trusted digital experiences. Automated Project Management Our AI system automates the process of translation and calling figures, as well as the construction of customised translation memory (“TM”). Workflow automation will boost productivity and ease the workload of manual labour. Quality Assurance on the Data Our professional […]
Magic Data Tech
Haidian District, China
D
- Employees
2016
Key takeaway
Magic Data specializes in providing high-quality training and test data for AI models, particularly in the contexts of intelligent cockpit and autonomous driving, which are crucial for enhancing the performance of deep learning applications. With a focus on industry expertise and a comprehensive AI data solution, the company is dedicated to optimizing AI models and supporting businesses in their AI-driven initiatives.
Reference
Core business
Magic Data - Training Datasets for Conversational AI - Magic Data
LeapLearner
Huangpu District, China
D
11-50 Employees
2016
Key takeaway
LeapLearner is dedicated to providing high-quality coding education, including courses in AI and robotics for kids aged 5-14. Their platform offers personalized learning solutions and prepares students for future careers in technology.
Reference
Core business
World's #1 Edtech company for Coding, Robotics & AI for kids.
Best Online Coding Courses for ages 5-14: Scratch, Python, App Development, AI & Robotics Courses . Certification by ICode.org, Global Bootcamps & Hackathons Opportunities for all students.
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EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
Use case
EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
When exploring the deep learning industry in China, several key considerations emerge. The regulatory environment is crucial, as the Chinese government has implemented strict data privacy laws and cybersecurity regulations that impact how companies operate. Understanding these regulations is vital for compliance and to avoid legal pitfalls. The competitive landscape is intense, with numerous domestic firms and significant investments from tech giants like Baidu, Alibaba, and Tencent, which drive innovation and development. Additionally, the rapid pace of technological advancement presents both opportunities and challenges; staying updated on the latest trends and breakthroughs is essential for success. Environmental concerns also play a role, as the energy consumption of deep learning models is substantial, prompting a growing focus on sustainable practices within the industry. Furthermore, as China aims to become a global leader in AI, there are opportunities for collaboration with international firms, but understanding the geopolitical climate is necessary for navigating potential trade barriers. Finally, the global market relevance of China's deep learning sector cannot be overlooked, as its advancements have implications for various industries worldwide, from healthcare to finance. By considering these factors, individuals can gain a clearer perspective on the opportunities and challenges present in China's deep learning landscape.
Some interesting numbers and facts about your company results for Deep Learning
| Country with most fitting companies | China |
| Amount of fitting manufacturers | 99 |
| Amount of suitable service providers | 57 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2001 |
| Youngest suiting company | 2020 |
Some interesting questions that has been asked about the results you have just received for Deep Learning
What are related technologies to Deep Learning?
Based on our calculations related technologies to Deep Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Other, Education, Automation, Finance and Insurance
How does ensun find these Deep Learning Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.