Cloud Data Intelligence Lab_Integrated Training with Rich Industry Cases

Cloud Data Intelligence Lab

The integration of open-source communities and artificial intelligence drives continuous innovation and breakthroughs in large model applications. New trends in industry-education integration, alongside advancements in key technologies like the metaverse and digital twins, collectively promote the construction and development of integrated "School + Virtual + Base" AI and big data talent cultivation labs, supplying the industry with professionals.

The convergence of open-source communities and AI fuels large model innovation. Progress in industry-education integration, metaverse, and digital twin technologies fosters the development of integrated "School + Virtual + Base" AI and big data labs, cultivating professionals for the industry.

Industry Pain Points

Consult Now

Outdated Architecture Design

Traditional training platforms suffer from outdated architecture, unable to meet multi-scenario applications like teaching, learning, research, practice, and assessment.

Inadequate Content

Existing platforms offer thin content and singular datasets, failing to guide students in practical application for current studies and future work.

Outdated Technology

Teaching and training need to keep pace with big data advancements, providing teachers and students with the latest technologies and tools for big data business analytics.

Value Proposition

Technological Cutting Edge

The platform fully integrates big data and AI technologies, providing state-of-the-art tools and techniques.

Abundant Resources

Based on real business scenarios, it provides practical case datasets, course resources, and realistic training experiences, helping students master the most practical methods and skills.

Comprehensive Scenarios

It supports an all-in-one data science training platform for teaching, learning, research, practice, and assessment, meeting multi-scenario application needs.

Technological Cutting Edge

The platform fully integrates big data and AI technologies, providing state-of-the-art tools and techniques.

Abundant Resources

Based on real business scenarios, it provides practical case datasets, course resources, and realistic training experiences, helping students master the most practical methods and skills.

Comprehensive Scenarios

It supports an all-in-one data science training platform for teaching, learning, research, practice, and assessment, meeting multi-scenario application needs.

Solution Architecture

Customer Cases

Consult Now

Analytics Platform for an International University

随着大数据分析成为高校大数据/AI课程必不可少的一部分，开发包含大型数据集的案例至关重要。数据分析平台（Data Analytics Platform）采用在线数据集成工具，并使用SSL加密保护数据的安全性，并方便数据传输和使用。该平台集成主流数据分析和建模工具，使用公有云资源建立线上实验室（Lab），满足不同老师和学生线上教学研究需求，支持深度学习框架和GPU算力，极大方便大数据场景下提取数据价值。平台采用国际通用的LTI通讯模式，大大方便了各国际平台之间的交互。

随着大数据分析成为高校大数据/AI课程必不可少的一部分，开发包含大型数据集的案例至关重要。数据分析平台（Data Analytics Platform）采用在线数据集成工具，并使用SSL加密保护数据的安全性，并方便数据传输和使用。该平台集成主流数据分析和建模工具，使用公有云资源建立线上实验室（Lab），满足不同老师和学生线上教学研究需求，支持深度学习框架和GPU算力，极大方便大数据场景下提取数据价值。平台采用国际通用的LTI通讯模式，大大方便了各国际平台之间的交互。