数据科学平台CyberScience

1. 产品描述：随着AI技术的极速发展，AI能力正在助力产业加速场景化落地。CyberScience是数新网络面向开发者和企业的一站式AI数据科学平台，提供交互式和可视化建模服务，算法模型全生命周期管理。平台可帮助开发者快速开发AI应用，解决本地代码维护不方便、数据传输不安全、模型部署工程难等现实问题，从而提升团队协同效率，以信息化的手段引领技术创新，为客户提供全方位AI管理服务。2. 产品功能：数据接入支持图像、文本、音频等多模态数据的数据类型；并提供MySQL、Oracle、MongoDB、TDengine等20+种数据源进行接入可视化建模支持画布拖拉拽形式的可视化建模，封装数据读取、数据预处理、特征工程、统计分析、机器学习、深度学习、模型评估等100+算子，帮助用户实现无代码化建模编程式建模提供交互式Notebook编程式建模，支持Python、spark、R、C、C++、SQL等多语言进行数据分析和机器学习建模模型部署支持PMML、pickle和pth等模型文件类型进行线上部署和调用，并支持RESTful API调用3. 产品优势：一站式支持一站式机器学习平台能力，只要准备好训练数据集，所有建模工作（包括数据接入、数据预处理、特征分析、模型训练、模型评估、模型发布）都可通过平台实现无代码开发封装100+可视化建模算子，支持无代码化机器学习/深度学习，降低产品使用门槛。灵活建模支持常见的编程语言和多种数据处理方式，支持模型部署 ，满足企业定制化需求多数据源支持结构化、非结构化等5种以上数据库类型，提供20+种数据源接入，灵活切换使用不同数据源深度学习支持主流深度学习框架，并加入 GPU 算力支撑，助力海量数据以及复杂模型的训练及实际应用。4. 应用场景：AI教育实训CyberScience可以帮助您构建一个安全可靠的人工智能教学实训平台。平台包含丰富课程和案例资源，以拖拽式、低代码方式进行数据处理和可视化分析，为老师和学生提供了AI建模的实验环境，满足高校对内、对外的教学课程设计、实验实训、科研训练等多方面需求。智能推荐引擎使用CyberScience可以对用户、物品、行为和场景信息等多维度数据进行算法处理，快速搭建智能推荐引擎。平台通过对多种推荐算法进行建模，配置实时调度任务，实现智能实时推荐，降低运营人员的人力成本，提高流量的转换率。智能风控系统CyberScience 平台整合大数据体系通过强化算法、算力等人工智能技术对风险进行深度挖掘结合指标、规则、模型、决策流等组合计算，对风控目标进行风险的控制和风险量化提示，高效、准确地实现全链路风险控制的自动化。5. 产品成效：某大学数据分析平台：数据科学平台为学校提供教学一体的实训平台，教师通过创建课程，在课程中配置课程内容、数据集和建模环境，根据学生名单开放权限；学生登录平台根据所学课程，创建实验进行建模，完成相应课程的学习和作业的提交。

1. Product Description: With the rapid development of AI technology, AI capabilities are accelerating scenario-based implementation across industries. CyberScience is a one-stop AI data science platform from Shuxin Network, targeting developers and enterprises, offering interactive and visual modeling services as well as full lifecycle management of algorithm models. The platform helps developers rapidly build AI applications, solving practical pain points such as inconvenient local code maintenance, insecure data transmission, and difficulties in model deployment engineering, thereby improving team collaboration efficiency, leading technological innovation via informatization means, and providing customers with comprehensive AI management services.
2. Product Features: Data Access: Supports multi-modal data types including images, text, audio, etc., and provides access to over 20 types of data sources such as MySQL, Oracle, MongoDB, TDengine. Visual Modeling: Supports drag-and-drop visual modeling on the canvas, encapsulates more than 100 operators including data reading, data preprocessing, feature engineering, statistical analysis, machine learning, deep learning, and model evaluation, enabling users to complete no-code modeling. Programmatic Modeling: Provides interactive Notebook-based programmatic modeling, supporting multiple languages including Python, Spark, R, C, C++, and SQL for data analysis and machine learning modeling. Model Deployment: Supports online deployment and invocation of model files in formats such as PMML, pickle, and pth, and enables RESTful API calls.
3. Product Advantages: One-stop Capability: Delivers full-stack machine learning platform functions. Once the training dataset is ready, all modeling work including data access, data preprocessing, feature analysis, model training, model evaluation, and model release can be completed via no-code development on the platform. Abundant Operators: Encapsulates over 100 visual modeling operators, supporting no-code machine learning/deep learning to lower the product usage threshold. Flexible Modeling: Supports common programming languages and various data processing methods, as well as model deployment, to meet enterprises' customized needs. Multi-data Source Support: Supports more than 5 types of data storage categories including structured and unstructured data, provides access to over 20 types of data sources, enabling flexible switching between different data sources. Deep Learning Support: Integrates mainstream deep learning frameworks and is equipped with GPU computing power, facilitating the training and practical application of massive data and complex models.
4. Application Scenarios: AI Education and Training: CyberScience can help build a secure and reliable AI teaching and training platform. The platform offers rich course and case resources, enabling data processing and visual analysis via drag-and-drop and low-code methods, providing teachers and students with an AI modeling experimental environment to meet colleges and universities' diverse needs for internal and external teaching course design, experimental training, and scientific research training. Intelligent Recommendation Engine: Using CyberScience, algorithmic processing can be conducted on multi-dimensional data such as user, item, behavior and scene information to rapidly build an intelligent recommendation engine. The platform models various recommendation algorithms and configures real-time scheduling tasks to achieve intelligent real-time recommendation, reducing operation staff's labor costs and improving traffic conversion rates. Intelligent Risk Control System: The CyberScience platform integrates the big data system, deeply excavates risks via AI technologies including enhanced algorithms and computing power, and combines indicators, rules, models, decision flows and other combined calculations to conduct risk control and risk quantification prompts for risk control targets, efficiently and accurately realizing the automation of full-chain risk control.
5. Product Effects: A University Data Analysis Platform: The data science platform provides the school with an integrated teaching and training platform. Teachers can create courses, configure course content, datasets and modeling environments in the courses, and grant permissions based on student rosters; students log in to the platform, create experiments for modeling according to their enrolled courses, and complete corresponding course learning and assignment submission.

搜集汇总

背景与挑战

背景概述

数据科学平台CyberScience是一个一站式AI数据科学平台，提供交互式和可视化建模服务，支持多种数据源接入和编程语言建模，适用于AI教育实训、智能推荐引擎和智能风控系统等多个应用场景。