TipDM data mining modeling platform is a visual, one-stop, high-performance data mining and artificial intelligence modeling service platform, dedicated to providing users with access to data from data access, data preprocessing, model development and training, model evaluation and comparison, model The full link from application deployment to model task scheduling. The platform has built-in rich machine learning, deep learning, and artificial intelligence algorithms, which can cover application scenarios such as category classification, product recommendation, trend prediction, text processing, and image processing, and quickly and accurately help big data and artificial intelligence to empower industrial transformation and upgrading!
1. Product function (one-stop data mining and artificial intelligence modeling service platform)
- Visual modeling, zero coding and low threshold, easy to get started
It supports splicing algorithm components by dragging and dropping, quickly building data mining or artificial intelligence processes, interactively configuring algorithm component parameters, and implementing business logic in zero-coding mode, which greatly reduces the technical threshold of data mining and artificial intelligence applications. Friendly interface, simple and intuitive, easy to use.
- Multivariate data interaction to enhance application value
Support multi-mode and multi-type data input and output, including various databases, interface files and data files, etc., realize unified access and management of various data in enterprises, and lay a solid data foundation for model development and application.
- One-stop service, open up the whole link of data mining
Support CRISP-DM data mining standard process, one-stop function covering data access, data preprocessing, feature engineering, model training and debugging, model evaluation comparison, model application deployment of the whole process of modeling, realize data to model application in each link Data connections, data sources, algorithm components, projects, models, and scheduling tasks are managed in a unified manner, which helps to quickly mine the value of data.
- Full-scenario algorithm, multi-engine hybrid orchestration
In addition to traditional and mature machine learning algorithms, the platform also has built-in rich natural language processing and image processing algorithms, Word2Vec, text generation, image recognition, etc. to meet various segmentation scenarios and application directions. At the same time, it supports user-defined algorithms, with strong flexibility and scalability.
The underlying algorithm development supports multiple computing engines such as R, Python, and Spark. The platform creates a hybrid arrangement of multiple computing engines, providing real-time computing, offline analysis, machine learning algorithms, and artificial intelligence algorithms. The ability to call each other can realize an integrated, cross-language model develop.
- Collaborative sharing, resource interoperability
Support multi-tenant, multi-role permission management. For resources such as excellent data and modeling processes, it supports one-click sharing to designated users or public spaces, which facilitates the optimization of resource allocation. Excellent resources can be optimized with one-click fork to help you stand on the arms of giants.
2. Product advantages (microservice architecture, high-performance computing power)
- Microservice architecture, non-perceptual dynamic adjustment
Based on the microservice architecture, when it is predicted that a certain service instance may be under pressure, you can increase the concurrency of the system by adding a few more service instances, without stopping the service throughout the process, giving users a better experience. Service resources can be dynamically scaled to save money for your wallet.
- Big data architecture and GPU computing, high-performance computing power
Based on the big data architecture, it supports distributed storage, distributed parallel computing, memory computing, GPU computing, and horizontal expansion of server computing nodes to achieve efficient analysis of massive data and greatly improve server reliability and concurrent performance.
- Flexible model deployment, tailor-made
Model invocation methods can be selected according to business needs, including asynchronous, synchronous, etc.; the platform supports various modes such as privatization, online, and rental, and can also be customized for you.
- Support custom development and provide industry solutions
The platform provides API secondary development interfaces for each functional module to meet the secondary development needs of products; at the same time, it supports diversified and open cooperation models, including but not limited to customized development, providing platform-based letters and visits, electric power, radio and television, Transportation and other industry solutions, etc.
3. Value-added service (service creates value, professionalism wins trust)
- Customized additional services
We provide additional services based on the TipDM data mining modeling platform to meet your individual needs.
- additional services
Project Algorithm Development
Development of platform functions
Interface or logo design
Professional maintenance
- basic process
- Customers propose a customized list of requirements
- We conduct demand analysis
- Confirmation of needs by both parties
- Determine the duration and quotation
- Sign the contract and implement the development
- delivery acceptance