Introduction

Welcome to the comprehensive documentation for Ditto Hybrid Platform. This guide provides step-by-step instructions for installation, configuration, and optimizing your use of Ditto Hybrid Platform.

Ditto Hybrid Platform is an innovative System Analysis Application tailored for individuals and organizations requiring expedited and accurate analytical processes. By leveraging advanced Artificial Intelligence methodologies and machine learning algorithms, Ditto Hybrid Platform delivers unparalleled efficiency and precision.

With Ditto Hybrid Platform, your analytical tasks are driven by sophisticated rules and algorithms meticulously defined by domain experts. The system empowers users to create customized projects based on their unique datasets, offering flexibility and adaptability to diverse analytical needs. Additionally, Ditto Hybrid Platform generates in-depth reports, providing actionable insights to inform decision-making processes.

Key Features:

  • Advanced AI and machine learning integration for superior analysis.

  • Customizable project creation to meet specific requirements.

  • Detailed and professional-grade report generation.

  • Expert-driven rules and algorithms for enhanced accuracy.

We are committed to ensuring that your experience with Ditto Hybrid Platform is seamless and productive. Whether you are a seasoned professional or new to system analysis, this documentation will guide you every step of the way.

Latest Documentation Release

Version: 3.0.5

Release Date: 15 May 2025

This updated documentation introduces advanced configuration guidance for optimizing Apache Tomcat and MySQL when deploying Ditto Hybrid Platform in environments that handle large-scale models and high-throughput workloads. These enhancements ensure better performance, improved stability, and seamless handling of long-running tasks such as model training and large data transactions.

Key updates in this documentation release include:

  • Apache Tomcat Optional Configuration: Step-by-step guide to configure JVM heap size, and advanced memory tuning via Tomcat9w.exe for improved application performance on systems with limited or high memory capacity.

  • MySQL Optional Configuration for Large-Scale Models: Recommended settings for max_allowed_packet, connect_timeout, net_read_timeout, binlog_row_event_max_size, and other critical parameters to support large data payloads, long-running training sessions, and replication reliability.

This documentation update provides administrators and developers with practical configuration examples and best practices to optimize system resources and ensure stable operation under demanding workloads.

Offline Documentation

For your convenience, an offline version of this documentation is available for download: Ditto Hybrid Platform Web Client - Administrator Guide.pdf

Priority support is available through our dedicated team at Innocop

We continually strive to enhance Ditto Hybrid Platform and welcome your feedback to further improve our offerings.