Achieving AI Success

AI algorithms rely on high-quality, consistent data to generate accurate insights and predictions. Stibo Systems Platform ensures that master data – such as customer, product and supplier information – is cleansed, standardized and maintained at a high level of quality.

This ensures that AI models receive high-quality training data, leading to enhanced model performance and improved decision making.

AI models always require preprocessed data and engineered features to extract meaningful patterns and relationships. Stibo Systems Platform facilitates data preparation and feature engineering by providing clean, structured master data that serves as a foundation for AI analysis.

By preparing master data in advance, you can accelerate the development and deployment of AI models, reducing time to insight and time to market.

Stibo Systems Platform provides a centralized repository for storing and managing master data from various sources and systems across your organization.

By integrating disparate data sources, it enables AI applications to access a comprehensive and unified view of data, regardless of its source or format. This accessibility facilitates more holistic analysis and modeling by AI algorithms, leading to richer insights and recommendations.

AI models require context to interpret and analyze data effectively. Stibo Systems Platform enriches master data with metadata, hierarchies and relationships that provide context and meaning to the data. This enrichment can include linking internal records with external sources like social media profiles and industry databases.

This contextual understanding enables AI algorithms to make more informed decisions and predictions by considering the broader context in which the data is used.

This includes using master data retrieval augmented generation scenarios, as well as using master data for fine-tuning models, including small language models (SLMs).

Stibo Systems Platform establishes governance policies and controls for managing master data, including data access, privacy and usage rights.

By enforcing governance standards, the platform helps you maintain data integrity and meet regulatory requirements, reducing the risk of errors, bias or misuse in AI-driven processes.

Training AI models on compliant data also reduces legal risks and liability to your organization.

Stibo Systems Platform supports iterative data management processes that enable you to continuously refine and improve your organization’s AI models over time.

By capturing feedback, monitoring performance and incorporating new data into master data repositories, the platform facilitates ongoing learning and adaptation of AI algorithms. This continuous improvement cycle ensures that AI applications remain effective and relevant as business conditions and data environments evolve.