Machine Learning Models

In the business context of machine learning, Data Contracts are vital protectors of model performance. They establish concise criteria for data quality, volume, timing, and structure. Their purpose is to guarantee that machine learning models always obtain the appropriate data for superior performance, despite changing data environments.

Machine Learning Models

In the business context of machine learning, Data Contracts are vital protectors of model performance. They establish concise criteria for data quality, volume, timing, and structure. Their purpose is to guarantee that machine learning models always obtain the appropriate data for superior performance, despite changing data environments.

Problem

Machine learning models require consistent, high-quality data for training and inference. Variations in data quality or structure can lead to model performance degradation.

Solution

Data contracts define the quality, volume, timeliness, and data structure required for machine learning pipelines. They ensure that the data feeding into models is suitable for the task and that changes in the data are appropriately managed to avoid impacting model accuracy.

Problem

Machine learning models require consistent, high-quality data for training and inference. Variations in data quality or structure can lead to model performance degradation.

Solution

Data contracts define the quality, volume, timeliness, and data structure required for machine learning pipelines. They ensure that the data feeding into models is suitable for the task and that changes in the data are appropriately managed to avoid impacting model accuracy.

More Use Cases

Third-Party Data Exchanges

In the context of exchanging data with third parties, Data Contracts play a critical role in ensuring security and compliance. They establish protocols for data management that promote responsible practices and alignment with legal and quality standards. This, in turn, diminishes risk for organizations and their external associates.

Learn more

Interdepartmental Data Sharing

In interdepartmental data sharing, Data Contracts provide a shared data framework that facilitates effective communication and builds trust between departments. The result is a streamlined integration that enhances data quality throughout the organization, yielding long-term benefits.

Learn more
Dr. Larysa Visengeriyeva
Head of Data and AI
Make an appointment

We’d love to assist you in your digitalization efforts from start to finish. Please do not hesitate to contact us.

More Use Cases

Third-Party Data Exchanges

In the context of exchanging data with third parties, Data Contracts play a critical role in ensuring security and compliance. They establish protocols for data management that promote responsible practices and alignment with legal and quality standards. This, in turn, diminishes risk for organizations and their external associates.

Learn more

Interdepartmental Data Sharing

In interdepartmental data sharing, Data Contracts provide a shared data framework that facilitates effective communication and builds trust between departments. The result is a streamlined integration that enhances data quality throughout the organization, yielding long-term benefits.

Learn more
Dr. Larysa Visengeriyeva
Head of Data and AI
Make an appointment

We’d love to assist you in your digitalization efforts from start to finish. Please do not hesitate to contact us.