Collibra's Acquisition of Raito Enhances Unified Data Governance and AI Innovations
On June 5, 2025, Collibra, a prominent leader in unified governance for data and AI, made headlines with its exciting announcement regarding the acquisition of Raito and new advancements in its product offerings. This strategic move was unveiled during the Collibra Product Premiere events held simultaneously in New York and Brussels, showcasing a significant step forward in empowering data teams across organizations.
The growing demand for artificial intelligence (AI) in business processes has necessitated improved governance of both data and AI applications. With organizations increasingly turning to AI for automation and enhanced decision-making capabilities, there is a corresponding need for robust monitoring and access controls to ensure reliability and trust in these systems. However, many companies are confronted with a fragmented data landscape, filled with rigid tools that lag behind the rapid development of AI technologies. Consequently, organizations are struggling with maintaining visibility, control, and access to their data and AI resources.
Collibra's unified approach aims to bridge this gap by providing a flexible command center designed to observe, track, and protect data access across various platforms. This capability guarantees that all data users within an organization can rely on accurate and traceable data for their AI models and applications. Felix Van de Maele, CEO of Collibra, emphasized the urgency of addressing these challenges. He stated, "Organizations face an ever more fragmented data and AI environment as the demand for AI use cases, models, and agents grows. Our latest innovations, along with the acquisition of Raito, underscore our dedication to unified governance for all data users across all data sources."
As part of this product launch, Collibra introduced the first-ever platform for unified governance encompassing data quality and observability. The potential offered by advancements in AI presents unique opportunities for businesses; however, legacy issues such as data silos hamper progress and yield a lack of confidence in data reliability. With these new innovations, data professionals across roles—be it engineers, scientists, or stewards—can experience enhanced connectivity, visibility, and automated data quality management, paving the way for more accurate AI outcomes.
For data engineers, Collibra's enhancements bring benefits such as the automation of data quality monitoring and rule creation. They can now leverage Collibra Cloud Sites to accelerate connectivity to data sources, thereby maximizing the value derived from them. Additionally, features allowing for tracking data lineage across pipelines such as AWS Glue and Apache AirFlow leverage standards like OpenLineage, enhancing traceability and facilitating efficient root cause analyses.
Data stewards also stand to gain significantly, with new visualization tools for data relationships and an improved workflow designer allowing for better organization and version tracking. Understanding data usage within platforms like Snowflake is made easier, enabling more effective adoption efforts. Furthermore, with the integration of Raito, data leaders will soon be empowered to manage access more comprehensively, ensuring secure data consumption among users and AI agents.
For data consumers, the introduction of Collibra AI Copilot presents an intuitive chat interface that facilitates the discovery of data assets and the lookup of business definitions. Users will benefit from faster management and publishing of trusted data products through features such as lifecycle tracking and automated workflows.
Lastly, data scientists are set to enhance their oversight of AI models. New integrations will provide improved traceability and governance capabilities across platforms like Microsoft Azure AI Foundry and MLflow, allowing for more transparent implementations of AI use cases.
As organizations navigate the complexities of data and AI governance, Collibra's latest advancements herald a more unified, seamless, and effective approach to ensuring data confidence and compliance. For more information about these product innovations and the Raito acquisition, watch the Collibra Product Premiere event and explore the details here.
In conclusion, Collibra remains committed to driving the future of data governance, fostering an environment where every user can trust and utilize data effectively, reinforcing its role as a leader in the industry. This commitment is exemplified through their innovative platform which unifies governance for a variety of data use cases across diverse sources, ensuring that organizations are well-prepared for the evolving landscape of data and AI utilization.
The growing demand for artificial intelligence (AI) in business processes has necessitated improved governance of both data and AI applications. With organizations increasingly turning to AI for automation and enhanced decision-making capabilities, there is a corresponding need for robust monitoring and access controls to ensure reliability and trust in these systems. However, many companies are confronted with a fragmented data landscape, filled with rigid tools that lag behind the rapid development of AI technologies. Consequently, organizations are struggling with maintaining visibility, control, and access to their data and AI resources.
Collibra's unified approach aims to bridge this gap by providing a flexible command center designed to observe, track, and protect data access across various platforms. This capability guarantees that all data users within an organization can rely on accurate and traceable data for their AI models and applications. Felix Van de Maele, CEO of Collibra, emphasized the urgency of addressing these challenges. He stated, "Organizations face an ever more fragmented data and AI environment as the demand for AI use cases, models, and agents grows. Our latest innovations, along with the acquisition of Raito, underscore our dedication to unified governance for all data users across all data sources."
As part of this product launch, Collibra introduced the first-ever platform for unified governance encompassing data quality and observability. The potential offered by advancements in AI presents unique opportunities for businesses; however, legacy issues such as data silos hamper progress and yield a lack of confidence in data reliability. With these new innovations, data professionals across roles—be it engineers, scientists, or stewards—can experience enhanced connectivity, visibility, and automated data quality management, paving the way for more accurate AI outcomes.
For data engineers, Collibra's enhancements bring benefits such as the automation of data quality monitoring and rule creation. They can now leverage Collibra Cloud Sites to accelerate connectivity to data sources, thereby maximizing the value derived from them. Additionally, features allowing for tracking data lineage across pipelines such as AWS Glue and Apache AirFlow leverage standards like OpenLineage, enhancing traceability and facilitating efficient root cause analyses.
Data stewards also stand to gain significantly, with new visualization tools for data relationships and an improved workflow designer allowing for better organization and version tracking. Understanding data usage within platforms like Snowflake is made easier, enabling more effective adoption efforts. Furthermore, with the integration of Raito, data leaders will soon be empowered to manage access more comprehensively, ensuring secure data consumption among users and AI agents.
For data consumers, the introduction of Collibra AI Copilot presents an intuitive chat interface that facilitates the discovery of data assets and the lookup of business definitions. Users will benefit from faster management and publishing of trusted data products through features such as lifecycle tracking and automated workflows.
Lastly, data scientists are set to enhance their oversight of AI models. New integrations will provide improved traceability and governance capabilities across platforms like Microsoft Azure AI Foundry and MLflow, allowing for more transparent implementations of AI use cases.
As organizations navigate the complexities of data and AI governance, Collibra's latest advancements herald a more unified, seamless, and effective approach to ensuring data confidence and compliance. For more information about these product innovations and the Raito acquisition, watch the Collibra Product Premiere event and explore the details here.
In conclusion, Collibra remains committed to driving the future of data governance, fostering an environment where every user can trust and utilize data effectively, reinforcing its role as a leader in the industry. This commitment is exemplified through their innovative platform which unifies governance for a variety of data use cases across diverse sources, ensuring that organizations are well-prepared for the evolving landscape of data and AI utilization.
Topics General Business）
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