SAP + Collibra = Bringing Transparency into the Data Fueling AI
Meet the Authors
Key Takeaways
⇨ As organizations increasingly harness the power of AI to enhance customer experiences and streamline business decisions, the importance of trusted data cannot be overstated.
⇨ SAP data is a rich resource that can be utilized in AI applications to expedite digital transformation, refine decision-making, enhance customer experiences, and secure competitive edges in the market. However, guaranteeing the quality, integrity, and ethical management of the data in organizational AI initiatives can be challenging.
⇨ Collibra and SAP have partnered to deliver an end-to-end data governance foundation for SAP Datasphere focused on the principle that effective data governance is essential for the business data fabric.
Collibra and SAP have partnered to deliver an end-to-end data governance foundation for SAP Datasphere focused on the principle that effective data governance is essential for the business data fabric. This allows for tailored integration between SAP Datasphere and Collibra’s Data Intelligence Platform, enabling accurate and trusted data access for all users, across both SAP and non-SAP data sources. Collibra AI Governance, an extension of its data intelligence platform, is designed with business users in mind to enhance collaboration on AI initiatives within the organization. This functions as a comprehensive system of record, guiding users from understanding and defining AI use cases to governing, cataloging, and monitoring AI models and their data, and ensures a thorough understanding of data quality, lineage, and the entire AI lifecycle.
SAP and Collibra together aim to improve visibility and transparency into the data and AI models that enterprises rely on. By cataloging and understanding data products that feed into AI models, Collibra helps establish clear data usage protocols and streamlines approval processes. The collaboration ensures that stakeholders across organizations gain valuable insights into AI activities and their associated ROI, enabling precise and effective AI development management.