Data presents both significant challenges and opportunities for organizations. To fully leverage the value of this data, it’s essential to implement effective data controls, mitigate risks, and establish a robust data framework.
This session will explore practical strategies for managing the entire data lifecycle, from creation to disposition with a focus on the acquisition of data. Fully understanding the data supply chain, which is becoming more complex with the demand for data to fuel AI, is essential for its proper management. This emphasizes the need to map or catalog where data comes from and where it’s going.
By understanding the importance of data risk management, organizations can protect sensitive information, maintain compliance, and achieve reliable AI output.
Data presents both significant challenges and opportunities for organizations. To fully leverage the value of this data, it’s essential to implement effective data controls, mitigate risks, and establish a robust data framework.
This session will explore practical strategies for managing the entire data lifecycle, from creation to disposition with a focus on the acquisition of data. Fully understanding the data supply chain, which is becoming more complex with the demand for data to fuel AI, is essential for its proper management. This emphasizes the need to map or catalog where data comes from and where it’s going.
By understanding the importance of data risk management, organizations can protect sensitive information, maintain compliance, and achieve reliable AI output.