Navigating to overcome the unstructured data management challenge
Facing unparalleled data sprawl, IT leaders are experiencing an inflection point. The average enterprise IT organization is managing petabytes of data. This results in high costs for storage, growing security risks, and too much orphaned data.
Managing unstructured data is even more nuanced for companies in highly regulated industries. Healthcare, financial services, and the public sector face unique challenges when it comes to managing and preserving data. They must adhere to a specific set of standards and ensure the utmost security. Yet they still need to effectively organize, share, and collaborate across teams and departments.
The question is, how can this massive unstructured data challenge be turned into an opportunity? Answer: Harness the power of AI in your data management strategy to gain a competitive advantage.
In this webinar, we’ll discuss:
- How to develop a data management strategy that addresses distributed data complexities
- How generative AI is being used within Digital Asset Management (DAM) systems to drive organization and efficiency
- Why a storage-agnostic approach adds important operational flexibility
- How to ensure your global strategy accounts for regional regulatory variations
- Precautions companies in highly regulated industries must take when selecting a DAM solution
A link to the recording will be shared post-webinar with all registrants.
