How to Create a Data Intelligence Strategy
How to Create a Data Intelligence Strategy
Explore how to develop a modern data intelligence strategy that addresses AI risks, improves data discoverability, and safeguards sensitive information.
Every company is fueled by information, but many don’t have a consolidated way to collaborate, review, or analyze the data they have. Some organizations don’t even know how to effectively locate specific data intelligence within their systems.
As new generative AI technologies such as ChatGPT, Microsoft CoPilot, and Google Bard are hitting the market, it is no longer just about your internal data, but also about how the data is created. Customers and clients entrust your organization with their information, and having intelligence about their data and how it is connected is more crucial than ever. Staff sharing data with online query-answering and text-generating systems could be exposing confidential customer or client information. Wouldn’t you consider that a liability to your organization?
Taking a data intelligence approach and having a consolidated way to tap into information across your systems can:
- Give you the ability to ask questions of your data
- Raise confidence in processes and procedures
- Increase productivity and efficiency
Join Upland search software experts Sean Coleman and Kim Stein for our session as they share a step-by-step approach to establishing an effective data intelligence strategy.
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