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technology6h ago
Defining An Intelligent Business
- Panel links building an intelligent business to easy, fast access to needed insights across an organization.
- Experts stress data strategy as the prerequisite for an AI strategy, not the other way around.
- Panelists warn data is often fragmented, requiring a semantic layer to decode information for users.
- Conversations emphasize moving from reactive reporting to proactive execution using data.
- Snowflake and Thoughtspot representatives discuss the data foundation needed to support AI across functions.
- Panel highlights human factors, urging boards to be AI-literate and avoid rushed, vague goals.
- Experts advocate starting with high-value use cases and gradually scaling with governance.
- Semantics and data context are viewed as critical for end users to access relevant information.
- Panelists note AI should automate dull decisions to free humans for higher-impact work.
- The discussion situates intelligent business within a broader context of data quality and governance.
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