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Here are highlights from article Why Clean Data Is Non-Negotiable in the AI Era with Lizz Hellinga – Salesforce Admins
1. Importance of clean data for generative AI:
– Clean data is essential for leveraging the potential of generative AI.
– Without clean data, businesses are not ready for generative AI.
– The quality of insights generated by generative AI tools depends on the quality of the data used.
2. Examples of bad data:
– Duplicate data
– Inaccurate data
– Incomplete data
– Stale data
– Hoarded data (data that is kept without a clear purpose)
3. Creating a data governance policy:
– Organizations should work with stakeholders to create a data governance policy.
– This helps define data quality standards and identifies data that doesn’t need to be retained.
– Reporting can be used to highlight the importance of data quality to stakeholders.
4. Steps to clean data for generative AI:
– Start by documenting the process and essential data points in the data journey.
– Simplify the data collection process to make it easier to obtain high-quality data.
– Communicate the benefits of generative AI to stakeholders to motivate them to clean up their data.
5. Resources and social media links:
– Lizz Hellinga’s social media handles: @lizzhellinga
– Salesforce Admins’ social media handle: @SalesforceAdmns
– Mike Gerholdt’s social media handles: @MikeGerholdt, @salesforce.mike
– Gillian Bruce’s social media handle: @GillianKBruce
You can read it here: https://sfdc.blog/dkMwS
Source from admin(dot)salesforce(dot)com