Introduction
Speaker: Larry Pitts
Purpose: Discuss methods for repurposing old data, focusing on data governance, organization, and practical tools for content management.
Webinar Details
Recording: Available on SharePoint and Intercom.
Questions: Addressed via Q&A during the session.
Key Topics
Repurposing Old Data (00:02:55)
Importance of trimming down data to enhance AI response and business efficiency.
Benefits include saving money, time, and improving data accessibility.
Getting Started with Data Organization (00:05:00)
Identify and classify data.
Use AI prompts to trim content and enhance AI's ability to respond.
Practical reasons for good content strategies.
Data Governance (00:07:09)
Importance of organizing data for business improvement.
Examples of tools and methods for data organization.
Practical Demonstrations
Unlocking Business Potential (00:09:00)
Repurpose and organize content for success.
Identify, classify, and reformat data.
Benefits of Data Repurposing (00:12:00)
Save money and time by reusing existing content.
Enhance proposal development by analyzing past successful proposals.
Improve content accessibility and sharing.
Data Governance and Quality (00:14:00)
Importance of maintaining data quality.
Practical steps for data classification and organization.
Identifying and Classifying Data (00:16:00)
Techniques for discovering and organizing content.
Use AI to identify key elements and recurring themes.
Practical Tools and Prompts (00:20:00)
Use AI prompts for metadata extraction and content classification.
Demonstration of AI's ability to summarize and organize data.
Case Study: Legacy ERP Transformation (00:25:00)
Example of a company modernizing its system by strategically repurposing data.
Benefits of incremental transformation and preserving historical data.
Practical Steps and Tools
Identify Goals and Scope (00:35:00)
Determine what data is needed and why.
Establish a framework for data access and quality standards.
Metadata and Classification (00:40:00)
Use metadata to classify and organize data.
Practical examples of metadata categories and their uses.
Prompts for Data Management (00:45:00)
Demonstration of AI prompts for creating company profiles, extracting proposal sections, and metadata tagging.
Conclusion
Next Session: Focus on creative uses of AI.
Resources: Access recordings and guides via Intercom.
Questions and Answers (00:50:00)
Addressed during the session, focusing on AI verification, context handling, and metadata usage.
Additional Information
Contact: Reach out to your CSM for further questions or assistance.