The document discusses the future of information management and the challenges it faces. It notes that more data is created every day than in all of 2003, creating data mountains to manage. Key challenges include capturing, storing, sharing, and automatically understanding large amounts of digitally created files across any device. Both human and artificial intelligence must be balanced to properly manage information, with new skills like knowledge graphs, natural language processing, and process automation required alongside older skills in information systems, taxonomies, and preservation.

1. The Future of Information Management
CHRIS MCNULTY – MICROSOFT
ALAN PELZ-SHARPE – DEEP ANALYSIS
THE FOLLOWING CONTENT IS © DSF ’23

2. Capture Paper
Documents
Store the
Digitally Created
Files
Share the
Digitally Created
Files Securely
Access on Any
Device,
Anywhere,
Anytime
Automatically
Read &
'Understand'
the Content of
Files
End to End
Automation of
Information

3. Reframing Data & Information
• We produce more data every
single day in 2023 than we did
in the whole of 2003.

4. Reframing Data & Information

8. Balancing Human & Artificial Intelligence

9. + Over 500 More

10. Old Problems – New Questions
• Document Processing
• Managing & Preserving Records
• Providing the Right
Information/Answer Right Time
• Security
• Managing Data Mountains
• Why not?
• What is a record?
• Right, accurate, truthful – did it
just got a lot more complex?
• Securing what?
• Where to even start?

11. New & Old Skills
• Information Systems
• Taxonomies
• Preservation
• Governance
• Ontologies
• Storage
• NLP & NLU
• LLM’s
• Blockchain
• Knowledge Graphs
• Task Automation
• Process Automation

12. Thank you!
Alan Pelz-Sharpe
Founder & Principal Analyst
aps@deep-analysis.net