Turning Data into a Strategic Asset
summary
Argues that companies turn data into revenue by monetizing telecom and sensor logs and avoiding GDPR fines through tighter governance, shows real scale like 500,000 ETL jobs and 7 trillion records/day at streaming firms and an astronomy use case storing 10 petabytes a year. Demonstrates LLMs and tagging pipelines that extract signals from social and chat logs, gives airline and retailer examples where segmentation and real‑time routing increase bookings and customer satisfaction.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 2:13Monetizing data and governance
- 4:26Data in business integration
- 6:20Unstructured data for insights
- 8:51Data infrastructure as enabler
- 13:49Handling vast unstructured data
- 17:46Repositioning infrastructure
- 20:59Overcoming human resistance
- 24:50Data as strategic asset examples
- 29:50Q&A
related talks
22mData Analysis in the Age of Data Democratization
26mData For The 99%: Unlocking Data Curiosity Across Your Organisation
24mA Practical Approach To Unlock Value From Data and Analytics
28mHow Companies Get the Personal Data They Truly Need
32mMaking Models Work: How an optimized ML lifecycle can drive better ROI
34mIncreasing Data Awareness with Self-Serve Analytics
37mDelivering High Speed with Low Risk
52mScaling Data Teams: Three Pitfalls and How To Avoid Them