Entity resolution.Is it a single source of truth? Is it multiple sources of truth? Is it multiple data sources that refer to the same real-world thing?

How do we make sense of it? How can we harness the value of data through entity resolution? Talk to Jeff Jonas from Senzing on this week’s episode of Catalog & Cocktails and you’ll understand.

Key Takeaways

• [00:33 - 05:14] Episode intro & cheers
• [05:20 - 06:53] What is something you thought to be true in life that ended up being false?
• [06:58 - 08:15] Why don't we realize entity resolution if it is everywhere?
• [08:18 - 09:55] Tech stacks and tools for entity resolution
• [10:01 - 11:55] Record matching, link detection, fuzzy matching, and duplication
• [12:14 - 14:12] Master Data Management as the old school approach versus modern technology and its limits
• [14:18 - 18:38] Entity resolution is for the elite
• [18:48 - 21:11] Commoditizing entity resolution to the equivalent of a spell checker
• [21:14 - 25:41] Principles and Guidelines
• [25:51 - 28:48] The number of principles should fit on a single screen
• [28:50 - 33:03] Different levels of abstractions, and thinking about what kinds of things can solve similar problems
• [33:09 - 35:25] How does metadata tie into entity resolution?
• [35:32 - 40:45] Ontologies, semantics, and mapping
• [40:54 - 42:10] Thousands of transactions per second
• [42:14 - 46:23] You shouldn't have to tinker with any settings to be effective
• [46:28 - 47:44] ChatGPT
• [51:54 - 56:17] Takeaways
• [56:21 - 59:40] Three Final Questions