Entity Resolution Has Many Names

Imagine conducting vehicle safety tests, like measuring stopping distance or handling in high-speed turns, in a small parking lot set up with some orange cones. Obviously, the results of these type of tests will be quite different than the actual safety you’ll experience in the real world. Similarly, when insufficient…

Imagine evaluating a car by having a seasoned professional demonstrate how they can drive the car around the block … leaving you completely in the dark about the amount of training and expertise needed, special fuel requirements, carbon emissions, etc. This is exactly what happens when an entity resolution vendor…

Imagine evaluating a car by just driving it around the block … when your real needs are a low maintenance, all-terrain vehicle with attractive operating costs. Similarly, imagine evaluating entity resolution technology by just batch loading a couple of data sets … when you need a system that operates in…

“Good, fast, cheap. Choose two.” There are plenty of references to this dynamic, a “law” if you will, applied to various domains e.g., project management, marketing. For so long, entity resolution has lived under this same law too — but no longer! Team Senzing is elated to report a breakthrough…

At Senzing we have created the first real-time AI for entity resolution. We make it quick and easy to accurately combine data about people and companies from different data sources. No other technology that exists today can do this in real time, at scale, with this level of accuracy without…

Most entity resolution algorithms rely on record matching — a method whereby each record is compared to other records for similarity. Record matching does not learn which ultimately results in missed matches. More advanced entity resolution uses entity-centric learning — a method that treats resolved records as a single holistic…

Most entity resolution systems don’t handle ambiguous records properly. This tricky and subtle condition creates false positives that are difficult to find. In entity resolution, we use the term “ambiguous” to mean “multiple good answers.” The great American boxer George Foreman named all five of his boys George. Imagine having…

The number of organizations still operating hard-coded and expensive homegrown entity resolution is incredible. A new urgency to cut expenses make these homegrown systems a prime target for fast “cost takeout.” [Note: Senzing is downloaded and runs locally. No private data flows to Senzing.] When deploying Senzing real-time AI for…

As the CEO of Senzing, an up-and-coming software company less than two years out of stealth mode, I find myself pondering the consequences of COVID-19 to our business goals — 2020 and beyond. I wonder, given our underlying business design, where is the risk? Doing this very simple “back of…