Real-time AI for entity resolution
Entity resolution—determining “who is who” and “who is related to whom”—is essential to almost every industry, including banking, insurance, healthcare, marketing, telecommunications, social services, and more. Unlike traditional AI and machine learning that require enormous amounts of training data, new incremental learning algorithms work out of the box without training or tuning. Then in real time the algorithms get smarter without any reloading.
Jeff Jonas details how you can use a purpose-built real-time AI, created for general-purpose entity resolution, to gain new insights and make better decisions faster.
What you'll learn
- Learn how to use an AI for general-purpose entity resolution to gain insights and make better decisions faster
Jeff Jonas is the founder and CEO of Senzing and is an acclaimed data scientist and the leading creator of entity resolution systems. He founded Senzing with the goal of making entity resolution technology available for everyone everywhere. For more than three decades, he’s been at the forefront of solving complex big data problems for companies and governments. He’s a three-time entrepreneur and sold his last company to IBM in 2005. Previously, he was an IBM fellow and chief scientist of context computing at IBM, where he led a team focused on creating next-generation AI for entity resolution technology.
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