Name Matching Gets a Shot in the ARM (chip)
Or, How We Made Name Screening Efficient and Eco-friendly In this webinar Basis Technology’s Declan Trezise (Director of Global Solutions Engineering) and Peter De Bie (Senior Sales Engineer) discussed the interesting ...
Learn moreReleases
NEW Release 1.17.3 (October 2020)
NEW Release 1.17.2
NEW Release 1.17.1
NEW Release 1.17.0
Uphold
Uphold is a digital money platform for foreign exchange and remittances between crypto and traditional currencies, delivering anything-to-anything transactions across 80+ currencies and in 184+ countries. These frictionless transactions enable ...
Learn moreRecipe for Success: Keeping Up with AML Regulations Using AI
Anti-money laundering (AML) regulations are continually getting stricter and dramatically impacting financial institutions. Firms are having trouble keeping up with ordinances, so they are not screening as accurately or as ...
Learn moreTop 5 Takeaways from AI for Human Language
AI for Human Language 2021 brought together hundreds of professionals in cybersecurity, financial security, and compliance to explore technology available today that is enabling us to verify identities and anticipate ...
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Refinitiv
Numerous financial institutions and regulated businesses rely on Refinitiv World-Check One to provide highly curated information from trusted sources, and entity screening capabilities to help them evaluate risk and make ...
Learn moreEvolution and Formation of Hebrew Names and Nicknames
Like many other languages and cultures, Hebrew names have been influenced by languages of countries where Jewish people lived, but also by the fact that within the last half century, ...
Learn moreThe Basics of Japanese Names: How They Are Chosen, Written, and Read
Japanese names for people occupy an unusual niche in that seeing a written name doesn’t mean you’ll know how to pronounce it. Furthermore, hearing a name doesn't mean you’ll know ...
Learn moreHow to Write Annotation Guidelines for Entity Extraction
Writing annotation guidelines for entity extraction for adverse media screening in financial compliance As much as we love to think our machine learning algorithms are the most important part of training ...
Learn moreThe Fight Against Intelligence Failures with NLP: Rosette Identity Resolver
In his book “Intelligence and Surprise Attack: Failure and Success from Pearl Harbor to 9/11 and Beyond,” 21-year naval intelligence veteran Dr. Erik Dahl highlights the importance of the intelligence ...
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Société Générale
When a bank’s compliance system is returning so many false positive alerts that the true positives — real business risks — are missed, that leaves a financial institution open to ...
Learn moreThe Top NLP Mistake Made by Data Scientists
When the conclusions seem “off,” is it bad data science or faulty NLP? By Dan Maxwell Download Whitepaper Executive Summary In the age of big data, high-quality results from natural language processing (NLP) data ...
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Serco
Imagine what it takes to collect, process, and adjudicate 11 million applications every year, with the vast majority happening within a surge period of 135 days. That is what Serco ...
Learn moreRosette 1.17.0 Release: Hebrew Name Translation, French Semantic Similarity, Robust Address Matching
Recent Rosette® Cloud and Enterprise releases (1.17.0, 1.16.1) bring expanded language coverage to name translation and semantic similarity, and ease of use to the address matching capability within Rosette Name ...
Learn moreBuilding a More Useful Hebrew Transliteration Scheme
When the Rosette® Name Translator team set out to build a Hebrew-to-Latin character translator, one of the first considerations was: Which Hebrew transliteration standard should we use? As the joke ...
Learn moreFaster Annotation with Rosette Adaptation Studio
What are the top three barriers to better machine learning models? Annotating data, annotating data, and annotating data. Okay, so it’s not that simple, but producing quality training data to produce ...
Learn moreWelcome to Being Human, X Æ A-12
Elon Musk’s Son X Æ A-12, Presents the Ultimate Name Matching Challenge The naming of a child is an intrinsically human activity. Your parents get the first crack at it, but ...
Learn moreA Day in the Life of… Building a New Entity Extraction Model
What does it take to build a real production-ready model for entity extraction in one language? Here’s a peek through the eyes of our linguistic data engineer. Swedish model building by ...
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