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Ntropy
Enabling companies to understand their customers through financial data.
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Is Cross-Entropy All You Need? Let’s Discuss an Alternative
Is Cross-Entropy All You Need? Let’s Discuss an Alternative
We discuss a the Smooth Generalized Cross-Entropy loss function that adresses the issue of noisy labels, confidence calibration and more
Chady Dimachkie
Jul 10, 2023
We asked gpt4 to categorize financial data.
We asked gpt4 to categorize financial data.
At Ntropy, we help companies understand their customers from their financial data.
Ilia Zintchenko
Jun 5, 2023
Efficiency and Maintainability in Named Entity Recognition: A Trie-based Knowledge Base Approach
Efficiency and Maintainability in Named Entity Recognition: A Trie-based Knowledge Base Approach
Introducing Knowledge-Base Named Entity Recognition (KB-NER), a simple method to boost the maintainability of existing NER models
Chady Dimachkie
May 19, 2023
The anatomy of our ML production system: the infrastructure (Part 1)
The anatomy of our ML production system: the infrastructure (Part 1)
Follow us on the journey of how we provisioned our ML infraustructure for production at Ntropy and what we learned along the way!
Jorge Pessoa
Feb 13, 2023
Ntropy Core Principles
Ntropy Core Principles
We went through a cultural reset recently and had to rethink and rephrase who we are and what we stand for. I thought sharing this publicly…
Naré
Feb 8, 2023
Bag of tricks for optimizing machine learning training pipelines
Bag of tricks for optimizing machine learning training pipelines
Arseny Kravchenko
Jan 5, 2023
Herding Entities
Herding Entities
Ntropy works in the business of “transaction intelligence”. At its core, lies enrichment of financial transactions. With the Ntropy SDK…
Marcin Ziemiński
Dec 2, 2022
The False Promise of General Transaction Categorization and the inadequacy of in-house models
The False Promise of General Transaction Categorization and the inadequacy of in-house models
Why the Ntropy customized model approach is the only solution for high performance
Jonathan Kernes
May 24, 2022
Using Elyra to create Machine Learning pipelines on Kubeflow
Using Elyra to create Machine Learning pipelines on Kubeflow
Robin Kahlow
Apr 27, 2022
Customized Transaction Classification
Customized Transaction Classification
Successes, benchmarking, and how to maximize your performance. Bringing meta-learning to production.
Jonathan Kernes
Apr 19, 2022
Speeding up cross-encoders for both training and inference
Speeding up cross-encoders for both training and inference
At Ntropy (we’re hiring), we perform categorization on financial transactions over more than 150 different categories. We use NLP models…
Louis Outin
Apr 3, 2022
How to Protect yourself from Advanced Phishing Scams (HTML injection)
How to Protect yourself from Advanced Phishing Scams (HTML injection)
This is a guest post by Ben Chinoy, a talented security engineer. He reached out to us about the security issue outlined below and…
David Buchmann
Mar 31, 2022
Multilingual Named Entity Recognition for Financial Transactions
Multilingual Named Entity Recognition for Financial Transactions
How we were able to achieve the best accuracy for multilingual named entity recognition at Ntropy for financial transaction enrichment
Chady Dimachkie
Mar 19, 2022
Hiding endpoints from SwaggerUI while supporting with Connexion
Hiding endpoints from SwaggerUI while supporting with Connexion
Maintaining backwards compatibility is one side of the coin. The other issue is to make sure the new customers use only the latest version
Bagrat Aznauryan
Feb 25, 2022
Quickly finding recurring events in massive sequences
Quickly finding recurring events in massive sequences
A scalable O(N*K) solution for sequences of size N and max intervals of size K
Jonathan Kernes
Feb 20, 2022
How we reduced our infrastructure costs by 8x without sacrificing performance
How we reduced our infrastructure costs by 8x without sacrificing performance
This blog post explains our journey in MLOps, describing how we leveraged the combination of open-source technologies and cloud providers…
David Buchmann
Jan 24, 2022
Deep ML cannot be built in-house
Deep ML cannot be built in-house
We have heard multiple arguments over the last years that ML should be built in-house. From investors, customers, books and even candidates…
Ilia Zintchenko
Dec 27, 2021
Transaction data is an uncut gem
Transaction data is an uncut gem
Transactional data is generated every time money is transferred between two entities, one initiating the transaction order and the other…
Naré
Dec 21, 2021
A castle getaway: the Ntropian offsite
A castle getaway: the Ntropian offsite
I am often asked about the why behind Ntropy. The truth is that it takes time to figure out your real why and what makes you tick. There is…
Naré
Dec 12, 2021
Understanding financial transactions
Understanding financial transactions
The term “transaction categorization” is widely used in financial services and in the broader software industry and is well-known in…
Naré
Dec 12, 2021
The Ntropy API
The Ntropy API
The Ntropy API enables companies to understand the financial transactions of their customers with super-human accuracy.
Ilia Zintchenko
May 31, 2021
No-data ML
No-data ML
No-data ML allows models to obtain their data externally and be deployed to production without any in-house labels.
Ilia Zintchenko
May 20, 2021
Dissolving data silos
Dissolving data silos
The benefits of bridging data silos have recently gained significant attention by organizations of all sizes. In 2018, Google established…
Ilia Zintchenko
Apr 24, 2020
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