Preventing, detecting and prosecuting illegal activities worldwide is a real challenge with increasing regulatory requirements and the overwhelming flow of unstructured information making the decision-making process more difficult than ever.
Traditional automation has become costly and less effective with the increasing complexity and large scales of data.
Human-in-the-loop for Machine Learning training is an agile way to validate the model's predictions at the time of training.
By reading this ebook, you’ll get everything you need to know to execute KYC, step by step, the scoping, training and production phases.
More and more products are powered by machine learning. That’s why it's [capital] to think about ethics and to make sure [its] impact [is] positive.“
Clément Delangue, Co-founder & CTO @Hugging Face
“Our Data-centric approach to AI has helped us achieve a categorization of our own categories that is accurate in more than ninety-five percents of the videos.”
Andrea Colonna,VP AI @Jellysmack
“But the real-world experience of those who put them into production shows that (...) it's often the quality of data (...) that makes your AI project succeed or fail.”
