IBM Journey to AI blog

NOVEMBER 29, 2023

That said, synthesizing data offers more protection against traditional data privacy and data anonymization techniques (think of masking), while also doing a better job of preserving the data’s utility. Sharing and monetizing a high-quality, privacy-protected synthetic replica with internal stakeholders or external business partners.

Data Scientist 81

Data Scientist Machine Learning Machine Learning AI 81

Iguazio

MARCH 31, 2024

For more details on this topic, you can watch the webinar this blog post is based on. In this blog post, we dive deep into these use cases and their business and operational impact. Then we show a demo of a call center app based on gen AI that you can follow along. The pipeline uses MLRun’s Function Hub.

AI 52

AI AI Database Analytics 52

Snorkel AI

JULY 5, 2023

And my real focus is on production ML, ML ops, and TFX, so this topic is near and dear to my heart. So it becomes very hard to anonymize sensitive data to do AI responsibly in a privacy-preserving way and to monitor data usage for compliance. Robert, I will leave the introduction part to you. AR : Absolutely.

AI 52

AI AI Supervised Learning ML 52

Snorkel AI

JULY 5, 2023

And my real focus is on production ML, ML ops, and TFX, so this topic is near and dear to my heart. So it becomes very hard to anonymize sensitive data to do AI responsibly in a privacy-preserving way and to monitor data usage for compliance. Robert, I will leave the introduction part to you. AR : Absolutely.

AI 52

AI AI Supervised Learning ML 52