How to do Secure Data Labeling for Machine Learning

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About the webinar

Data annotations or more commonly called data labeling is an integral part of AI and Machine Learning.

One of the biggest concerns that organizations have while doing AI and ML is about handling data.

Many organizations have concerns about data security and privacy of the training data, especially highly regulated industries like Healthcare, Banking, Government, etc. where data privacy and security are paramount.

What you will learn

Risks associated with data annotations and how to manage data privacy and data protection

How to handle deployments and infrastructure to manage data security

How to manage collaborative contributors for secure data labeling to balance scale, security, cost and quality in data labeling

Live demo of a secure data labeling platform

Speaker(s) & Panelist(s):


Nisha Shoukath

Co-founder and COO at

COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.


Mohit Juneja

Solutions Architect

Technology enthusiast with 13+ years of experience working in the information technology and services industry. Leads cutting-edge solutions for businesses using Machine Learning and Artificial Intelligence.


Shruti Tanwar

Lead - Data Science

Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.