2021 Gretel.ai Privacy Engineering Survey

At Gretel, we build privacy-enhancing technology to enable developers to safely access sensitive data. Thank you for your interest and support in our privacy engineering survey- your feedback is tremendously valuable and we will share the survey results when complete 😎. Let's get started!

Question Title

* 1. What is your role?

Software Engineer

Data Scientist

Machine Learning Engineer

Data Engineer

Product Manager

Executive / C-Suite

Marketing / Sales

DevOps

Researcher

Other (please specify)

Question Title

* 2. How large is your company?

1-10

10-100

100-500

500+

Question Title

* 3. What best describes your industry?

Finance / Banking

Healthcare

Marketing

Transportation

Retail

Education

Government

Sports / Entertainment

Technology

Nonprofit

Other (please specify)

Question Title

* 4. What data engineering tasks are you most interested in solving?

Create synthetic data

Anonymize production data for development

Balance and remove bias

Label data

Remove PII

Increase the accuracy of classification models

Other (please specify)

Question Title

* 5. I'm most interested in being able to safely

Enable access to sensitive data for my team.

Share data across my organization.

Find, share, and publish anonymized data publicly.

None of the above

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* 6. What areas are you most passionate about?

Creating provably private versions of sensitive data to share with others.

Immediately access anonymized versions of sensitive data at my company.

Using synthetic data to create fair and balanced datasets.

Question Title

* 7. Which of the following Data Platform services and products do you use?

Snowflake

AWS Redshift

MongoDB

DynamoDB

MySQL

Databricks

Postgres

Hosted Cloud SQL (Aurora, RDS, Azure SQL, etc)

Other (please specify)

Question Title

* 8. Which of the following ML and Data Science platforms do you use?

Kubeflow

MLFlow

Google Cloud AI Platform

AWS Sagemaker

AutoML (e.g. H2o, Data Robot, etc.)

Domino Data Lab

Other (please specify)

Question Title

* 9. What kind of data do you or your team use in pre-production environments?

We mirror our production database into our testing environments.

Write scripts to anonymize sensitive data for testing.

Snapshot and manually redact datasets for testing.

Other (please specify)

Question Title

* 10. What tools do you use to label personal data or PII in your environment currently?

Periodic manual reviews

Write scripts to search for sensitive data

We use a service like BigID, Collibra, Amazon Macie, etc.

None of the above

Question Title

* 11. What compliance certifications are required for your cloud services?

SOC2

GDPR

ISO 27001

CCPA

HIPAA

PCI

NIST

FedRamp

HITRUST

Other (please specify)

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* 12. What's the biggest reason that you are interested in Gretel?

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* 13. Enter your email to join our mailing list!

Email Address