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Elise Devaux
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Elise Devaux posted a blog post

10 use-cases for privacy-preserving synthetic data

10 use-cases for privacy-preserving synthetic dataFast-evolving data protection laws are constantly reshaping the data landscape. The organizational ability to overcome sensitive data usage restrictions while safeguarding customer privacy will be a key driver of tomorrow’s successful businesses. This blog presents ten concrete applications for privacy-preserving synthetic data that could help businesses maintain a competitive advantage:Cloud migrationInternal data sharingData retentionData…See More
Aug 5
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Elise Devaux updated their profile
Aug 3
Elise Devaux posted a blog post

Introduction to privacy-preserving synthetic data

This blog takes a closer look at the concept of privacy-preserving synthetic data. It answers the question “what is synthetic data” and looks at the origin of synthetic data in the context of data privacy. It also presents one way of generating privacy-preserving synthetic data and its benefits for organizations.What is synthetic data?In a general sense, synthetic data is information that is artificially generated, as opposed to collected from the real-world. But it’s important to note that…See More
Jul 7
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Elise Devaux posted a blog post

PETs: the technologies organization should consider adopting

As I learn about data privacy, I’m starting to realize how large the ecosystem is. I focused here on a category that spans across the data privacy landscape, Privacy Enhancing Technologies (PETs). In the post, I cover:the (difficult) categorization of these technologies;some examples of PETs and their applications;the framework of Privacy by Design in which PETs exist;the opportunities these technologies hold, besides compliance.Privacy Enhancing TechnologiesUnder this category, we find a…See More
Jun 13
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Elise Devaux's blog post was featured

How “anonymous” is anonymous data?

This post discusses what actually makes data anonymous, share about the misconception we have of it and describe the problems it raises.In the beginning, there was dataThe intent of anonymization is to ensure the privacy of data. Companies use it to protect sensitive data. This category of data encompasses:personal data,business information such as financial information or trade secrets,classified information such as military secrets or governmental information.So, anonymization is for instance…See More
May 24
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Elise Devaux posted a blog post

The graph analytics landscape 2019

Read part 1 - The graph database landscapeThe graph analytics landscape 2019Graph analytics frameworks consist of a set of tools and methods developed to extract knowledge from data modeled as a graph. They are crucial for many applications because processing large datasets of complex connected data is…See More
Aug 29, 2019
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Elise Devaux posted a blog post

The graph visualization landscape 2019

Graph are meant to be seen The third layer of graph technology that we discuss in this article is the front-end layer, the graph visualization one. The visualization of information has been the support of many types of analysis, including Social Network Analysis. For decades, visual representations have helped researchers, analysts and enterprises derive insights from their data. Visualization tools represent an important…See More
Jul 31, 2019
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Elise Devaux posted a blog post

The graph visualization landscape 2019

Graph are meant to be seen The third layer of graph technology that we discuss in this article is the front-end layer, the graph visualization one. The visualization of information has been the support of many types of analysis, including Social Network Analysis. For decades, visual representations have helped researchers, analysts and enterprises derive insights from their data. Visualization tools represent an important…See More
Apr 15, 2019
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Elise Devaux's blog post was featured

The graph visualization landscape 2019

Graph are meant to be seen The third layer of graph technology that we discuss in this article is the front-end layer, the graph visualization one. The visualization of information has been the support of many types of analysis, including Social Network Analysis. For decades, visual representations have helped researchers, analysts and enterprises derive insights from their data. Visualization tools represent an important…See More
Apr 15, 2019
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Profile Information

Company:
Statice
Job Title:
Project Manager
Seniority:
Manager
Job Function:
Marketing
Number of employees:
1 to 49
Industry:
Technology
Short Bio:
Elise is Marketing Project Manager at Statice. She works with Statice's team and partners to cover the emerging synthetic data technology use cases.
LinkedIn Profile:
http://https://www.linkedin.com/company/staticeberlin/
Interests:
Contributing, Networking

Elise Devaux's Blog

10 use-cases for privacy-preserving synthetic data

Posted on August 5, 2020 at 6:59am 0 Comments

10 use-cases for privacy-preserving synthetic data

Fast-evolving data protection laws are constantly reshaping the data landscape. The organizational ability to overcome sensitive data usage restrictions while safeguarding customer privacy will be a key driver of tomorrow’s successful businesses. This blog presents ten concrete applications for privacy-preserving synthetic…

Continue

Introduction to privacy-preserving synthetic data

Posted on July 2, 2020 at 11:30am 0 Comments

This blog takes a closer look at the concept of privacy-preserving synthetic data. It answers the question “what is synthetic data” and looks at the origin of synthetic data in the context of data privacy. It also presents one way of generating privacy-preserving synthetic data and its benefits for organizations.…

Continue

PETs: the technologies organization should consider adopting

Posted on June 12, 2020 at 2:14am 0 Comments

Continue

How “anonymous” is anonymous data?

Posted on May 23, 2020 at 1:00pm 0 Comments

This post discusses what actually makes data anonymous, share about the misconception we have of it and describe the problems it raises.

In the beginning, there was data…

Continue

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