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Where synthetic data brings value
If you team is evaluating privacy-preserving synthetic data, three factors will usually come into consideration:Does synthetic data solve my problem?Does the technology fit my requirements?What’s the Return on Investment (ROI) of implementing privacy-preserving synthetic data? This post focuses on the last factor: the value of adding synthetic data generation capabilities to your team’s toolbox.The cost of data inertia and insufficient privacy-preservation mechanismsData is the key to gaining…See More
Which data protection techniques do you need to guarantee privacy?
This story was initially published here The economics, legal, and corporate implications of data privacy are now too strong to be ignored. In the last decades, different privacy-enhancing techniques were improved to respond to ever-increasing requirements of technical and societal nature. But how do you decide which approach to use? This…See More
Which data protection techniques do you need to guarantee privacy?
This story was initially published here The economics, legal, and corporate implications of data privacy are now too strong to be ignored. In the last decades, different privacy-enhancing techniques were improved to respond to ever-increasing requirements of technical and societal nature. But how do you decide which approach to use? This…See More
Data-driven innovation in healthcare: synthetical clinical data
This articles discusses some of the data challenges that the healthcare industry faces. It also revisits how Statice's collaboration with the leading health organization Roche to test the use of synthetic medical data for clinical research and what opportunities we see from this.The data challenges in the healthcare industry Maybe more than for other industries, research and innovation in healthcare rely on the ability to access and analyze data. It fuels the machine learning models that help…See More
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
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
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
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
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
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
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
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
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
Where synthetic data brings value
Posted on October 12, 2020 at 3:00am 0 Comments 0 Likes
If you team is evaluating privacy-preserving synthetic data, three factors will usually come into consideration:
- Does synthetic data solve my problem?
- Does the technology fit my requirements?
- What’s the Return on Investment (ROI) of implementing privacy-preserving synthetic data?
This post focuses on the last factor: the value of adding synthetic data generation capabilities to your team’s…
Which data protection techniques do you need to guarantee privacy?
Posted on September 30, 2020 at 10:30am 0 Comments 0 Likes
Data-driven innovation in healthcare: synthetical clinical data
Posted on September 14, 2020 at 4:12am 0 Comments 1 Like
This articles discusses some of the data challenges that the healthcare industry faces. It also revisits how Statice's collaboration with the leading health organization Roche to test the use of synthetic medical data for clinical research and what opportunities we see from this.
The data challenges in the healthcare industry
Maybe more than for other industries, research and innovation…
Continue10 use-cases for privacy-preserving synthetic data
Posted on August 5, 2020 at 6:59am 0 Comments 0 Likes
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
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