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If you team is evaluating privacy-preserving synthetic data, three factors will usually come into consideration:
This post focuses on the last factor: the value of adding synthetic data generation capabilities to your team’s…
Added by Elise Devaux on October 12, 2020 at 3:00am — No Comments
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,…
Added by Elise Devaux on September 30, 2020 at 10:30am — No Comments
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.
Maybe more than for other industries, research and innovation…Continue
Added by Elise Devaux on September 14, 2020 at 4:12am — No 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
Added by Elise Devaux on August 5, 2020 at 6:59am — No 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
Added by Elise Devaux on July 2, 2020 at 11:30am — No Comments
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:…
Added by Elise Devaux on June 12, 2020 at 2:14am — No Comments
Added by Elise Devaux on May 23, 2020 at 1:00pm — No Comments
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,…
Added by Elise Devaux on April 9, 2019 at 4:00am — No Comments
Graph analytics frameworks consist of a set of tools and methods developed to extract knowledge…Continue
Added by Elise Devaux on February 27, 2019 at 5:00am — No Comments
Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card fraud, VAT fraud.
In many areas, fraud investigators have at their disposal large datasets in which clues are hidden. These clues are left behind by…
Added by Elise Devaux on January 22, 2019 at 12:30am — No Comments
Why is graph visualization so important? How can it help businesses sifting through large amounts of complex data? We explore the answer in this post through 5 advantages of graph visualization and different use cases.
Also called network, a graph is a collection of nodes (or vertices) and edges (or links). Each node represents a single data point (a person, a phone number, a transaction) and each edge represents how two nodes…Continue
Added by Elise Devaux on January 11, 2019 at 9:25am — No Comments
From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal information that would otherwise remain hidden in your data. We will see how to integrate your graph analytics with Linkurious Enterprise to detect and investigate insights in your connected data.
Added by Elise Devaux on October 4, 2018 at 9:30am — No Comments
For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as the amount of information collected increases, analysts are facing new challenges in terms of data processing and analysis. In this article, we explore the possibilities that graph technology is offering for intelligence analysis.
ECommerce fraud is growing quickly, creating new challenges in terms of prevention and detection. As merchants gather more and more information about customers and their behaviors, the key element in the fight against fraud is now to draw on the connections within the data collected to uncover fraudulent behaviors. In this post we explain why and how graph technologies are crucial in the detection of eCommerce fraud.…
Added by Elise Devaux on August 9, 2017 at 9:30am — No Comments
Fighting financial crimes is a daily battle worldwide. Organizations have to deploy intelligent systems to prevent and detect wrongdoings, such as anti-money laundering (AML) control frameworks. We’ll see in this blog post how graph technologies can reinforce those systems.
In today’s complex economy, law enforcement and financial…Continue
Added by Elise Devaux on June 1, 2017 at 9:00am — No Comments