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Articles by Elise Devaux
Cozero raises €6.5 million Series A to pioneer a new generation of Climate ERP solutions
Cozero raises €6.5 million Series A to pioneer a new generation of Climate ERP solutions Cozero has secured €6.5 million in Series A funding to propel the development of its Climate ERP platform. BERLIN, GERMANY, April 17, 2024 /EINPresswire.com/ -- Cozero, the ClimateTech software company winner of the German Sustainability Award, announced it has raised €6.5 million in a Series A funding round.
Everything that happened in the synthetic data space in 2022
Over the past year, we saw notable growth in the synthetic data space and exciting market shifts. In this article, I've compiled updates from a year of market monitoring. Read about the new players, developments, and perspectives on how the ecosystem evolved. When I published the 2021 synthetic data landscape post, there were 67 vendors: 28 structured synthetic data vendors, 10 synthetic test data vendors, 6 open source vendors, and 29 unstructured data vendors.
An overview of synthetic data types and generation methods
By Elise Devaux & Dr. Christoph Wehmeyer, Statice Synthetic data became a mainstream resource for various applications. It refers to data algorithmically generated approximating original data. The need for it can be a matter of data availability, cost reduction, security, or privacy concerns. Virtually all industries relying on personal or sensitive data to function can benefit from synthetic data.
Data Protection Techniques Needed to Guarantee Privacy
By Elise Devaux, Statice 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 proposed to respond to ever-increasing requirements of technical and societal nature. But how do you decide which approach to use? The scope of data privacy Two years after the General Data Protection Regulation (GDPR) introduction, personal data is at the epicenter of today’s privacy requirements.
How “Anonymous” is Anonymized Data?
By Elise Devaux, Statice The 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 a way of complying with the privacy regulations related to personal data. Personal data and business data types can overlap.
10 Use Cases for Privacy-Preserving Synthetic Data
By Elise Devaux, Statice 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.
60+ useful graph visualization libraries
By Elise Devaux, Linkurious Introduction - Graphs are meant to be seen By helping surface information, visualization tools create a bridge between graph data and viewers. Graph libraries are an important layer of the graph technology landscape. They let you build custom visualization application for network data and you can pick from a large catalog depending on your favorite language, license requirement, budget or project needs.
Linkurious Enterprise 2.7: automate your investigation workflows with query templates
Posted on May 10, 2019 by Elise Devaux in Release We are happy to share that a new beta release of Linkurious Enterprise is available. This new version ships with the second iteration of the Query Template that lets you turn repetitive investigation workflows into simple forms or buttons. We redesigned the query panel to improve the investigation experience. This release also brings support for Docker container deployment and Neo4j 3.5 Search.
The GraphTech Ecosystem 2019 - Part 3: Graph visualization
Posted on April 5, 2019 by Elise Devaux in Graph Viz 101 This post is part of a series of 3 articles about the GraphTech ecosystem. This article is the third and last part. It presents the ecosystem of graph visualization software, applications and libraries. The first part is about the landscape of graph databases and the second part covers the graph analytics ecosystem.
The GraphTech Ecosystem 2019 – Part 2: Graph Analytics - Linkurious
Posted on February 25, 2019 by Elise Devaux in Graph Viz 101 This post is a series of 3 articles about the GraphTech ecosystem, as of 2019. This article is the second part of the series and covers the graph analytics landscape. The first part is about graph databases, and the third part will list the existing graph visualization tools. Our second layer is another back-end layer: graph analytics frameworks.
The GraphTech Ecosystem 2019 - Part 1: Graph Databases
Posted on February 13, 2019 by Elise Devaux in Graph Viz 101 This post is a series of 3 articles about the GraphTech ecosystem, as of 2019. This article is the first part and covers the graph database landscape. The second part will be about graph analytics frameworks and the third part will list the existing graph visualization tools. Back in 2014, we wrote about the graph ecosystem, which we then described as “emerging”.
How Blockchain Can Revolutionize Healthcare & Medical Records - Dataconomy
Blockchain technology has been at the center of media attention due largely to bitcoin, an upcoming digital currency that uses blockchain technology, increasing in value, netting investors unheard of returns. However, not many people actually understand what blockchain itself is. Simply put, a blockchain is a distributed, immutable ledger or database that stores records, known as blocks.
How big data technology is transforming fraud investigations - Dataconomy
Linkurious is a partner of the International Investigative Journalist Consortium (ICIJ) since the Swiss Leaks and the Panama Papers scandal. ICIJ network of 380 journalists used Linkurious’ data analytics software to investigate the Paradise Papers. On November 5th, ICIJ and 96 media organizations around the world shared revelations based on a new massive leak.
Cerved exposes financial networks with Linkurious - Linkurious
Discover our user stories and learn about the challenges they overcame with Linkurious solutions. In this post we explain how Cerved’s team developed a graph-based analysis and visualization web-application using the Linkurious SDK to expose financial networks. Cerved is the Italian data-driven company. It gives businesses and institutions the data to guide their decisions, the tools to understand it, and a team of people to turn it into action.
Visualizing the network of Donald Trump - Linkurious - Understand the connections in your data.
On January 15, BuzzFeed released a large dataset of Donald Trump’s connections, including people, organizations and the nature of their relationships. In their article “Help Us Map TrumpWorld”, the four authors of the investigation, John Templon, Anthony Cormier, Alex Campbell and Jeremy Singer-Vine, asked the public to help them understand and analyse the data.
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