Data Spaces

The need to be in control of one's own data is growing in parallel with the potential for value creation across data sources. Data Spaces is a European-based vision for sharing data across silos in organisations, society and national borders.

KMD Technology and Innovation Map - Data Spaces

Horizon 1

Technologies that are known to both us and our customers. Technologies that have been thoroughly researched or are well on their way into our products, MVP's or innovation projects.

Data Broker handles all requests from clients (produce, consume, and metadata) and keeps data replicated within the cluster. This happens in a secure and high performant way. In a sense it's a set of machines working together to be able to handle and process real-time infinite data.

FIWARE brings a curated framework of open source software platform components which can be assembled together and with other third-party components to build platforms that support the development of Smart Solutions faster, easier and cheaper. Context platform enables management of context information in a highly decentralized and large-scale manner.

Horizon 2

Technologies known to either us or our users, but not thoroughly tested. Strong candidates to participate in POC's to investigate technical possibilities and value potential for our customers.

Autonomous data visualization is a way for explaining the significance of data to people who are visually oriented. The central task of automatic data visualization is, given a dataset, to visualize its compelling stories by transforming the data (e.g., selecting attributes, grouping) and deciding the right type of visualization (e.g., bar or line charts).

CNAP platforms is a combination of two groups of cloud-native security solutions. In most cases, cloud security posture management (CSPM) and cloud workload protection platforms (CWPPs) are separate tools. CNAPPs offer the capabilities of both in a single, unified solution, along with some additional features.

Data fabric is an architectural approach to simplify data access in an organization to facilitate self-service data consumption. This architecture is agnostic to data environments, processes, utility and geography, all while integrating end-to-end data-management capabilities. A data fabric automates data discovery, governance and consumption.

Data mesh concerns distributed architecture for data management. The idea is to make data more accessible and available to business users by directly connecting data owners, data producers, and data consumers. Data mesh aims to improve business outcomes of data-centric solutions as well as drive adoption of modern data architectures.

Differential privacy is a system for publicly sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals in the dataset. The idea behind differential privacy is that if the effect of making an arbitrary single substitution in the database is small enough, the query result cannot be used to infer much about any single individual, and therefore provides privacy.

A digital twin is a digital representation of a physical object, process or service. A digital twin can be a digital replica of an object in the physical world, such as a jet engine or wind farms, or even larger items such as buildings or even whole cities. Digital twin technology can be used to replicate processes in order to collect data to predict how they will perform.

Knowledge graph, also known as a semantic network, represents a network of real-world entities i.e. objects, events, situations, or concepts and illustrates the relationship between them. This information is usually stored in a graph database and visualized as a graph structure. A knowledge graph is made up of three main components: nodes, edges, and labels.

Open data is data that is openly accessible, exploitable, editable and shared by anyone for any purpose, even commercially. Open data is licensed under an open license. One of the most important forms of open data is open government data (OGD), which is a form of open data created by ruling government institutions.

Smart data models are common data models that underpin a digital market of interoperable and replicable smart solutions in multiple sectors. A smart data model includes three elements: The schema, or technical representation of the model defining the technical data types and structure, the specification of a written document for human readers, and the examples of the payloads.

Horizon 3

Technologies that neither we nor our customers have had their hands on. Technologies that are so relatively new that their value has not yet materialized in the context of our customers and end users.

GAIA-X is a project reportedly working on the development of a federation of data infrastructure and service providers for Europe with the objective of ensuring a European digital sovereignty.

Quantum computing is a technology that harnesses the laws of quantum mechanics, such as superposition, entanglement, and quantum interference, to solve problems too complex for classical computers.

Quantum security means being resistant to the cyber threat posed by quantum computers. Quantum computers will quickly factor prime numbers and break the foundations of public key cryptography. A cryptographic system that works seamlessly with current computers and technology, yet protects against the quantum computing threat, is needed.

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