eccenca is recognized in the latest Gartner® Hype Cycle™ for Artificial Intelligence as a Sample Vendor for Knowledge Graph technology. Get the report here and navigate with confidence through all the emerging AI technologies.
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We made it into the circle of 18 nominees and finally won a place on the podium. Martin Dulig, Saxony's Minister for Economic Affairs, presented the award to our CTO, Sebastian Tramp, who also joins the ranks of futureSAX alumni.
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eccenca GmbH is once again co-organizer and sponsor of this week-long program of events around many topics such as of data, digitalization, artificial intelligence or urban development challenges.
Registration is now open
eccenca’s powerful AI-based technologies coupled with MVI’s expertise in automotive development and process automation will now yield solutions for data-optimized work processes!
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The Curry Company is powered by eccenca Corporate Memory which can capture, record and digitize tacit and explicit human knowledge in a way that enables its reuse and repurposing across innumerable similar or varied use cases.
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New knowledge-based digital services with the help of eccenca Corporate Memory.
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BARC analyst Timm Grosser on why most companies still are years away from being data-driven.
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Time to accelerate the Dynamic Supply Chain with the help of eccenca Corporate Memory !
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eccenca delivers foundational technology for federal digitalization and digital supply chain twins projects CoyPu and ResKriVer.
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10:1 REDUCTIONOf Complexity
90 % LESSData Preparation
90 % FASTERTime To Value
98 % LESSSearch Time
100 % SELF-SERVICEvia Web Interface
100 % SCALABLEFor Future Projects
eccenca is first to be selected as enterprise knowledge graph solution provider for french public services
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Companies are challenged by the detrimental overload of data caused by thousands of isolated data silos and the lack to easily interpret, integrate, use and reuse this data. The eccenca Corporate Memory multi-graph platform is your solution to this problem. It enables you to access any connected data sets (linked through rules and relations) and understand the context and meaning of the data while making decisions.
From Digital Supply Networks and Automation to GDPR compliance and Knowledge-Driven Customer Interaction, eccenca allows you to centrally manage, execute and document your siloed corporate data and configurations as well as their interdependent business knowledge, rules and constraints. The metadata based semantic data management approach prevents the creation of new silos. Our system-agnostic, open platform software ensures the freedom to self-sufficiently evolve schema and corporate knowledge assets on-demand. Empower your business to become more self-determined and agile.
The impact of the Digital Supply Chain Twin is transformational as it enablesend-to-end decision making by being in lockstep with the real-world supply chain
, Gartner Vice President for Research Tim Payne explains in his analysis for the Gartner Hype Cycle for Supply Chain Strategy 2020. The foundation for this is reliable, easy and consistent data access.
Meet the foundation of digital transformation.
Enable data transparency and linking across all your domains.
The transformation from a mere product provider to a service provider will only succeed if cross-system data use can be leveraged. eccenca is a leading developer of solutions that seamlessly interlink data, enrich it with expert knowledge and bridge the gap between different networks and platforms.
Christian Stapel
Partner for Data & Technology at MHP
We see more and more companies wanting to become data- and decision-centric. eccenca are at the frontier of this challenge and provide an enterprise-ready solution that integrates perfectly into any IT infrastructure. This is what the future looks like.
Phani Ratna Kumar
CEO, Aarth Software
Faster, more effective, and improved usage in highly complex graph data scenarios ...
Since January 2023, eccenca has been collaborating with esteemed European partners to develop middleware components that enable Edge-AI. Edge AI refers to the practice of deploying artificial intelligence algorithms and models directly on local devices, known as edge devices. These devices, such as sensors, smartphones, and IoT devices, process data locally rather than sending it to a centralized cloud server. This approach enables real-time data analysis and decision-making at the location where the data is generated.
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