Only a few large enterprises like Google, Amazon, and Uber have made the mindset and capability transition to turn data and knowledge into a strategic advantage. They have one thing in common: their roadmap is build on data-centric principles (and yes, they use knowledge graph technology)!
Supply chain management is one of the most prominent use cases for digital transformation and automation projects. Enterprises strive for an agile framework that allows them to adjust their supply chain processes to political, meteorological and market requirements in real-time. Nonetheless, seamless supply chain collaboration has remained an ellusive goal for the past 25 years. Enterprises still struggle to validate and integrate the data necessary for good decisions.
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Enterprises are looking to achieve pervasive automation. This includes not only commodity tasks but also complex knowledge based tasks. Yet they are stuck in an IT quagmire leading to complexity, siloed data and hidden semantics. Ultimately this effectively prevents what is commonly called digital transformation. Only a few large enterprises like Google, Amazon, and Uber have made the mindset and capability transition to turn data and knowledge into a strategic advantage.
Every year, a majority of US$ 3.8 trillion spent in IT projects is wasted. Still companies are following the same path over and over again that increases IT complexity, siloed data and operational costs. But as digital natives like Apple, Google and Amazon have proved, successful digitalization is all about agile source integration, easy data access as well as reliable data use.
Everyone wants to be part of the success story of digital transformation, but very few are actually getting anywhere. Companies are failing because they are always talking about software and hardware solutions. But it all starts with the data. And that data is rarely managed in a way that meets the requirements of digital business models and efficient processes.
Supply chain management is on the direct path to digitalization. This was recently confirmed by the leading technology market research institute Gartner in its Supply Chain Technology Trends 2019 report. Nevertheless, those responsible in management are still struggling with the cross-functional utilization of relevant data. A Digital Supply Chain Twin based on Knowledge Graph technology can achieve the necessary data transparency and integration.
The General Data Protection Regulation (GDPR) is not just a legal problem for companies. With its requirements, it directly interferes with operational processes - and thus raises technical and organizational challenges. Only by rethinking data management can these problems be solved in a sensible way.
Im Mai 1991 gegründet, ist L&R KÄLTETECHNIK ihrer Kernkompetenz treu geblieben: Projektierung, Bau und Inbetriebnahme von maßgeschneiderten Industriekälteanlagen, die sich durch hohe Effizienz auszeichnen.
A.S.T., europaweit tätiger Hersteller von galvanotechnischen Anlagen, begeht in diesem Jahr ihr 30-jähriges Jubiläum. Seit der Gründung im Jahr 1991 im thüringischen Gehren wurden eine Vielzahl an unterschiedlichen Anlagen im Bereich der Oberflächenveredelung geplant, gefertigt und bei den Kunden errichtet. Grund genug, das Betriebsjubiläum gemeinsam mit der Belegschaft, den Kunden und Partnern zu feiern.
