Article

Knowledge Graphs in Engineering: A New Perspective

Posted August 10, 2022 | Technology | Amplify
KG_Engineering
If the world’s big data is a virtual mountain of dots, how can you connect them to extract their value? Knowledge graphs will help. The authors showcase several real-world KG applications, detail how they designed a KG to ensure vertical traceability in a systems engineering context, and offer specific advice on using KGs.
About The Author
Michael Eiden
Michael Eiden is a former Cutter Expert, Partner and Global Head of AI & ML at Arthur D. Little (ADL). Dr. Eiden is an expert in machine learning (ML) and artificial intelligence (AI) with more than 15 years’ experience across different industrial sectors. He has designed, implemented, and productionized ML/AI solutions for applications in medical diagnostics, pharma, biodefense, and consumer electronics. Dr. Eiden brings along deep… Read More
Philippe Monnot
Philippe Monnot is a Data Scientist formerly with Arthur D. Little's (ADL's) UK Digital Problem Solving practice, and ADL's AMP open consulting network. He’s passionate about solving complex challenges that impact people’s livelihood through the use of data, statistics, and machine learning (ML). Mr. Monnot enjoys developing accessible solutions that customers will adopt through effective data storytelling and explainable artificial intelligence… Read More
Armand Rotaru
Armand Rotaru is an AI/ML data scientist formerly with Arthur D. Little’s (ADL’s) Digital Problem Solving (DPS) practice. He has been involved in a variety of projects that have a natural language processing (NLP) component, predominantly in the petrochemical, transportation, and biomedical sectors. He was also responsible for maintaining/expanding the NLP section of ADL’s DPS Training Portal and mentoring junior team members. Mr. Rotaru has a… Read More
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