Leading companies are leveraging graph-based digital twins to manage complex interconnected systems

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CSX Transportation, Transportation for LondonNeanex, ASML and others turn to Neo4j for an accurate real-time representation of their business

SAN MATEO, Calif., September 21, 2022 /PRNewswire/ — Neo4j, the world’s leading graphics data platform, announced a surge in demand for graphics technology for digital twins. Organizations leverage graph technology to create large-scale digital twins that can unify data from disparate sources, deliver rich analytics, and support near real-time monitoring of critical assets.

In 2022, the digital twin market size was rated at $6.9 billion and should reach $73.5 billion by 2027. Additionally, Gartner predicts that by 2025, 25 global companies will reach $1 billion in revenue or cost savings from their digital twin initiatives, compared to one in 2021. Source: Gartner, Emerging Technologies: Revenue Opportunity Projection of Digital Twins, Alphonse Velosa et al.,February 16, 2022. While the value of digital twins is compelling, the scale of effort required to create them can be daunting. An effective digital twin is created from huge volumes of disparate data from many sources and in many formats, incorporating things like 3D models, accounting systems and operational systems, as well as data from devices IoT.

A knowledge graph excels at harmonizing complex data and flexible modeling of massive real-world structures and their business logic. With Neo4j’s graph database at its core, organizations can manifest a digital twin into any structure or process within any industry, leading to a wide variety of use cases. Neo4j’s graph data platform provides the flexibility, performance, and analytical capabilities to cost-effectively create, manage, and query enterprise-scale digital twins, unifying data across a myriad of sources to provide the greatest business value. Graphs bring the most advanced analytics to digital twins and support powerful queries, as well as data science and machine learning techniques, from algorithms to embeddings.

Maya NatarajanSenior Director of Product Marketing at Neo4j, highlighted the value that digital twin technologies unlock and bring to a wide range of industries.

“While digital twin technology is still in its infancy, it is rapidly becoming popular in business strategy, giving us the power to understand the present and predict the future,” says Natarajan. “Today, we can use digital twins to create digitized model simulations of all parts of our business, from supply chains to HR systems to automotive manufacturing and more. With the digital twin deployed at its full potential with graphics technology, organizations can enable new, intelligent, resilient capability and ultimately achieve the greatest business value.”

Neo4j Digital Twin Customer Success

Customers use Neo4j graphics technology to create industry-leading digital twins across various industries and use cases. Digital twins for supply chain provide visibility into complex networks, connect diverse product validation lifecycle data for automotive, and replicate complex production lines in life science manufacturing.

Organizations that have implemented Neo4j graphics technology as part of their digital twin initiative are well positioned for agility. Here are some examples of how they are using Neo4j to advance critical initiatives:

According Dave RichHead of Enterprise Architecture and IT Services at CSX Transportationleading supplier of rail freight transport in North AmericaNeo4j was chosen to help them build a digital twin model of their physical network.

“We quickly recognized that the problem we needed to solve was connection-based – gaining a better understanding of the complex relationships between assets such as locomotives, railcars, customers, dispatch orders, mile markers, etc.”, Rich said. “With Neo4j, we were able to efficiently track, report and visualize hundreds of thousands of assets and the interrelationships over time, and how they occur. This digital twin has also given our clients visibility into where their orders are and when they will arrive, improving that side of the business as well.”

Turku City Data uses a “Smart City Knowledge Graph” to support its digital twin to address key city priorities such as reducing energy consumption and finding routes that optimize delivery speed and transportation resources.

Neanex offers Neo4j-based digital twin services that allow asset owners to create a digital twin that connects all types of data, from 3D models to building permits.

A leading global pharmaceutical company F100 implemented a digital twin powered by Neo4j to support a wide range of supply chain use cases, from simulations for decision making, optimizations on parameters such as cost and time, risk assessment and mitigation, and production line design alternatives.

By combining the power of graphics technology and digital twins, organizations gain a unique competitive advantage. As the global digital landscape expands, these virtual equivalents will prove increasingly important for designing optimal solutions that were previously inconceivable.

For more information

To learn more about how organizations are leveraging Neo4j for digital twins, watch “Building the digital twin of the rail network at CSX” and “Optimize your supply chain with knowledge graphs, IoT and digital twins“, an on-demand webinar on how knowledge graphs underpin digital twins for supply chain management.

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About Neo4j

Neo4j is the world’s leading graphical data platform. We help organizations – including Comcast, ICIJ, Nasa, UBSand Volvo cars – capture the rich real-world context that exists in their data to solve challenges of any size and scale. Our clients are transforming their industries by curbing financial fraud and cybercrime, optimizing global networks, accelerating cutting-edge research and providing better recommendations. Neo4j offers real-time transaction processing, advanced AI/ML, intuitive data visualization, and more. Learn more about neo4j.com and follow us on @Neo4j.

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