As supply chains move from linear to a decentralized, network model, digital twins are quickly becoming critical tools to optimize and improve resilience. This virtual event reveals how leading manufacturer Ennoconn optimizes its supply chain with a digital twin built with Neo4j and Gemini Data. You’ll learn how to: 

• Use graph technology to minimize overstock, control cash flow, and survive disruptions 
• Employ graph to model and manage complex networks, forecast and prepare for interruptions
• Integrate OpenAI’s GPT-X APIs and generative AI to broaden adoption and ensure users of all skill levels can use the application

Presenters: Joe Fijak (Global Executive Vice President/COO, Ennoconn), Michael Moore (Principal, Partner Solutions  & Technology, Neo4j), and Johnny Lin (CEO, Gemini Data)

Learn more about how Gemini Explore for Supply Chain Optimization can help build resiliency and improve visibility across your supply chain operation.

Gemini Data’s resident data scientist and bioinformatician, Sixing Huang, joined the Graphversation series to discuss personalized medicine.

In healthcare, data is abundant but often siloed. Traditional data management systems are not equipped to handle the complexity of healthcare data, including clinical records, medical knowledge, omic results, etc. Consequently, doctors, researchers, and patients cannot take full advantage of this valuable resource.

Knowledge graphs can better represent and connect data to diverse data sources. Healthcare professionals and researchers can use knowledge graphs to capture the relationships among patients, diseases, treatments, and outcomes and lead the way for better clinical trials, more effective treatments, and healthier outcomes. See how connecting the dots in diverse data sources can capture the relationships among patients, diseases, treatments, and outcomes and lead the way for better clinical trials, more effective treatments, and healthier outcomes.

See how easily Gemini Explore can connect to any Neo4j implementation ingesting data from Splunk and CSV data sources, streamlined data modeling, and ready for visualization, analysis, and search.

See how to incorporate timestamps into graph data visualizations with Gemini Explore, the next-generation no-code graph platform.

See how to connect Gemini Explore to your Salesforce.com instance so you can view, visualize, and analyze your CRM information in a graph data format.

This video will explain how to Search for specific data in Gemini Explore using the Node Categories, Search Bar or using the exploration process itself.

Dynamic supply chains demand adaptability and responsive, data-driven digital networks.

Gemini Explore for Supply Chain Optimization visualizes the relationships between suppliers, manufacturers, and customers as a network, including transportation routes and other dependencies. This helps supply chain professionals minimize risk, identify single points of failure or bottlenecks, and develop contingency plans.

In this demo, A supply chain analyst has identified a critical part needed across their product lines, called a PCB. They are looking for data insights to drive decisions that help manage risk and minimize cost, and with more strategic applications. By drilling into the relationships they find that one manufacturer has risk and exposure in the supply ecosystem for the PCB. With Gemini Explore they can extract these insights to make decisions about how best to manage that risk and those suppliers.

Gemini Explore for Supply Chain Optimization offers a unified, integrated view of data that drives insightful decisions and moves toward a data-led, networked model of supply chain operations – all at a glance.

Navigating today’s dynamic supply chain conditions demands adaptability and responsive, data-led digital supply networks. 

Gemini Explore for Supply Chain Optimization shows suppliers, manufacturers, and customers as members of a network connected by relationships like transportation routes and other dependencies. This helps supply chain professionals minimize risk, identify single points of failure or bottlenecks, and develop contingency plans.

In this demo, a team lead manages a group of supply chain practitioners, including data analysts, data engineers, and more. One member of the team specializes in supply chain and is particularly good at working independently. The team has been asked to identify areas of opportunity to drive cost optimization and reduce risks in their upstream supply chain. Here’s how they used Gemini Explore to find these optimizations and risks by negotiating better delivery times or finding alternate suppliers.

Gemini Explore for Supply Chain Optimization offers a unified, integrated view of data that drives insightful decisions and moves toward a data-led, networked model of supply chain operations – all at a glance.

Dynamic supply chains require adaptability and responsive, data-driven digital networks.

Gemini Explore for Supply Chain Optimization visualizes suppliers, manufacturers, and customers as members of a network connected by relationships such as transportation routes and other dependencies. This helps supply chain professionals minimize risk, identify single points of failure or bottlenecks, and develop contingency plans.

In this demo, a supply chain analyst gets an inquiry on a potential issue in Australia, which could be a shipping error, a data error, or an inventory problem. The analyst asks his co-worker to please follow up and analyze what is the problem, and the root cause. They use Gemini Explore to root out the cause or the issue and complete tactical response analysis.

Gemini Explore for Supply Chain Optimization offers a unified, integrated view of data that drives insightful decisions and moves toward a data-led, networked model of supply chain operations – all at a glance.

Learn how to group, isolate, and explore data nodes in Gemini Explore, the next generation no-code graph platform.

Learn more about our Natural Language Processing, an add-on feature for Gemini Explore allowing you to query and filter a graph database using real, human language.

Gemini Explore provides a powerful way to visualize data and analyze complex relationships and connections between various people, places, and things. 

In this demo, Gemini Explore has imported a database of wines from all over the world. The graph shows the connections between the country and particular region the wine is from, the wine’s rating from a reviews database, the name of the winery, and the year of vintage. Visualizing this data and then executing a search query for Châteauneuf-du-Pape reveals who makes the best wine in that offering. 

Now imagine if this data were a retailer’s supply chain information, an insurance company’s cybersecurity logs, a biotech company’s molecule database, or a bank’s database of suspicious transactions. Imagine how such a rich representation of interconnected entities gives businesses of all sizes invaluable insights to get answers faster, respond to unusual events, and take the next best action – all at a glance. That’s the power of Gemini Explore.

Graph data technology reveals the patterns, clusters, and outliers in data sets of all shapes and sizes. That’s why public health organizations all over the world are using graph to show the impact of interventions and policy.

In this demo, Gemini Explore has imported data from the World Health Organization to show impact of public health interventions on public health. This graph of a global data set shows the correlation between government spending, water quality, sanitation, and public health. The nodes include country, public health expenditures, mortality rates of the “Big Four” (cardiovascular disease, cancer, chronic pulmonary disease, and diabetes), life expectancy, and availability related to WASH issues (water, sanitation, hygiene). 

Gemini Explore for Life Sciences visualizes biomedical data as a collection of nodes and relationships. By connecting diverse biomedical data sources, such as clinical trials, lab results, health records, genomic databases, and publications, researchers have a whole new way to find the connections between data points for extracting insights and decision-making.

Graph data technology reveals the patterns, clusters, and outliers in data sets of all shapes and sizes. That’s why public health organizations all over the world are using graphs to show the impact of interventions and policy.

In this demo, Gemini Explore has imported data from a public health organization in Taiwan that is doing contact tracing during the COVID-19 pandemic. This graph of a global data set shows the connections between individuals, their age group, country of residence, symptoms, and other data points. Graphing the relationships between the various nodes of patient data reveals this particular outbreak is linked to a taxi driver in Taiwan.

Gemini Explore for Life Sciences visualizes biomedical data as a collection of nodes and relationships. By connecting diverse biomedical data sources, such as clinical trials, lab results, health records, genomic databases, and publications, researchers have a whole new way to find the connections between data points for extracting insights and decision-making.