A presentation of how Machine Learning and Graph technology assist in optimizing supply chains
This workshop uses TinkerPop Gremlin, and a handful of sample data sets, to teach the Gremlin traversal language through hands-on examples.
Digital Twins are the next logical step in an IoT implementation. Data storage for a digital twin can include a property graph database such as JanusGraph or DSE Graph, a time series database like TimescaleDB, and an analytical database like Redshift, Google Bigquery, or HP Vertica.
Using unsupervised machine learning, we relate documents together based on their content. This analysis operates directly on the text in the documents, building up clusters of similar context so that an analyst, or another algorithm, can investigate all of their company's data on a single subject.
