Knowledge Graphs are a pivotal building block for designing intelligent systems for empowering advanced analytics and decision making. Knowledge Graphs Applied is a practical guide complete with techniques, code samples and use cases, allowing you to leverage the connected nature of various data sources and simultaneously incorporate human knowledge. Knowlege Graphs facilitate creation of solutions which are highly valued by engineers, data scientists and CEOs alike.
Alessandro Negro
Chief Scientist
Neo4j Certified
Professional
About Alessandro
Dr. Alessandro Negro is the Chief Scientist at GraphAware. He is the author of Graph-Powered Machine Learning (Manning, 2020) and a thought leader in the space of graph-based AI and ML. He is one of the main authors of Hume, GraphAware's flagship product and a leading Knowledge Graph Platform. He specialises in natural language processing, recommendation engines, fraud detection, and graph-aided search. Before joining the team, Alessandro gained over 10 years of experience in software development and spoke at many prominent conferences such as JavaOne. Alessandro holds a Ph.D. in Computer Science from University of Salento. He is based in Southern Italy (lucky him!) but travels to clients around the world.
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Vlasta Kus
Lead Data Scientist
Neo4j Certified
Professional
Neo4j GDS Certification
About Vlasta
Dr. Vlasta Kus is a Lead Data Scientist at GraphAware. He is passionate about delivering machine learning solutions into production. Vlasta has a solid background in mathematics and research in physics. He became passionate about combining Machine Learning and property graphs into Knowledge Graphs. Over the years he gained extensive experience with statistical data analysis, Machine Learning, Deep Learning and building Knowledge Graphs in various domains. Currently, Vlasta specializes in natural language processing, knowledge graphs, graph analytics and graph ML.
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Giuseppe Futia
Senior Data Scientist
Neo4j Certified
Professional
About Giuseppe
Giuseppe is Senior Data Scientist at GraphAware. He holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs. In 10+ years he gained multidisciplinary experience in different areas, including research, software development, and communication both in academia and industry. He is passionate about Semantic Web, Machine Learning, and all the cutting-edge technologies to incorporate human knowledge into intelligent systems.
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Fabio Montagna
Lead Machine Learning Engineer
Neo4j Certified
Professional
Neo4j 4.0 Certification
Neo4j GDS Certification
About Fabio
Fabio is a Lead Machine Learning Engineer at GraphAware. As a Software Engineer he devoted most of his 10+ year career in the research field, both scientific and industrial. Ranging from neuroscience to operational oceanography through natural language processing, Fabio helped scientists to push their research forward, designing support infrastructures that are ready to be industrialized. As a bridge between science and industry, he assists with moving rapidly from scientific reasoning to product value.
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Graph Powered Machine Learning
Discover techniques including data source modeling, algorithm design, link analysis, classification, and clustering. While mastering core concepts, you’ll delve into three end-to-end projects illustrationg architectures, best design practices, optimization approaches, and common pitfalls.
