Applying knowledge in the correct context is the single most powerful lever for success that most businesses have at their disposal. This need for knowledge management has given rise to a great deal of research, culminating in the development of knowledge graphs.
A knowledge graph places data in context, enriching its meaning and utility. It achieves this goal by adding a layer of information to business data which describes that data and allows software agents to reason about it. When applied effectively, knowledge graphs provide clarity about enterprise data, processes, products, and customers.
Hear firsthand from Neo4j experts in the field: Dr. Maya Natarajan, Amy Hodler and Jesús Barrasa, with hosting by Chief Scientist Dr. Jim Webber at this webinar, The Impact of Knowledge Graphs on Business.
Dr. Jim Webber is Chief Scientist at Neo4j working on next-generation solutions for massively scaling graph data. Prior to joining Neo4j, Jim was a Professional Services Director with ThoughtWorks where he worked on large-scale computing systems in finance and telecoms. Jim has a Ph.D. in Computing Science from the Newcastle University, UK.
Dr. Maya Natarajan is Neo4j’s Program Manager for Knowledge Graphs. She is passionate about bringing different technologies together to solve complex problems. At Neo4j, Maya is championing the use of knowledge graphs to bring context to various systems. Maya has positioned technologies from Blockchain to Predictive & User-Based Analytics to Machine Learning to Deep Learning to Search to BPM and beyond in a myriad of industries at various small and large companies.
Maya started her career in biotechnology R&D, and she has five patents to her name.
Amy Hodler is the Graph Analytics & AI program director at Neo4j. She loves seeing how the community uses graph analytics to reveal structures within real-world networks and infer behavior.
Amy is the co-author of the O'Reilly book Applied Graph Algorithms in Apache Spark and Neo4j, published in early 2019 and updated July 2020.
Dr. Jesús Barrasa is the Director of Sales Engineering in EMEA where he and his team help enterprises realize the value of graphs. He combines over 20 years of professional experience split between technical sales & consulting in the Information management space and research and lecturing in AI/KR in Academia.
Prior to joining Neo4j, Jesús worked at Denodo Technologies and Ontology Systems(now EXFO) where he got first-hand experience with many successful enterprise-wide Data virtualization deployments and large Graph Technology projects enhancing the operations and analytics of major telecommunications companies all over the world.
Jesús' Ph.D. in Artificial Intelligence from the Technical University of Madrid, focused on the automatic repurposing of legacy relational data as Knowledge Graphs.
Sed ac purus sit amet nisl tincidunt tincidunt vel at dolor. In ullamcorper nisi risus, quis fringilla nibh mattis ac. Mauris interdum interdum eros, eget tempus lectus aliquet at. Suspendisse convallis suscipit odio, ut varius enim lacinia in. Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Sed ac purus sit amet nisl tincidunt tincidunt vel at dolor. In ullamcorper nisi risus, quis fringilla nibh mattis ac. Mauris interdum interdum eros, eget tempus lectus aliquet at. Suspendisse convallis suscipit odio, ut varius enim lacinia in. Lorem ipsum dolor sit amet, consectetur adipiscing elit.