Lucata
Michael Moore, Ph.D., currently serves as Senior Director of Strategy and Innovation at Neo4j, and holds the position of Principal in Partner Solutions and Technology. In addition, Michael is a member of the Open Knowledge Network Working Group, focusing on supply chain digital twins, and a Board Advisor at Lucata Corp. Previous roles include Executive Director at EY's National Advisory Advanced Technology Group, where Michael led the national practice for Enterprise Knowledge Graphs and AI, as well as various analytical leadership roles at Microsoft and Grey San Francisco. Significant accomplishments also include founding and leading Qosmy as CEO/CTO. Michael received a Ph.D. in Integrative Biology from the University of California, Berkeley, and holds both a BS in Earth Sciences and a BA in Biology from the University of California, Santa Cruz.
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Lucata
Lucata leverages patented migrating thread technology to massively scale unified memory and conduct high performance, multi-hop analytics, including exhaustive breadth-first search (BFS), on unpruned and unsharded databases with 1 trillion vertices and beyond. Organizations can now use their existing graph database software or custom graphsolutions to analyze deeper connections on much larger graphs than ever before possible. Lucata solutions support groundbreaking graph analytics and improved machine learning and AI for organizations in financial services, cybersecurity, blockchain, healthcare, pharmaceuticals, telecommunications, ecommerce, government and more. The company has offices in Palo Alto, New York City, and South Bend, Ind. For more information, visit www.Lucata.com.Key technical claims:1.Data doesn’t move, processing context moves to the data in a global unified address space.2.Latency of both network and memory access are hidden due to the migrating threads and multithreaded Lucata cores.3.Energy efficient high density memory architecture.4.Drastic reduction in OS intervention.5.Architecture doesn't rely on data locality for optimal performance.6.Linear performance growth with hardware scale up to 64,000 nodes.7.Single shared address space up to 18 Exabytes.