Katana Graph to Discuss the Benefits of Graph Intelligence at Knowledge Graph Conference 2022

By: Katana Graph

April 20, 2022

Katana Graph to Discuss the Benefits of Graph Intelligence at Knowledge Graph Conference 2022

AUSTIN, TX - Katana Graph, the AI-powered Graph Intelligence Platform providing faster, deeper and more accurate insights on massive and complex data, announced today that Bo Wu, principal engineer, and Greg Steck, solutions architect, will be presenting at the Knowledge Graph Conference 2022, a three-day hybrid event (New York and virtual) occurring from May 2 to 6. The Knowledge Graph Conference is the premiere source of learning about knowledge graph technologies, which are increasingly an essential drive for solving complex societal issues including climate change, and democratizing access to knowledge and opportunity worldwide.

Wu will be giving his presentation: “Katana Graph: A Graph Intelligence Platform for High-Performance and Unified Graph Computing” on May 4 at 12pm ET. It will cover the real-world applications of graph computing, including graph querying, graph analytics, graph mining and graph machine learning – namely, life science applications and how data scientists can benefit from high-performance graph computing platforms. Wu’s talk will also address how data scientists can overcome manually integrating graph databases and deep learning systems – a process that is often tedious, inefficient and error-prone.

Steck’s presentation, titled “Using Graph Neural Networks for Credit  Modeling” will be on May 5, at 10.30am ET. With graph neural networks (GNNs) becoming an important technique for lenders to increase the accuracy of credit scoring models in the financial services industry, Steck’s presentation will highlight the role of graphs in encoding multiple sources of data, including alternative data collected about consumers.

Bo Wu is a principal engineer at Katana Graph and an Associate Professor in Computer Science at Colorado School of Mines. At Katana Graph, he leads the Graph AI team focused on building a scalable system for high-performance GraphML, and develops machine learning algorithms to address challenging problems in life science and fintech. Greg Steck is a solutions architect at Katana Graph and has extensive experience in the financial services industry, previously working at companies including FI Consulting and Goldman Sachs. 

Katana Graph will be joining executives from organizations including Alibaba, Accenture, Amazon Web Services, Capgemini, Intuit, Harvard Medical School, Meta, Netflix, Pinterest, and many others as speakers at the event. For more information about The Knowledge Graph Conference, visit their website.

Presentation: Katana Graph: A Graph Intelligence Platform for High-Performance and Unified Graph Computing
Presenter: Bo Wu, Principal Engineer
Day/Time: May 4, 12pm ET


Presentation: Using Graph Neural Networks for Credit Modeling
Presenter: Greg Steck, Solutions Architect
Day/Time: May 5, 10.30am ET

About Katana Graph

Katana Graph is an AI-powered graph company providing faster, deeper and more accurate insights on massive and complex data. Our Graph Intelligence platform fuses an unparalleled combination of novel graph algorithms, graph neural network architectures, and hardware acceleration to rapidly identify data patterns, anomalies, and business insights at unmatched scale and performance. Data Scientists, business analysts and IT teams leverage Katana Graph’s unique capabilities to quickly develop industry-leading graph analytics and AI applications to innovate faster than the competition and to achieve more impactful business decisions spanning a wide array of industries, including life sciences, financial services, digital security, and government. Headquartered in Austin, Texas, Katana Graph’s breakthrough technology is backed by top-tier investors including Intel Capital, Dell Technologies Capital, Redline Capital, WRVI, and Nepenthe Capital.

About Knowledge Graph Conference 2022

Founded in 2019 at Columbia University, The Knowledge Graph Conference bridges the gap between industry, which is increasingly recognizing the necessity of connected data, and academia, where semantic technologies have been developing for many years. The Knowledge Graph Conference has emerged as the premier source of learning around knowledge graph technologies, and the organization believes that knowledge graphs are an underutilized yet essential force for solving complex societal challenges like climate change, democratizing access to knowledge and opportunity, and capturing business value made possible by advances in AI.