Katana Graph to Present on Strengthening Fraud Protection Channels Using Graph Analytics and AI Features at Data Science Salon

By: Data Science Salon

December 7, 2022

Katana Graph to Present on Strengthening Fraud Protection Channels Using Graph Analytics and AI Features at Data Science Salon

AUSTIN, TX - Katana Graph, the AI-powered Graph Intelligence Platform providing faster, deeper and more accurate insights on massive and complex data, announced that Justin Fine, Director of Field Engineering at Katana Graph, will be presenting at the Data Science Salon 2022 in New York City on December 7. Data Science Salon brings data science leaders and specialists together to discuss and educate audiences on the latest AI and machine learning applications in finance and technology.

Fine will be presenting a speaker session titled, “Augment Fraud Protection Pipelines Using Graph Analytics and AI Features” on Wednesday, December 7 at 10:20 am EST. Fine will give an overview of the Katana Graph Intelligence Platform and elaborate on Fraudulent Actor Analysis methods enriched by graph analytics and AI features. He will also talk through the GNN feature generation process and speed of the platform on 4th Generation ​Intel® Xeon™ Processors. At a time when the financial services industry is increasingly at risk of evolving security threats, Fine will detail how graph intelligence can help organizations remain competitive by assessing risk and drawing customer insights from the largest data sources using high-speed analytics and AI.

Justin Fine is the director of field engineering at Katana Graph. He has a wealth of experience in big data and was previously at Microsoft, Neo4j, and Accenture. Fine’s background in applied math spans graph and matrix algebra for solving graph-like problems. He is also an expert in anti-money laundering and fraud analysis in government, banking, and telecommunications.

Hadi Ahmadi, the director of product management and solutions architecture at Katana Graph, will also be attending the event. Katana Graph will be present at Data Science Salon 2022 along with top companies including PWC, S&S Global Market Intelligence, T-Mobile, Capital One and Freddie Mac. For more information about Data Science Salon New York, visit their website.

Key information for Fine’s session:

Presentation: Augment Fraud Protection Pipelines Using Graph Analytics and AI Features
Presenter: Justin Fine, Director of Field Engineering at Katana Graph
Day/Time: Wednesday, December 7th: 10:20 AM - 10:40 AM EST

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 Data Science Salon

The female owned and operated Data Science Salon (DSS) was launched six years ago and is headquartered in the heart of Miami, FL near the Design District. The Data Science Salon community is an in-person and virtual hub for senior data science, machine learning and other technical specialists to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere. Members can also tune into data science webinars, events, and podcasts.

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