Wednesday, May 1
8:30 am - 9:00 am (PDT)
Hamid Azzawe, TigerGraph's CEO, brings expertise from Meta, Amazon, Microsoft, Bloomberg, RBC, AMFAM, IBM. He sees AI-powered solutions using knowledge graphs as pivotal to gaining competitive advantage. Hamid will showcase TigerGraph’s new cloud-native CoPilot AI that delivers reliable and accurate insights by leveraging graph analytics and RAG over scalable knowledge graphs augmented with solution-specific concepts hierarchy.
9:00 am - 9:30 am (PDT)
This session delves into the pivotal role of network analytics in fraud and financial crime, exploring its practical applications, the transformative impact of graph database technology, and the value it brings to detection and investigative solutions.
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Adam McLaughlin
Global Head of Financial Crime Strategy and AML SME
NICE Actimize
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Gilles Alis
General Manager, Case Management and Platform
NICE Actimize
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9:30 am - 10:30 am (PDT)
In this workshop, we unveil TigerGraph's new cloud-native product powered by the cutting-edge GraphHouse architecture, a fusion of Graph analytics and data lakes. GraphHouse enables seamless data ingress from Delta Lake, Iceberg, Snowflake, Postgres, BigQuery, etc., utilizing vertices and edges to store data directly on cost-effective, reliable cloud storage. By decoupling the compute layer from the data layer, users can dynamically spin up compute clusters on-demand, accessing a single connected dataset. All graph database capabilities, including data silo integration, fast multi-hop traversals, and query visualizations, are seamlessly inherited.
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Dr Mingxi Wu
Head of Engineering
TigerGraph
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10:00 am - 10:30 am (PDT)
This session is a compelling exploration into the world of embeddings and their critical role in the development of intelligent systems. Dan McCreary will offer an intuitive understanding of embeddings—how they capture and quantify similarity to empower modern AI technologies—and their applications across various domains. Ideal for data scientists, AI researchers, or anyone curious about AI, this session provides essential insights into the transformative power of embeddings in artificial intelligence.
10:30 am - 11:00 am (PDT)
11:00 am - 11:30 am (PDT)
Hamid Azzawe, CEO of TigerGraph, Dan McCreary, Head of AI, and Parker Erickson, Lead AI Engineer at TigerGraph will field your burning questions on graphs and AI. Get ready to dive deep into insightful discussions, gain valuable insights, and interact directly with our panelists as they share their expertise and experiences.
11:30 am - 12:30 pm (PDT)
If you're new to graph databases, this workshop is for you. You'll see how to deploy a TigerGraph Cloud database for a Customer 360 use case, create a graph model, load it with data, create graph queries, and run graph algorithms.
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Victor Moey
Customer Success Engineer
TigerGraph
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12:30 pm - 1:30 pm (PDT)
This workshop will give you an overview of how scalable and analytical graph databases can detect more fraud and improve the productivity of fraud investigators. Leveraging TigerGraph's Solution Kits, you'll learn how easy it is to generate graph features which boost the accuracy of existing fraud detection models. You'll also see interactive graph exploitation, helping to investigate and explain suspected fraud cases.
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Dr. Victor Lee
Director, Technical Product Management
TigerGraph
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Robert Buechner
Solutions Engineering Leader
TigerGraph
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Thursday, May 2
8:30 am - 9:00 am (PDT)
Large-language models have revolutionized the way we think of problem-solving. Everyone now has a "CoPilot" they can trust to help them achieve their goals. But how will this impact graph databases? In short, it will impact everything, from increasing the speed of loading new data to finding deep meaning and driving insights to creating complete visualizations of our data. In this session, Dan will inspire everyone to embrace the benefits of generative AI and see how these emerging technologies complement graph databases.
9:00 am - 9:30 am (PDT)
As our lives become more digital, criminals follow. Security needs to be baked into the foundation of every digital product and service. For more than a decade, Mastercard has embedded AI-powered security measures into our products and services to proactively identify and neutralize threats, ensuring data security and building trust in the digital economy. Our approach is to combine technology and insights in a holistic service to assess and protect against risk while delivering trust, in payments and beyond. We’re making sure the AI we use is ethical, transparent and reliable. Trust in the global payments ecosystem would not be possible without it. Graph technology plays an important role in securing the global payments ecosystem – directly mapping to business challenges, such as detecting fraud, money laundering and delinquencies. Our discussion will focus on the use of graph-based learning for solving financial business challenges, including the latest developments in machine learning from large graphs and potential solutions with respect to the scale, the heterogeneity and inductive nature of financial graphs.
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Nitendra Rajput
Senior VP and Head of AI Garage
Mastercard
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9:30 am - 10:00 am (PDT)
Thoughts on the data foundations that underpin effective graph and network analytics. Finding the insights in the maze and the future of network analytics in business.
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Kieran Towey
Managing Director, Data Scientist and KPMG Allied Intelligence Lead
KPMG
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10:00 am - 10:30 am (PDT)
At Illumina, we develop DNA sequencing and array-based life science technologies using over 100 manufacturing systems, with data domains ranging from organic chemistry to semiconductor engineering, and software ranging from customer lab applications to machine learning. To tackle all the scattered data correlations within our processes, Illumina has onboarded TigerGraph Cloud to begin building a analytical bridge between the many complex processes to tackle manufacturing bottlenecks and improve investigation turn-around time.
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Stephen Horn
Staff Data Engineer, Global Ops Shared Services
Illumina
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10:30 am - 11:00 am (PDT)
11:00 am - 11:30 am (PDT)
Operational inefficiencies, from traffic delays to empty loads and driver limitations, cost the trucking industry $185 billion a year. This presentation will discuss how TigerGraph enables Hoptek to offer a real-time and AI-powered operations digital twin and decision engine, able to compute thousands of real-life routes in milliseconds. The Hoptek solution transforms fleet planning, enabling trucking companies to quickly compute and re-compute optimal trucking loads and routes, as circumstances change, leading to more efficient operations and higher driver satisfaction.
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Balaji Guntur
CEO and Co-founder
Hoptek
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11:30 am - 12:30 pm (PDT)
Generative AI is wonderfully useful, but it can suffer from hallucinations - false facts. This workshop will show you how TigerGraph can serve as a powerful source of knowledge, working together with LLMs to improve the accuracy and contextual relevance of AI answers.
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Parker Erickson
Machine Learning Engineer
TigerGraph
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12:30 pm - 1:30 pm (PDT)
In this session, we will show you how you can build your own digital twin with TigerGraph, to turbocharge the optimization and resiliency of your operational systems. Using a supply chain as an example, we will:
* Create a schema for your digital twin and ingest data
* Use graph algorithms to provide key insights and performance powerful analytics
* Use GSQL queries to perform a wide range of deep-traversal queries and updates
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Dr. Victor Lee
Director, Technical Product Management
TigerGraph
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Andrew Kasper
Senior Customer Success Engineer
TigerGraph
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