Chapter 7: Graph AI, Knowledge Graphs & RAG

Connecting the Dots Leveraging Graph Databases for Advanced Entity Resolution & Identity Management

Connecting the Dots Leveraging Graph Databases for Advanced Entity Resolution & Identity Management. Unlock the Power of Graph Databases for Smarter Identity Management and overcome the issues of fragmented data and accurately identify entities across your systems. Discover how graph databases are revolutionizing entity resolution and identity...

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TigerGraph Unchained: TigerGraph Vision with Hamid Azzawe

Join Yen Tran as she sits down with Hamid Azzawe, CEO of TigerGraph, in an enlightening podcast episode where they dive into the future of the company and the innovative roadmap ahead. Hamid shares his insights on the pivotal role of graph technology and AI in today's data-driven market, and introduces TigerGraph CoPilot, a cutting-edge tool...

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TigerGraph Unchained: Knowledge Graph and AI with Parker Erickson

Welcome to our deep dive into the fascinating synergy between knowledge graphs and generative AI! In this podcast, Hamid Azzawe, COO of TigerGraph and Parker Erickson, Gen AI Lead at TigerGraph explore how these two transformative technologies intersect and amplify each other's capabilities.

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Graph+AI Breakout: Mapping Scope 3 Data for Sustainable Supply Chains

Companies are increasingly expected to increase the sustainability and resilience of supply chains and reduce CO2 emissions. However, the poor quality of data in the ESG market is a significant barrier to action. For example, companies are not able to identify their Scope 3 CO2 emissions or even the suppliers within their vast supply chains. Poor...

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Graph+AI Panel: Connecting Data and Adapting to an Uncertain World

Companies are faced with unprecedented uncertainty, and must make decisions daily to navigate changing economic and political conditions. Business is no longer about long-range forecasts and annual planning yet many company processes are geared to this cadence. When energy prices spike, a city goes into lockdown, or even just when there’s a...

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Graph+AI Breakout: Leveraging In-app Feedback to Personalize User Experience Using AI

App store ratings provide very limited insights into customer needs. There is no information on the customer’s plan type, historical engagement, features used, etc. Without such valuable information, the analytics are restricted to broad trends without real actionable insights. There is an adverse selection problem with reviews, since users who...

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Graph+AI Breakout: Leveraging Walmart Retail Graph to Power Supplier Similarity

Performing seller clustering at scale is vital for Walmart's efforts to scale its marketplace, helping to make the seller vetting process more robust and automated. During this talk, you'll learn how Walmart does this by leveraging its Retail Graph to power seller similarity. Using this in-house data fabric layer, you'll see how the company...

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Graph+AI Breakout: Item Category Mapping Using Walmart Retail Graph

Item miscategorization is an important problem for eCommerce companies to overcome, one that can lead to significant post-processing efforts, poor customer experience, and possible loss of business. Using graph technology, Walmart expedited the mapping process. This led not only to a better customer experience, but also to improved item...

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Graph+AI Breakout: Use Graph Analytics to Differentiate and Compete to Win

The next generation of applications and analytics will leverage a ‘digital twin,’ a digital simulation that mimics the real world that your customers operate in. Examples where a digital twin can prove valuable in FinTech, supply chain applications, customer data platforms, network observability, and HealthTech. A digital twin gives your customers...

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Graph+AI Breakout: Connected Business Intelligence

Discover how to leverage TigerGraph and ontologies to build operational Master Data Management (MDM) at scale.

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Graph+AI Breakout: Exploring the Limitless Possibilities of Graph Database for AI/ML Applications

AI Singapore has inked a memorandum of understanding (MOU) with TigerGraph to enable its AI Engineering teams to explore Graph + AI/ML and support Singapore businesses leveraging these capabilities, while also building Singapore’s graph database capabilities and talent pool. Hear from Laurence Liew, Director, AI, on why he thinks graph is...

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Million Dollar Challenge: 2nd Place Most Impactful Entry - FactChecker

Multi-language/multi-platform fact-checking powered by TigerGraph and AI. Real-time fact extraction from multiple sources into a massive knowledge graph of more than 25 million facts (and growing)!

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Million Dollar Challenge: 3rd Place Most Impactful - Project Athena

An automatic, generic knowledge graph framework that builds itself from textual unstructured data and uses natural language to query the data & apply it to a big financial stock dataset.

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Million Dollar Challenge: Grand Prize Entry - Mental Health Hero

Using graphs to improve accessibility for mental healthcare.

Contestant entry:

We built Mental Health Hero as a graph-based approach to solve one of the largest public health epidemics we're facing today: the prevalence of untreated mental health issues such as anxiety and depression. Only 40% of adults that suffer from mental illness ever seek...

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Million Dollar Challenge: Women Who Graph Winning Entry - DiagnosX

Leveraging the TigerGraph database and 3D models for a deep dive into explaining a patient's diagnosis to decrease disparities in healthcare.

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Thriving in an Uncertain World with a Resilience Focused Operational Digital Twin

For many years globalization, automation, and lean principles were the basis of a successful business, be it manufacturing, finance, or retail. These strategies relied on an assumption of a smooth and reliable flow of resources; so that outcomes broadly matched predictions, and any variation was slow and with only local impact.

Then a global...

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The Future of Data: How Graph Analytics Is Shaping The World

You use graph databases every day and probably don’t know it. Graph Analytics and Artificial Intelligence is transforming the world and is with us every day of our life from the time we get up.

Every day, more than 2.5 quintillion bytes of data are produced. This data contains answers to critical business, health, and climate-related questions....

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Mina Saidze, Forbes 30 Under 30 Founder, talks about the Graph for All Million Dollar Challenge

Data Evangelist, Founder, Forbes 30 under 30 - this woman is setting new standards.

As the daughter of activists, Mina Saidze learned from an early age that you can make the world a better place in your own unique way, no matter what your background. Her motto: Unite technology and impact!

She taught herself programming and founded Inclusive...

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Graph For All Million Dollar Challenge Enable Search For United Nations Sustainable Development Goal

The Graph For All Million Dollar Challenge is a global search for innovative ways to harness the power of graph technology with machine learning to solve real problems. You can win up to $250,000 USD and make an impact in one of our challenge areas.

Ellie Young is founder of Common Action. Common Action is an innovation community facilitating...

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UCSD: TigerGraph + Customer and Executive Part 5

Join Jay Yu, VP of Product, Innovation & General Manager of San Diego Research & Development Center at TigerGraph as he provides executive experience and advice on implementing and using TigerGraph at Intuit. Previously, he was at Intuit for 18 years where he was a Distinguished Engineer/Architect/Director and led many product and technology...

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Practical Solutions Architecture in TigerGraph

The art of producing elegant and robust solutions for complex graph problems is all about the blend of graph expertise and pragmatic thinking. This session will provide a high-level overview of the types of algorithms on offer in the TigerGraph GSQL Algorithms Library, and we'll explore an in-depth use case of Jaccard Similarity, Community...

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Graph Gurus 54: Leveraging pyTigerGraph for Big Data Analytics from Google Colab

TigerGraph is an analytical and data science platform that provides new, powerful tools for advanced analytics, machine learning and artificial intelligence. These types of workflows are generally driven by data scientists who are used to certain technologies and tools that allow them to easily and effectively work with data; Python is one of...

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PartnerGraph Webinar - Publicis Sapient - Supply Chain and Logistics Management

➡️Manufacturers face great challenges dealing with enormous amounts of parts, components and materials needing to be sourced from a great variety of globally distributed vendors, then processed and assembled in many stages, making it exponentially difficult to trace them from origin to final product. This also includes logistics, i.e. transport...

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Graph + AI Summit Spring 2021 Speaker: Brad Spiers, JPMorgan Chase

Brad Spiers is an Executive Director at JPMorgan Chase. Throughout his career, Brad has leveraged innovations in software and hardware to solve client problems. He has led cross-functional teams at Wall Street firms and startups to usher in innovations like GPUs for Compute, Software-Defined Infrastructure, Machine Learning—and now Graph...

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TigerGraph Graphathon 2020 : Plume CPG Analysis Library

Second Place Winner

Plume allows one to extract a code property graph (a combination of a program's abstract syntax tree, control flow graph, and program dependence graph) from JVM bytecode and store it in a graph database. The storage backend (graph database) is pluggable and Plume currently supports TinkerGraph, JanusGraph, and TigerGraph....

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TigerGraph 2020 Graphathon: Davraz

First Place Winner

A Graph Visualization and Exploration Tool

➡️ Rich customization of graph visualization styles with using cytoscape.js styles. ➡️ Run Interpreted and Installed GSQL queries and see the results as a graph or as a table or as JSON. ➡️ Show results as a table and a graph at the same time. ➡️ Use clustering, compound nodes,...

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February 2021 Graph Gurus Workshop: Zero to Advanced Analytics and Machine Learning in 90 minutes

New to Graph Database or to Advanced Analytics? Don’t know how to use it for Machine Learning? No worries! Join this workshop, and we will teach you the concepts of TigerGraph Cloud, graph databases, advanced graph analytics, and machine learning algorithms - all in under 90 minutes.

During this hands-on exercise, you will unveil the value of...

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Graph Gurus 47: Graph Data Science with Knowledge Graph Embeddings

As a data scientist, you might have heard of the concept of using Knowledge Graphs along with Machine Learning. Data Scientists are already using these techniques to build powerful analytics that go beyond traditional Machine Learning techniques. But, you might be wondering how, why, what, and where?

➡️ Why?  Is it important that I understand how...

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February 2021 Graph Gurus Workshop: Building the Next Generation Customer Experience

Improving customer experience in a digital world requires connected intelligence with the ability to have a real-time 360 view of your customers and the ability to make real-time decisions from every channel. 

Join us for a hands-on workshop where we will show you how to design your next-generation customer experience solution with graph and...

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December 2020 Graph Gurus Workshop: Building the Next Generation Customer Experience

Improve customer experience and increase average order value for eCommerce by over 30% with graph and machine learning . . . . Improving customer experience in a digital world requires connected intelligence with the ability to have a real-time 360 view of your customers and the ability to make real-time decisions from every channel. 

Join us for...

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Graph + AI Recap 2020 - Day 2 Keynote - Dr. Jay Yu, Distinguished Engineer and Architect, Intuit

Leveraging knowledge graphs to accelerate Intuit's journey to power the prosperity of the world.

To watch these full videos on-demand go to https://www.tigergraph.com/graph-ai-world-sessions/.

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Graph + AI 2020 Recap - Accelerating Innovation at the Confluence of Human Created Content and AI

The volume of published, scientific data is growing at an exponential rate. When carefully curated and paired with emerging technologies such as knowledge graphs, the data is a powerful catalyst to accelerate innovation across a wide range of disciplines. This talk explores the abiding value of intellectual curation to maximize the quality and...

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Graph + AI 2020 Recap - Laying the Business Foundations For Enterprise Knowledge Graphs

Enterprise Knowledge Graphs are becoming a hot topic of discussion not just for technologist but also for the business leaders looking to take advantage of them. This session looks at the benefits to be gained from EKGs, how they can help to integrate and conceptualize enterprise data warehouses, and the steps involved in deploying an effective...

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Graph + AI 2020 Recap - Graph Based Identity Resolution at Scale

One of the main drivers of the AT&T, WarnerMedia and Xandr success story is to combine their data assets to provide solutions for customers including the cross-device product offering, targeting the right users and content personalization. The data across these companies is not only large, containing billions of identifiers but also consists of...

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Graph + AI 2020 Recap - The Key to Creating a Golden Thread

When you know, you know, right? This is the person. But what if you don't know when or whether it's them? That's when Graph plays its part. Entity Resolution is an important concept in big data and it is the root of every successful knowledge graph. What is Entity Resolution, why is it such a powerful thing for every business to get right or...

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Graph + AI 2020 Recap - Realigning Business and Tech Priorities for Covid-19 Pandemic

The Covid-19 pandemic has disrupted the business and technology priorities for organizations worldwide. During this session Alice Grout-Smith from Jaguar Land Rover will describe how data and analytics experts are adapting to this unprecedented challenge by leveraging graph, artificial intelligence and machine learning. Ed Sverdlin of UnitedHealth...

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Graph + AI World 2020 - Keynote Speaker - Harry Powell of Jaguar Land Rover

We are pleased to announce Harry Powell, Director of Data & Analytics, Jaguar Land Rover, as a keynote speaker for Graph + AI World 2020. The automotive supply chain is one of the most complex and global in the world, with the average car being made up of around 4,500 parts from a supply base of 30,000 individual parts, produced by hundreds of...

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No-Code Graph Analytics mit TigerGraph

In diesem Webinar zeigen wir Ihnen, wie einfach folgende Themen abzubilden sind.:

-Erstellen und ausführen von Graph-Abfrage mit intuitiver Drag & Drop-Funktionalität -Migrieren von Daten aus relationalen Datenbanken mithilfe von No-Code Werkzeugen, um Schema zu konvertieren und Daten in die Graph-Plattform zu laden. -Bereitstellung der Plattform...

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TigerGraph Product Overview

TigerGraph is delivering the next stage in the evolution of the graph database: the first system capable of real-time analytics on web-scale data. Our Native Parallel Graph™ (NPG) design focuses on both storage and computation, supporting real-time graph updates and offering built-in parallel computation. Our SQL-like graph query language (GSQL)...

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Webinar: Graph Gurus Episode 1

Building an Enterprise Knowledge Graph with Resource Description Framework (RDF) and Graph Database

THIS IS THE FIRST EPISODE THAT WILL KICK OFF TIGERGRAPH'S GRAPH GURU SERIES, A FREE EDUCATIONAL WEBINAR SERIES FOR DEVELOPERS AND DATA SCIENTISTS.

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