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Last Updated: October 20, 2018

TigerGraph Visual Learning Path - Chapter 11: Strategic Insights & Future of Graph

Chapter 11: Strategic Insights & Future of Graph

Graph +AI Summit 2024

Graph+AI Summit 2024

Follow this link to register for Graph +AI Summit 2024. https://info.tigergraph.com/graphaisummit2024

Graph+AI: Million Dollar Challenge Winners Announcement & Cool Project Highlights

The Graph for All Million Dollar Challenge was the most ambitious contest of its type. The goal of the contest was to bring some of the best minds together to solve crucial problems—and provide contestants with an opportunity to share $1,000,000 in cash prizes. Over 1,500 people participated in the contest, using graph technology in a variety of...

Graph+AI Keynote: Understanding When Graph Analytics and AI Are Best for Your Business Use Case

One of the common challenges with starting graph projects is explaining the advantages of graph databases, analytics and AI, framing use cases and communicating the approach to business and technical stakeholders. This talk will highlight some ways to think about graph analytics and AI and offer some key differences between conventional approaches...

Graph+AI Keynote: The Case For Decision Velocity

The competition for data supremacy requires organizations to build for digital speed. As new business models emerge, the data to decisions pipeline powers how organizations move from products to services, services to experiences, and experiences to outcomes built on data and insight. Learn why organizations that build for decision velocity will...

Graph+AI Breakout: Meeting the Challenges of a Changing Industrial World

This session will discuss the various aspects/challenges of Industry 5.0, examining how graph analytics can help meet the challenges associated with the industrial marketplace and emerging Industry 5.0.

Graph+AI Keynote: What’s Next? Progress in Democratizing Graph for All

What’s next in graph and AI? Jay Yu shares TigerGraph’s perspective on our customers’ demands and technology trends, as well as how TigerGraph is innovating its products to accelerate graph adoption.

Graph+AI Panel: How Are Business Leaders Implementing Digital Transformation

Digital transformation has the potential to change the way businesses operate. According to a study by McKinsey & Company, “93 percent of executives believe that digital is critical to achieving their strategic goals.” Yet, even though organizations have been digitizing for decades, digital transformation is still relatively new.

Key digital...

Graph+AI Keynote: How To Cultivate and Grow Diverse Senior Technical Talent

Less than 5% of women today are getting senior technical positions such as CTO. Alaina Percival, the Co-Founder and CEO of Women Who Code, saw a massive opportunity to build a community designed for women pursuing technical careers. What started as a small group in San Francisco has now grown to a thriving global community of 250,000 women...

Graph+AI Breakout: Will Your Boss Accept Your Graph AI-derived Recommendations?

In this presentation, Yogi Schulz discusses how to sell your Graph AI-derived recommendations. Too often, data science teams perform great project work and then crash and burn on the goal line by failing to describe their work and sell their recommendations appropriately. Yogi presents a list of high-level questions that senior executives, who are...

Graph+AI Breakout: Digitization - Empowering Risk Managers

With increasing digitization of processes, more controls are getting embedded within the business process. In the digital age, risk managers are expected to not only advise the first line on acceptable risk mitigation, but also redraw the operating model to supervise the risk management function. In this context, Graph+AI is expected to play a...

Graph+ AI Breakout: Demystifying Data Architecture

When Marshall McLuhan said in 1964 that “the medium is the message,” he was primarily speaking about the media of print, radio, and television. But even as our media world grows in volume, variety, and velocity, this statement remains an important touchpoint for examining our needs and how we create and investigate the content and structures that...

Graph+AI Breakout: Connected Data for a 360 View of Customers

Learn how Dell and its customers use graph for Customer 360 to get the ‘big picture’ — understanding risks, exploring opportunities, and driving better customer experiences and business outcomes. This session and its demo will get you eager to use graph for Customer 360 too.

Graph+AI Breakout: Cryptocurrency Compliance Trading

Clovr Labs has created ChainPrint, an API-based approach to compliance on cryptocurrency trading. Because of the fluctuant aspect of the regulation around crypto trading, Clovr Labs has decided to propose an API-based approach that will fit into any crypto damage control project. Crypto traders can make their marketplace safer and financial...

Graph+AI Breakout: Benchmarking and Scaling for Success

In this talk, we will share our benchmarking effort experience, the rewarding benefits to our customers and our product, and call for the community to conduct fair use of the LDBC benchmarks to form a civilized competition environment and also drive its maturity.

Accelerating Digital Transformation With Graph and AI (JP)

グラフとAIによるDXの加速

TigerGraph Architecture Overview: Why It's 100x Faster Than Competition (JP)

TigerGraphアーキテクチャの概要: なぜ競合より100倍も速いのか

Million Dollar Challenge: 1st Place Most Applicable Entry - BioDex

BioDex better connects players to nature via gamification. Using AI computer vision, a species can be identified and added to your collection. Graph then connects that to all other species on Earth.

Million Dollar Challenge: 3rd Place Most Applicable Entry - TigerGraph for Unbiased News

This project helps foster critical thinking by showing the bias/accuracy of all news sources and also helps them explore news with differing viewpoints.

Million Dollar Challenge: 3rd Place Most Innovative Entry - Gemini

An eclectic news search engine that helps with deduplication of news articles and enriches your reading experience.

Million Dollar Challenge: 2nd Place Partner Employee Entry - Knowledge Keeper

Our solution builds a learning journey over a lifetime. Any user can add to their own journey, share the journey and see other people’s journeys.

Million Dollar Challenge: 2nd Place Most Innovative Entry - RepoLinks

RepoLinks is a graph for better collaboration. It connects developers and provides a window into an organization's technology stack.

Million Dollar Challenge: Most Innovative 1st Place Entry - Universe Planner

Tackle any complex problem with the social planning app where you can tap into social knowledge exactly when you need it!

Million Dollar Challenge: 3rd Place Partner Employee Entry - Mini Juba

Inspiration for this project came from our personal desire and interaction with the Spotify App. Music is inherently social, and we believe that this graph solution improves people’s quality of life by enhancing their musical experience through increased interaction and the ability to find people with similar music tastes.

Million Dollar Challenge: 3rd Place Most Ambitious Entry - Candoor

Candoor is a social networking site for people who would like to share or connect with others for anything from professional industry advice to tips for pursuing a hobby in a candid and informal way.

Million Dollar Challenge: Most Ambitious 1st Place Entry - ShockNet

Prevent crises by predicting the transfer of shocks through the world economy. Users can adjust assumptions, investigate the predicted chains of shocks, and identify ways to avoid a crisis.

TigerGraphの企業概要および製品デモ

TigerGraphを今すぐ導入しましょう： https://www.tigergraph.co.jp/get-tigergraph/

(JP) Graph + AI World 2020

グラフアルゴリズムでAI機械学習を加速しましょう。

Graph + AI 2020 まとめ - 大規模なグラフベースのID解決

AT＆T、WarnerMedia、Xandrのサクセスストーリーの要因の1つは、データ資産を組み合わせて、クロスデバイスの製品広告や適切なユーザーのターゲティング、コンテンツのパーソナライズなどといったソリューションを顧客に提供することにあります。これらの企業のデータは大きく、数十億という識別子が含まれているだけでなく、ユーザーアカウントやCookieなどのさまざまな種類の識別子で構成されています。その上、サードパーティのデータプロバイダーが持つデータの利用によってデータカバレッジはさらに拡大し、顧客に幅広いサービスを提供することができます。この目的のため、Xandrはマルチノードで高可用性のTigerGraphクラスターを構築し、このデータを統合してIDグラフに格納しました。...

Graph + AI 2020のまとめ - コロナ禍におけるビジネスとテクノロジーのプライオリティの再調整

"新型コロナウイルス感染症の世界的拡大は、世界中の組織のビジネスとテクノロジーのプライオリティを混乱させました。このセッションでは、Jaguar Land RoverのAlice Grout-Smith氏が、データと分析の専門家がグラフ・AI・機械学習を活用して、この前例のない難問にどのように適応しているかについて解説します。また、UnitedHealth GroupのEd Sverdlin氏もパネルに参加し、グラフとAIが毎日いかにして人の命を救っているのかについて語ります。

ビッグデータエンティティ解決のためのデータベース内機械学習 スターターキットのデモ

データベース内の機械学習を使って、大量のデータセットからエンティティを照合、接続、 グループ化して単独のアイデンティティを作成する方法

詳しくはデータサイエンスミニガイドをご覧ください。ダウンロードはこちらから: https://hubs.ly/H0qCrv30

ヘルスケア - 紹介ネットワークのスターターキット

TigerGraph ヘルスケア - 紹介ネットワーク、ハブ、コミュニティ検知のスターターキット

Crunchbaseデータを使ったTigerGraphデモ

Cruchbaseのデータセットを使ったTigerGraphのデモをご覧ください。Cruchbaseはスタートアップ企業と 投資家の情報をまとめた先端のデータベースです。TigerGraphはネイティブな並行グラフ(NPG)テクノロジーを活用してリアルタイムでグラフ分析を行う、世界初のプラットフォームです。TigerGraphは、大企業の複雑で膨大なデータ量にリアルタイムで対応できるディープリンク分析機能を提供して、グラフプラットフォームの真の期待価値とメリットを実現します。今すぐお試しください。https://www.tigergraph.co.jp/get-tigergraph/

TigerGraphの不正行為対策デモ

TigerGraphの不正行為対策のデモをご覧ください。 TigerGraphは、Native Parallel Graph（ネイティブ並列グラフ処理、NPG）テクノロジーを搭載した世界初のリアルタイムグラフ分析プラットフォームです。複雑かつ膨大なデータを扱う企業様向けのリアルタイムのディープリンク分析をサポートすることにより、グラフプラットフォームへのご期待に応え、大きなメリットを提供します。今すぐこちらよりお試しください。 https://www.tigergraph.co.jp/get-tigergraph

TigerGraphのエンタープライズグラフリレーションシップデモ

TigerGraphのエンタープライズグラフリレーションシップのデモをご覧ください。 TigerGraphは、Native Parallel Graph（ネイティブ並列グラフ処理、NPG）テクノロジーを搭載した世界初のリアルタイムグラフ分析プラットフォームです。複雑かつ膨大なデータを扱う企業様向けのリアルタイムのディープリンク分析をサポートすることにより、グラフプラットフォームへのご期待に応え、大きなメリットを提供します。今すぐこちらよりお試しください。 https://www.tigergraph.co.jp/get-tigergraph

TigerGraphのソーシャルコネクショングラフのデモンストレーション

TigerGraphのソーシャルコネクショングラフのデモをご覧ください。 TigerGraphは、Native Parallel Graph（ネイティブ並列グラフ処理、NPG）テクノロジーを搭載した世界初のリアルタイムグラフ分析プラットフォームです。複雑かつ膨大なデータを扱う企業様向けのリアルタイムのディープリンク分析をサポートすることにより、グラフプラットフォームへのご期待に応え、大きなメリットを提供します。今すぐこちらよりお試しください。 https://www.tigergraph.co.jp/get-tigergraph

TigerGraphのサプライチェーン デモ

TigerGraphのサプライチェーンのデモをご覧ください。 TigerGraphは、Native Parallel Graph（ネイティブ並列グラフ処理、NPG）テクノロジーを搭載した世界初のリアルタイムグラフ分析プラットフォームです。複雑かつ膨大なデータを扱う企業様向けのリアルタイムのディープリンク分析をサポートすることにより、グラフプラットフォームへのご期待に応え、大きなメリットを提供します。今すぐこちらよりお試しください。 https://www.tigergraph.co.jp/get-tigergraph

Graph Gurus Data Science Library Series Part 3: Improvements

Watch part three of the three-part series from TigerGraph "Improvements of our Graph Data Science Library" where we will show you:
• Ease-of-use improvements • Performance improvements • Workflow and use case examples

Graph for All Information Session

For the first time in TigerGraph’s history, we are offering you the opportunity to impact the world, learn innovative ways graph can be used, along with the chance to win from a large prize purse of one million dollars. Watch the Graph For All Million Dollar Challenge live informational session to learn about the challenge overview, what you will...

Translating Relational to Graph

Follow along with the videos using the linked codebase: https://github.com/DanBarkus/Patent_Graph

TigerGraph in the Real World

TigerGraph vous souhaite la bienvenue à la table ronde de CDAO ThinkTank

Christian Raza, directeur commercial Europe du sud, vous accueille à la table ronde de CDAO ThinkTank le 7 déc prochain pour parler de l'évolution des plateformes data des entreprises.

Graph + AI Summit - What's Next

New York October 19

TigerGraph - The Age of Graph

You use graphs every day - learn how Graph + AI transforms the world.

TigerGraph & Kubernetes Deployments: Kubernetes and TigerGraph Explained and a hands-on deployment.

Kubernetes is a popular container-orchestration platform. In this talk, we will demonstrate how to deploy and manage a TigerGraph cluster on Kubernetes and introduce the principles behind it.

Graph + AI Summit, Fall 2021 | A Look Back at Graph + AI, Spring 2021

Join us for our Fall Graph + AI Summit. Sign up: https://www.tigergraph.com/graphaisummit/

Northeastern Hackathon with TigerGraph and Plotly Kickoff

We invite you to our Northeastern Hackathon with TigerGraph and Plotly! Learn how to get started in this kickoff video! https://www.eventbrite.com/e/northeastern-hackathon-with-tigergraph-and-plotly-tickets-162717192503

UCSD: TigerGraph + Plotly Part 3

Take the survey below: https://docs.google.com/forms/d/1pY0aK1UgTj8ZnWhBTCoELCihN7DKvxDU2RnKWZRGPC0/viewform?edit_requested=true

Wish.com Increases Revenues with Personalized Ecommerce Recommendations with TigerGraph

Using Plotly to Visualize your TigerGraph Data

By Shreya Chaudhary, Developer Advocate Intern at TigerGraph

Link to Colab to follow along (https://colab.research.google.com/drive/13nSPlySH9deZs0mft7oikOSCuUo5RBI6?usp=sharing) Link to pyTigerGraph documentation (https://pytigergraph.github.io/pyTigerGraph/) Link to Plotly Express documentation...

DATALAND

by Landry Fotso

Best Documented App

Since the beginning of the Covid19 and before, the repartition of medical devices in the world is unequal. In this project, I analysed the repartition of that equipment in all the counties to show those that are the most in need, which are the providers providing the most devices, so that it can help to...

TigerGraph 2020 Graphathon: TigerGraphCLI

An easy-to-use CLI for interacting with TigerGraph databases.

Learn more here: https://devpost.com/software/tigergraphcli

TigerGraph 2020 Graphathon: MixPose

MixPose is a live streaming platform for yoga classes. We use A.I. on the Edge to do pose detection for the users and to send feedback to the yoga instructors.

Learn more here: https://devpost.com/software/mixpose-web

TigerGraph 2020 Graphathon: FRC Data Analytics

Analyzing FIRST Robotics Competition, or FRC, data using TigerGraph for the back-end and Plotly Dash for the front-end.

Learn more here: https://devpost.com/software/frc-data-analytics

Graph + AI 2020 Recap - How to Build an AI Based Customer 360 Platform

Design principles and patterns for building a Customer 360 platform for the AI needs of the enterprise. This session includes a demonstration of methods to integrate asynchronous and synchronous patterns of communication in the context of a Big Data store.

To watch these full videos on-demand go to...

Graph + AI 2020 Recap - Transforming Data Science with Graph + AI

An open discussion on what Graph Database, Analytics, and AI can do for a data scientist (new capabilities and use cases, augmentation of current use cases)

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

Graph + AI 2020 Recap - Transforming Media & Entertainment Roundtable

Graph databases are used to identify, link and merge duplicate customer entities and for building insightful 360° views of customers. This typically leads to higher revenues as a consequence of more precise and effective product and service recommendations. Join executives from Ippen Digital and Xandr (part of AT&T) to hear how graph and...

Graph + AI 2020 Recap - Day 1

Graph + AI 2020 Day 1 Recap

To watch these full videos on-demand register at graphaiworld.com

Step 1: Log into the Graph + AI World 2020 attendee virtual portal - https://pheedloop.com/graphaiworld/virtual/.

Step 2: Click on “Sessions” and select Filter and scroll down to select the speaker (e.g. Ed Sverdlin, Dan McCreary, Harry Powell..) or...

Graph Gurus II London

Virtual Graph Gurus Comes to You - Recorded March 18, 2020

Webinar: Supply-Chain Optimisation Using Native Parallel Graphs

Richard Henderson, lead EMEA Solution Architect, will show you how TigerGraph can add graph-analytic capabilities to your supply-chain intelligence. In 20 minutes he will use the unique capabilities of TigerGraph to go from data integration through to extraction of high-value intelligence using your existing data-sets.

Graph Gurus 25: Unleash The Business Value Of Your Data Lake With Graph Analytics

In this webinar we will explain how native parallel graphs can analyze the information in data lakes to enable the following outcomes:

-Recommending next best actions such as promoting a student loan to someone heading off to college, advocating life insurance to a newly married couple, and so on -Improving network utilization by analyzing...

Customer360 - Attribution Engagement Starter Kit

TigerGraph Clous Customer360 Starter Kit

TigerGraph Fundamentals - Module 4: Seven Key Data Science Capabilities of Native Parallel Database

The last module for TigerGraph Fundamentals Certification

TigerGraph Fundamentals - Module 3: Evolution of Graph Databases

The third of four modules for TigerGraph Fundamentals Certification.

TigerGraph Fundamentals - Module 2: Managing Relationships - Relational, NoSQL and Graph Databases

The second of four modules for TigerGraph Fundamentals Certification.

Microsoft for Startups - TigerGraph November 2018

COO, Todd Blaschka, at Microsoft HQ for TigerGraph's Demo Day Pitch.

TigerGraph 2 Minute Overview

TigerGraph offers the world’s fastest graph analytics platform that tackles the toughest data challenges in real time, no matter how large or complex the data set. TigerGraph stores all data sources in a single, unified multiple-graph store that can scale out and up to easily and efficiently explore, discover and predict relationships. Unlike...

Webinar: MultiGraph For Security And Profit: One Dataset, Multiple Views

Enterprises have many different datasets and for each one, they need to manage who can see and work with the data. Managing multiple systems is an expensive and burdensome problem. TigerGraph’s new MultiGraph feature not only supports multiple separately managed subgraphs, but it also supports overlapping (shared) subgraphs. This opens up exciting...

TigerGraph's Social Connections Graph Demo

Watch TigerGraph's social connections graph demo. TigerGraph is the world’s first Real-Time Graph Analytics Platform powered by Native Parallel Graph (NPG) technology. TigerGraph fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for enterprises with complex and colossal amounts of data. Try it...

TigerGraph's Enterprise Graph Relationship Demo

Watch TigerGraph's Enterprise Graph Relationship demo. TigerGraph is the world’s first Real-Time Graph Analytics Platform powered by Native Parallel Graph (NPG) technology. TigerGraph fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for enterprises with complex and colossal amounts of data....

TigerGraph Demo Using Crunchbase Data

Watch this demo of TigerGraph using a data set from Crunchbase, a leading database of startup companies and their investors. TigerGraph is the world’s first Real-Time Graph Analytics Platform powered by Native Parallel Graph (NPG) technology. TigerGraph fulfills the true promise and benefits of the graph platform by supporting real-time deep link...

TigerGraph Testimonial - Ash Patel, Morado Venture Partners

Testimonial by Ash Patel, Founding Partner of Morado Venture Partners. TigerGraph is the world’s first Real-Time Graph Analytics Platform powered by Native Parallel Graph (NPG) technology. TigerGraph fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for enterprises with complex and colossal...

TigerGraph Testimonial: Alin Deutsch, UCSD Professor

Alin Deutsch, Professor of Computer Science and Engineering, UCSD Database Lab. Testimonial for TigerGraph. TigerGraph is the world’s first Real-Time Graph Analytics Platform powered by Native Parallel Graph (NPG) technology. TigerGraph fulfills the true promise and benefits of the graph platform by supporting real-time deep link analytics for...

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