The Decade of the Data Translator The Decade of the Data Translator

Machine Learning

Thursday, April 15, 2021

- EDT
Zero to Advanced Analytics and Machine Learning with TigerGraph Cloud
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Robb Horton
Robb Horton
TigerGraph, Senior Sales Engineer

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 deep link analytics while performing Ad-Hoc analysis on interconnected datasets. We will cover the schemas, data import, queries, and RESTful application integration.

We will also introduce two new no-code tools - visual query builder and RDBMS to graph migration tool. Through simple clicks and drag-and-drop in the GraphStudio UI, these no-code tools decrease the learning curve for more users, such as relational database developers, data scientists, and business analysts.

- EDT
Machine Learning with PyCaret
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Moez Ali
Moez Ali
PyCaret, Founder

Target Audience: Data Scientist, Citizen Data Scientist, Machine Learning Engineer, Business Analyst, Data Science Students, Consultants, MLOps.
How should they prepare for workshop? If you would like to follow-along the demo, please make sure you have a Jupyter Notebook or Colab is ready with pycaret installed. You can install PyCaret using pip. Simply type `pip install pycaret`. Check out our documentation for more details on installation.

Friday, April 16, 2021

- EDT
Meet & Greet with TigerGraph
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Danny Luu
Danny Luu
TigerGraph, Marketing Development

TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. The company is headquartered in Redwood City, California, USA. Start free with tigergraph.com/cloud. 

Don't miss next week's Graph+AI Summit

- EDT
Introduction to TigerGraph Cloud - How to Run TigerGraph on AWS, Azure and GCP
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Emma Liu
Emma Liu
TigeGraph, Senior Product Manager

TigerGraph Cloud, a cloud agnostic database-as-a-service offering, enables users to leverage graph analytics on AWS, Azure, and GCP. TigerGraph Cloud not only fully manages clusters, but also provides a use case library via starter kits, which greatly reduces customers’ time to business value and decreases the learning curve to specific graph database use cases such as fraud detection, recommendation, customer 360, AI and in-database machine learning. This session provides an end-to-end overview of TigerGraph Cloud with a short demonstration that showcases starter kits and other unique functionality.

- EDT
How Intuit, Jaguar Land Rover, Xandr and Unitedhealth Group Are Driving Business Outcomes With Graph Database & AI
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Gaurav Deshpande
Gaurav Deshpande
TigerGraph, VP of Marketing

The COVID-19 pandemic has accelerated the pace of digital transformation across all industries. Organizations are looking for ways to accelerate their analytics, AI and machine learning projects to increase revenue, manage risks and improve customer experience. Join us to learn about the three core capabilities necessary to drive the business outcomes:

  • Connect internal and external datasets and pipelines with a distributed Graph Database - UnitedHealth Group is connecting 200+ sources to deliver a real-time customer 360 to improve quality of care for 50 million members;  Xandr(part of AT&T) is connecting multiple data pipelines to build an identity graph for entity resolution to power the next-generation AdTech platform.
  • Analyze connected data for never-before insights with Advanced Analytics - Jaguar Land Rover has accelerated supply chain planning from three weeks to 45 minutes, reduced supplier risk by 35% and is driving 3 times the business value from their data. NewDay, a leading specialist financial services provider and one of the largest issuers of credit cards in the UK uses advanced graph analytics to prevent and preempt financial fraud.
  • Learn from the connected data with In-Database Machine Learning - Intuit has built an AI-based customer 360 with in-database machine learning for entity resolution, personalized recommendations and fraud detection. It is driving their transformation into an AI-driven expert platform. 7 out of the top 10 banks are driving real-time fraud detection and credit risk assessment with in-database machine learning.


- EDT
Meet & Greet with TigerGraph
Join on Zoom
Danny Luu
Danny Luu
TigerGraph, Marketing Development

TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. The company is headquartered in Redwood City, California, USA. Start free with tigergraph.com/cloud. 

Don't miss next week's Graph+AI Summit

- EDT
Meet & Greet with TigerGraph
Join on Zoom
Danny Luu
Danny Luu
TigerGraph, Marketing Development

TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. The company is headquartered in Redwood City, California, USA. Start free with tigergraph.com/cloud. 

Don't miss next week's Graph+AI Summit

- EDT
PANEL - Rolling out Analytics, AI and Machine Learning Projects - Challenges, Opportunities, and Lessons Learned
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Gaurav Deshpande
Gaurav Deshpande
TigerGraph, VP of Marketing
Afrozy Ara
Afrozy Ara
Incedo Inc., Director - Data Science & Analytics
Nechama Katan, PhD
Nechama Katan, PhD
Pfizer, Director of Data Science
Kratik Malholtra
Kratik Malholtra
Texas A&M Football Team, Head of Data Science
Frances Boykin PhD
Frances Boykin PhD
AT&T, Principal Advanced Analytics Manager
Sarah Nooravi
Sarah Nooravi
SnapChat, Data Scientist