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

Analytics Strategy

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.

Friday, April 16, 2021

- EDT
Keynote: Modernizing Data Science and Analytics Roles
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Bill Franks
Bill Franks
Kennesaw State University, School of Data Science and Analytics, Director of the Center for Statistics and Analytical Research

A discussion of how roles and skills are evolving across the analytics and data science space. Points out some important new roles that are growing and talks about how to adapt your organization to the trends.

- EDT
Evergreen Analytics Strategy Frameworks That Help Data Professionals Lead With Confidence
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Lillian Pierson
Lillian Pierson
Data-Mania, Chief Executive Officer

Constantly questioning whether the value of the work you do as a data professional really justifies the salary they're paying you? That concern is more than valid, but what if I told you that there is a proven process for making triple sure that your data projects result in business success for your company? In this brief session, you’ll learn how to build an analytics strategy framework from the ground up. If you’re in the conception/kick-off phase of a data project, and are wanting to develop an evergreen strategy for analytics, data management or even machine learning products, this session will show you how to get started doing that right away. This session is for data professionals who want a head-start on creating data strategies; whether that be an AI strategy or just a general data strategy - this session will help you craft a strategic framework so you can start taking measures to ensure that your data projects produce greater business ROI. 

What you’ll get: 

  • A Clear Understanding Of The Value And Necessity For An Evergreen Analytics Strategy Framework: To create an evergreen analytics strategy framework, you first need to understand what it is and how it’s beneficial, so I’ll break that down for you. 
  • Steps That Go Into Creating Your Own Evergreen Analytics Strategy Framework: You’ll come away with all the steps and ingredients that go into creating an evergreen analytics strategy framework. 
  • A Proven Data Strategy Framework You Can Use Starting Today: Bypass all the hard work of developing your own framework, and just use mine. I’ll be providing that to you for free in this brief session. 
- EDT
From Data to Execution
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Orit Ronen, PhD
Orit Ronen, PhD
Understood.org, Director of Data Science

You might have heard that there are only three things that matter - execution, execution, and execution. But how do you bridge the gap between strategy and execution? 

We all make decisions. All the time. Especially leaders.

We all want those decisions to be “evidence-based” and are investing resources and efforts in building the data infrastructure, teams, and functionality of our organizations. But how can data and data scientists inform not only the company’s direction and strategy, but also support its execution? 

In this talk, I will present two quick case studies that demonstrate how data can lead to successful execution. The first of which is a past case in which a reliable causal analysis was instrumental to setting the direction of a young mental health startup and securing a 45 million dollar investment in its Series C. The second is a present example of a social impact organization setting its course to reach diverse audiences supporting people who learn and think differently in all areas of life and shape the world for difference.

- 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
Nechama Katan
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