The Role of Emerging Technology in the Federal Emergency Response
ATARC Virtual Conference: June 11, 2020 from 9 AM-3 PM Government RegistrationIndustry ParticipationAI and Data Analytics (Track 4)
11:40 AM-12:00 PM
AI and Data Analytics (Track 4) Keynote

Sunmin Kim
AI Policy Chief, JAIC
12:00-12:15PM
Self Service Data Transformation in the Federal Government; A look at Criminal Investigation and Maintenance Analytics
Explore how Altair’s self-service data analytics platform enables people of all skill levels to access, generate, and use smart data to make insightful, informed decisions. We’ll be joined by our solution specialist to see how different federal government data sets, including criminal investigation data and maintenance analytics data can be easily transformed and business processes automated.

Daniel Bolon
Director, Federal Programs, Altair

James Tirbaso
Federal Government Data Analytics Solution Specialist, Altair

12:15-1:15 PM
AI and Data Analytics Panel 1: RPA During Emergencies

Mitch Winans
Special Assistant, IRS

Kathleen Walch
Managing Partner and Principle Analyst, Cognilytica

Rajeev Dolas
Director (Acting), Office of Organizational Policy and Governance (OPG), USPTO

Nick Psaki
Principal Engineer, Pure Storage

Moderator: Jory Heckman
Reporter, Federal News Radio
1:00-1:15 PM
Artificial Intelligence in Your Agency to Ensure Mission Success
Learn how Pure Storage can help your agency achieve maximum benefits of AI Implementation along with how to streamline the process of onboarding AI technology into your existing infrastructure while keeping Cybersecurity top of mind. Â

Nick Psaki
Principal Engineer, Pure Storage

1:05-1:35 PM
Lunch and Technology Showcase
1:30-1:50 PM
AI and Data Analytics Afternoon Keynote
This Keynote will focus on best practices around emergency response and how technology enables data driven decision making with a focus on the ‘should’ or ‘could.’Â

Krista Kinnard
Artificial Intelligence CoE Lead, GSA
1:50-2:00 PM
Why Data Science Is a Team Sport
When working on group data projects, one of the most common challenges that teams face is difficulty sharing work in a transparent and efficient way. In this session, we will show how Dataiku DSS, a collaborative data science platform, helps alleviate some common pains around disparate technical skillsets, lack of visibility into teammates’ logic and processes, and project communications and oversight by mission owners.

Christina Hsiao
Evangelist and Solutions Engineer, Dataiku

2:00-3:05 PM
AI and Data Analytics Panel 2: Ethics, Responsibility, and Addressing Fairness in Consequential AI
AI and ML systems are greatly dependent upon their training data to ensure results from the algorithms are fair and ethical. These concerns are particularly important for government decision making that may affect citizens and services. How should the government validate, measure, and ensure the ethics and fairness of AI systems and decisions?

Anil Chaudhry
Director, AI Implementations, GSA

Chakib Chraibi
Chief Data Scientist, NTIS, US Department of Commerce

Richard Eng
Department Chief Engineer, Applied Software Engineering, MITRE

Michael Hauck
Data Scientist Senior Subject Matter Expert, DOD

Ron Shmelzer
Managing Partner and Principle Analyst, Cognilytica

Paul Moxon
SVP Data Architecture & Chief Evangelist, Denodo

Moderator: Aaron Boyd
Senior Editor for Technology and Events, NextGov
2:50-3:05 PM
Interagency Data Sharing in the Time of COVID-19
The need to integrate data from disparate sources and share it among government agencies is more important than ever. In addition to analytics initiatives that fuel modernization and improve the citizen experience, governments urgently need to use health data to fight COVID-19, now and in the future.
The time and costs associated with traditional data integration aren’t sustainable for today’s rapidly changing environment. Join this Denodo session to learn how data virtualization brings the agility and efficiency governments need.
Denodo will discuss:
- How this data-as-a-service approach offers real-time access to information for government’s most urgent projects
- The challenges with traditional data integration and how data virtualization differs
- An overview of Denodo’s free Coronavirus Data Portal, which leverages data virtualization to integrate disparate COVID-19 data to help data scientists, analysts and researchers find solutions for the pandemic

Paul Moxon
SVP Data Architecture & Chief Evangelist, Denodo
