The Role of Emerging Technology in the Federal Emergency Response

ATARC Virtual Conference: June 11, 2020 from 9 AM-3 PM
Government RegistrationIndustry Participation

AI and Data Analytics (Track 4)

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11:40 AM-12:00 PM

AI and Data Analytics (Track 4) Keynote

Sunmin Kim

Sunmin Kim

AI Policy Chief, JAIC

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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

Daniel Bolon

Director, Federal Programs, Altair

James Tirbaso

James Tirbaso

Federal Government Data Analytics Solution Specialist, Altair

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12:15-1:15 PM

AI and Data Analytics Panel 1: RPA During Emergencies

Mitch Winans

Mitch Winans

Special Assistant, IRS

Kathleen Walch

Kathleen Walch

Managing Partner and Principle Analyst, Cognilytica

Rajeev Dolas

Rajeev Dolas

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

Nick Psaki

Nick Psaki

Principal Engineer, Pure Storage

Moderator: Jory Heckman

Moderator: Jory Heckman

Reporter, Federal News Radio

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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.  

Nick Psaki

Nick Psaki

Principal Engineer, Pure Storage

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1:05-1:35 PM

Lunch and Technology Showcase

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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.’ 

Krista Kinnard

Krista Kinnard

Artificial Intelligence CoE Lead, GSA

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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

Christina Hsiao

Evangelist and Solutions Engineer, Dataiku

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2:00-3:05 PM

Mitre 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

Anil Chaudhry

Director, AI Implementations, GSA

Chakib Chraibi

Chakib Chraibi

Chief Data Scientist, NTIS, US Department of Commerce

Richard Eng

Richard Eng

Department Chief Engineer, Applied Software Engineering, MITRE

Michael Hauck

Michael Hauck

Data Scientist Senior Subject Matter Expert, DOD

Ron Shmelzer

Ron Shmelzer

Managing Partner and Principle Analyst, Cognilytica

Paul Moxon

Paul Moxon

SVP Data Architecture & Chief Evangelist, Denodo

Moderator: Aaron Boyd

Moderator: Aaron Boyd

Senior Editor for Technology and Events, NextGov

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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

Paul Moxon

SVP Data Architecture & Chief Evangelist, Denodo