BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv6.5.5//EN
X-ORIGINAL-URL:https://summits.harrisburgu.edu/analyticssummit2022/
X-WR-CALNAME:Data Analytics Summit
X-WR-CALDESC:2022
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=America/New_York:20220330T113000
DTEND;TZID=America/New_York:20220330T121500
DTSTAMP:20220225T171500
UID:MEC-e0eda8d7f3e989da400a82781def8eac@summits.harrisburgu.edu
CREATED:20220225
LAST-MODIFIED:20220322
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Consumable Artificial Intelligence and Machine Learning Visualized in Tableau for Public Sector Decision-Making
DESCRIPTION:\n\n\nIntegrating understandable artificial intelligence and machine learning into government decision-making is a common challenge throughout the public sector. Learn how Tableau makes artificial intelligence and machine learning (AI and ML) consumable for knowledge workers across your organization. The session will focus on public sector decision-making and is intended for beginner-level to advanced audiences. During this session, the speaker will: – Provide an understanding of Tableau’s core areas of AI and ML – A live walkthrough of Tableau’s AI and ML capabilities and their practical application in decision-making – Explore Tableau’s Python and R integrations using: easy-to-implement deep-learning-based natural language processing – Champion challenger predictive modeling\n\n\n\n
URL:https://summits.harrisburgu.edu/analyticssummit2022/events/track-2-virtual-consumable-artificial-intelligence-and-machine-learning-visualized-in-tableau-for-public-sector-decision-making/
ORGANIZER;CN=Anthony Young | Director:MAILTO:
CATEGORIES:Track 2
END:VEVENT
END:VCALENDAR