TEXAS GOVERNMENT DATA FORUM 2020
Data - Pathway to Understanding and Innovation
Thursday, June 25 | 8:00 AM - 4:30 PM | Austin, Texas
Hosted by the Texas Department of Information Resources (DIR)
CALL FOR PRESENTATIONS
Presentation proposals are now being accepted for the June 25th conference. This event is organized by the Texas Department of Information Resources (DIR) and sponsored by TASSCC.
Proposals may be submitted from public sector organizations (state agencies, universities, local governments, etc.), industry partners, or any others willing to share expertise.
All proposals will be reviewed by the conference committee. If you have any questions, please contact Tammi Powell of DIR.
The deadline for proposals will be extended past March 31, 2020. A new deadline will be announced the week of March 30.
Speakers agree to provide an advance copy of presentation to DIR by June 12th.
ALL TOPICS MUST BE GENERICALLY EDUCATIONAL: NO MARKETING. NO PRODUCT/COMPANY PROMOTION.
For this year's breakout sessions, we will be selecting presentation submissions that offer co-presentation (vendor-partner and customer) and a use case/storytelling format.
Feedback from past forums have indicated high satisfaction for these types of presentation formats. The vendor partner can share how they addressed the need or challenge and the customer can share the message, or story, as to the value and success of vendor partner engagement.
Proposals are being accepted in the following categories:
Data Governance (DG) - use cases related to defining the structure/model, implementing the DG model, associated roles, practices and policies to consider.
Robot Process Automation (RPA) - use cases that showcase how RPA has helped to drive greater efficiency surrounding the business workflow. Challenges and best practices to consider for implementation
Analytics and/or Artificial Intelligence (AI) - use cases that show how analytics have helped address a societal issue impacting government or helped a customer draw greater deeper understanding of their business in order to make better informed decisions.
Data Quality (DQ) - use cases that provide a solution to addressing data quality across multiple sources of data. Addressing master data management (MDM) and best practices with maintaining high levels of data quality on an ongoing basis.
Machine Learning (ML) - use cases that provide a focus on the development of computer programs that leverage AI to access data and use it to learn for themselves. How this technology is being used in the industry and how it has helped solve customer challenges with large amounts of data sources.