CALL FOR PRESENTATIONS
Presentation proposals are now being accepted. 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 email@example.com.
The deadline for proposals will be June 30, 2022.
Speakers agree to provide an advance copy of presentation to DIR by August 23rd.
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 or artificial intelligence have helped address an 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.
Software Defined Networks - use cases that show how SDN enables dynamic, efficient network configurations that operate more like cloud computing rather than traditional network management.
Digital Transformation - use cases that demonstrate a strategic approach to the adoption of digital technologies to create new or improve existing processes, services and customer experiences.
Modern Application Development - use cases that include web and mobile backends, IoT (Internet of Things) applications, AI/ML workloads, batch processing, shared services platforms, and microservice backends.
Other related topics will be considered, provided that they align with the conference theme.