IBM | The Next Gen of AI for Government

Thank You For Attending!

Artificial intelligence (AI) is not new. In fact, it’s one of the most significant contextual changes for the U.S. federal government in the past decade. Traditional more task specific AI has and will continue to enable important advancements for many federal agencies in operational efficiency, productivity and decision making. And now with the explosive (and public) entrance of generative AI, the opportunities to apply the technology have expanded in scope and scale. A true technology disruption, generative AI will reinvent the way work gets done.

But technology disruptions have happened throughout history, what’s so different about this one? Generative AI is unique because the technology, regulations, and organizational adoption are all accelerating exponentially at the same time. And the buzz is sure to keep growing as more organizations join in and find new use cases as the technology becomes more integrated into everyday processes. In tandem, generative AI also comes with potential risks. While regulations are discussed and developed in tandem trust, cybersecurity, privacy, accuracy, transparency and governance are still prerequisites to the use of AI. Agencies must be able to correctly identify, quantify, or manage potential risks, when it comes to both AI data sources and the final output.

Where and how should federal agencies begin?

Can federal agencies begin to join in, responsibly? What specific use cases will make the most impact? And what about traditional AI? The technology continues to excel for agencies in task-specific ways – can generative AI work in tandem to provide even more powerful solutions?

And most importantly – how can enterprise AI and data platforms support agencies’ efforts with an efficient and governed approach to AI development and deployment?

Moments like this do not come around often. IBM stands ready to empower federal agencies on their journey to the next generation of AI.

Attendees learned how IBM can support federal agencies as they investigate the potential of generative AI. They heard use cases that demonstrate an efficient and governed approach to AI deployment across a variety of environments. Let's get started with generative AI – today!

8:30 AM	Registration & Demo Showcase
8:55 AM	Opening Remarks Troy Schneider, President, GovExec 360
9:00 AM	Keynote Speaker Taka Ariga, Chief Data Scientist and Director of Innovation Lab, Government Accountability Office
9:20 AM	Importance of AI in Federal Mark Johnson, Vice President, Technology, U.S Federal Market, IBM Susan Wedge, Managing Partner, U.S. Public and Federal, IBM Consulting Moderator: Troy Schneider, President, GovExec 360
9:40 AM	Government Fireside Chat Conrad Stosz, Director of AI, Office of the Federal Chief Information Officer, Office of Management and Budget Moderator: Troy Schneider, President, GovExec 360
10:00 AM	Practical Use Cases of Generative AI for the Federal Government Mohamed Ahmed, IBM Fellow, Master Inventor, and Director of the AI Applied Research Laboratory, IBM Federal In this segment, Mohamed Ahmed will highlight some federal use cases where IBM leveraged Generative AI in a trusted and secure way to enhance operational efficiencies and extract insights and relevant information from a vast amount of unstructured data. Rob Albritton, Vice President Artificial Intelligence, Octo an IBM Company Sharing the work that Octo, an IBM company, has done with DOD, Rob Albritton will take the audience on a journey beyond AI buzzwords into the world of pragmatic productionization and operationalization of generative AI for defense applications.
10:20 AM	Final Remarks Susan Wedge, Managing Partner, U.S. Public and Federal, IBM Consulting
10:25 AM	Closing Remarks & Demo Showcase Troy Schneider, President, GovExec 360
11:00 AM	Event Conclusion

watsonx.data	Scale AI workloads, for all your data, anywhere
watsonx.governance	Enable responsible, transparent and explainable AI workflows
watsonx.ai	Train, validate, tune and deploy AI models Showcasing IBM’s generative AI capabilities through watsonx Assistant. The demos will illustrate how watsonx.ai unlocks the power of large language models by generating responses based on tailored prompts. The demo will also show how watsonx Assistant can complete retrieval augmented generation through Watson Discovery and watsonx.ai.
Semantic Edge	Octo an IBM Company will be demoing Semantic Edge, a low-SWaP based local language learning model for rapidly analyzing, exploiting, and exploring text documents in disparate formats at the tactical edge.
IBM Consulting	IBM Consulting will be sharing the following AI use cases: FDA Guidance Document Search – Equipping FDA users with a Q&A capability that searches across 2,700+ guidance documents to quickly supply accurate, user-friendly responses to common questions regarding FDA guidance; Citations are also provided to reference the specific document(s) used in formulating each response VA HR Job Posting Creation and Candidate Screening – Expediting VA’s hiring process by equipping HR employees with the ability to automatically create job requisitions and subsequently score resumes based on desired skillsets found in a position description; This functionality will allow VA HR employees to streamline creation of job requisitions and quickly review the top 5-10% of candidates that most closely align with a job posting. VA Rating Disabilities Advisor – Providing Veteran Service Representatives (VSRs) with a policy tool that advises them on rating criteria for specified medical conditions; Through easy-to-use prompting, VSRs can leverage this GenAI capability to accelerate speed to decisions on the VA’s growing backlog of disability claims.