Federal Artificial Intelligence Landscape, 2023
Published: July 28, 2022
Deltek's Federal Artificial Intelligence Landscape, 2023 report analyzes the legislation, strategies leadership, research and spending patterns helping shape the federal AI marketplace.
An increasing number of federal agencies are exploring artificial intelligence (AI) technologies as a tool to advance mission and business operations and improve citizen services. Data proliferation, combined with the pressure of global competition, are also drivers for federal AI investment. However, most agency spending remains dedicated to research and development, and large-scale AI adoption remains slow. Some agencies are beginning to implement AI and automation in administrative tasks to prioritize cognitive responsibilities across the federal workforce.
A succession of legislation and reports direct higher federal spending in AI, though a lack of quality data input and inherent AI bias are among the challenges agencies face in implementation. Upcoming strategies such as NIST’s AI Risk Management Framework, as well as agencies’ keen focus on improved data management practices, are poised to help expand investment in the transformative technology in the foreseeable future.
- AI Adoption Drivers. The combination of AI legislation, individual agency strategies, and expansions in AI leadership will help to advance federal use of AI and accompanying technologies such as machine learning (ML).
- Technology Influencers. AI’s intersection with tech areas such as cloud, cyber and 5G help enable the transformative technology to expand across the federal spectrum.
- Implementation Barriers. Quality of data, cultural barriers, technology transparency, effective oversight and responsible AI remain challenges in federal AI adoption.
- Administration Priorities. Federal agencies will continue to use AI and predictive analytics to address the Biden Administration’s priorities in national security, climate change, and social and economic inequalities.
- AI Spending Trends. AI federal spending remains rooted in R&D, however, areas of AI such as robotic processing automation (RPA) are gaining momentum as agencies automate mundane, repetitive tasks to augment the federal workforce and shift responsibilities to “high-value,” cognitive work.
- Acquisition Approaches . Federal agencies increasingly using acquisition methods such as Other Transaction Agreements (OTAs) to deploy AI technologies will pave the way for traditional as well as non-traditional contractors and small businesses to enter the federal AI market under simpler conditions.
Critical Insight for Vendors
Deltek's Federal Artificial Intelligence Landscape, 2023 report takes a strategic look at the spending trends, drivers, and inhibitors shaping federal AI acquisitions.
The report provides:
- Analysis of policies and leadership driving the federal AI market landscape.
- Assessment of historical spending trends in AI adoption.
- Insight to agency AI use cases and priorities as well as potential contracting opportunities.
- Recommendations to help contractors evaluate the impact of trends on their businesses.
Deltek's Federal Artificial Intelligence Landscape, 2023 report is delivered in PowerPoint® format, including a PowerPoint® Executive Briefing, and an Excel® data workbook.
FEDERAL ARTIFICIAL INTELLIGENCE LANDSCAPE, 2023
TABLE OF CONTENTS
- Report Purpose
- Scope and Methodology
- Market Segment Definitions
- Key Findings
Policy and Leadership
Agency Analysis and Contract Spending
Conclusions and Recommendations