2 minute read 23 Feb 2024
Business people in modern office

How to build a strong foundation for federal AI adoption

Authors
Ryan Doherty

Principal, Government & Public Sector Technology Consulting, Ernst & Young LLP

Proud husband and father. Data geek. Avid snowboarder, reader and coffee aficionado. Aspiring runner. Committed to building a better working world by advancing diversity, equity and inclusiveness.

Amy Jones

Senior Manager, Government and Public Sector, Ernst & Young LLP

Unapologetic youth sports enthusiast who drives enterprise data literacy at scale. Lover of old homes and world explorer. Novice baker and future neighborhood tennis star.

Joe Baptiste

Senior Manager, Digital & Emerging Technology, Ernst & Young LLP

Father, husband, CPA and tech enthusiast. Looking to transform governments digitally using AI-enabled cobots in a new future of work for professionals across all lines of business.

2 minute read 23 Feb 2024

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  • Building a strong foundation (pdf)

Data-driven decision-making has long been a mission enabler for the federal government, but the proliferation of new artificial intelligence and machine learning (AI/ML) tools presents both opportunities and challenges for agencies. Read the EY federal AI report to learn more.

In this report:

  • Understand where agencies are sourcing and implementing data.
  • Identify challenges and bottlenecks decision-makers face.
  • Identify a manageable path forward to AI integration and implementation.

Where do agencies need to start in order to demystify AI? The EY Center for Government Modernization commissioned a federal AI survey to find out.

Widespread AI adoption is coming. Nearly three-quarters of federal respondents think it will take place within the next three years. The pace at which agencies can adopt these tools will likely vary depending on a variety of factors that range from procurement speeds to regulations to cost. Still, those agencies that get themselves and their data AI-ready now are more likely to be able to rapidly and holistically integrate AI into their toolkits when the moment arises.

Building a strong and resilient data governance foundation isn’t done in a day. But with the right considerations and partnerships, agencies across the government can prepare themselves securely and compliantly for the possibilities that await.

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Summary

Agencies have an imperative to embrace and strategically adopt AI technologies, even though navigating the landscape of data quality and governance and choosing the right investment can be daunting. But it doesn’t have to be. As we stand at the intersection of technology and governance, the path forward is clear – an intentional and well-informed embrace of AI holds the key to a more agile, responsive and technologically advanced future for federal agencies and the constituents they serve.

About this article

Authors
Ryan Doherty

Principal, Government & Public Sector Technology Consulting, Ernst & Young LLP

Proud husband and father. Data geek. Avid snowboarder, reader and coffee aficionado. Aspiring runner. Committed to building a better working world by advancing diversity, equity and inclusiveness.

Amy Jones

Senior Manager, Government and Public Sector, Ernst & Young LLP

Unapologetic youth sports enthusiast who drives enterprise data literacy at scale. Lover of old homes and world explorer. Novice baker and future neighborhood tennis star.

Joe Baptiste

Senior Manager, Digital & Emerging Technology, Ernst & Young LLP

Father, husband, CPA and tech enthusiast. Looking to transform governments digitally using AI-enabled cobots in a new future of work for professionals across all lines of business.