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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 brief
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.
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.
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.
