Without a doubt, 2023 has shaped up to be generative AI’s breakout year. Less than 12 months after the introduction of generative AI large language models such as ChatGPT and PaLM, image generators like Dall-E, Midjourney, and Stable Diffusion, and code generation tools like OpenAI Codex and GitHub CoPilot, organizations across every industry, including government, are beginning to leverage generative AI regularly to increase creativity and productivity.

The US government software modernization policy encourages federal agencies, including the Department of Defense (DoD), to leverage investments already made in application development and authorizations to operate (ATOs). The goal of repurposing existing, working applications is to enable agencies to reduce development time and costs by leveraging software that has been purchased and implemented by another team.

Digital government and digital services are the top priorities for state governments, according to the recently published National Association of State Chief Information Officers (NASCIO) Top 10 Policy and Technology Priorities for 2024. Tied for first place is cybersecurity and risk management, followed by legacy application modernization.

It’s a milestone moment for Snowflake to have achieved FedRAMP High authorization on the AWS GovCloud (US-West and US-East Regions) . This authorization, from the Federal Risk and Authorization Management Program (FedRAMP), is one of the most rigorous security endorsements a cloud service provider (CSP) can achieve.

Too many legacy systems. It’s something we hear from government agencies all the time. And you’ve heard this complaint too, no doubt. But the risk-averse nature of government organizations combined with a fear of disruption makes them reluctant to take on a wholesale modernization effort. What if they don’t have to, though? What if there’s a better way?