Amazon's AWS, the largest cloud computing company globally, is urging the public sector to embrace artificial intelligence (AI). As competition with Microsoft and Google intensifies, AWS believes AI can significantly improve public services such as health, security, and nonprofit work.
Convincing governments and nonprofits to adopt AI is more challenging than persuading private companies. To help, AWS has launched a $50 million, two-year fund to let public sector organizations test AI ideas.
The public sector is already a crucial market for cloud computing. AWS supports 7,500 government agencies, 14,000 academic institutions, and 85,000 nonprofits in 215 countries. The new initiative will offer these groups cloud computing credits, training, and technical support for AI projects.
Dave Levy, AWS's vice president for the global public sector, said there are many promising AI ideas and use cases, but implementing them requires support. He emphasized this ahead of an AWS summit in Washington aimed at the public sector.
As Microsoft and Google also aim to attract public sector clients, the competition heats up. Generative AI, like the technology behind ChatGPT, can create high-quality content from large data sets, which the public sector has in abundance.
AWS's Bedrock platform offers clients access to various AI models, such as Anthropic's Claude, for custom AI tools and applications. Levy believes AI's benefits will outweigh the challenges, citing examples like Boston's Dana-Farber Cancer Institute using AI to interpret lab results and Britain's Swindon Borough Council using AI to simplify leasing agreements.
Currently, generative AI depends on cloud computing. The industry bets that as public agencies see AI's potential, it will drive growth and cloud adoption.
AWS's initiative aims to make it easier for public organizations to experiment with AI, addressing concerns about the technology's unpredictability. Although AI is expected to revolutionize computing, it has had its share of issues, which can make government clients cautious.
Ryan Cox from Synechron highlights that AI can streamline tasks, improve services, and save costs in the public sector. However, challenges include data privacy, ethical issues, integrating with existing systems, and maintaining public trust. The high long-term costs of AI, due to its large-scale computing needs, are also a concern.
AWS differentiates itself by prioritizing security and ensuring AI readiness for deployment.