Tag: AI/ML

On February 22, 2024, Amazon Web Services (AWS) hosted its first Federal Financial Services Artificial Intelligence (AI) Forum at Amazon HQ2 in Arlington, Virginia, convening leaders from the public sector and financial services industry. Read this blog post for a recap of the event, which covered the tremendous opportunities and challenges around AI with experts across public and private sector organizations.

Amazon Web Services (AWS) is launching its first Education Accelerator, giving EdTech founders the support and mentorship they need to bring innovative solutions to market by leveraging the power of data, analytics, AI/ML and the cloud.

Artificial intelligence (AI) and machine learning (ML) technologies are transforming many industries. But although public sector organizations are realizing the benefits of these technologies, there are many remaining challenges, including biases and a lack of transparency, that limit the wider adoption to unlock the full potential of AI and ML. In this post, learn a high-level framework for how AWS can help you address these challenges and provide better outcomes for constituents.

As investments and adoption of artificial intelligence (AI) and machine learning (ML) continue to rise, there is tremendous potential for improved citizen experiences in the public sector. As government, education, and nonprofit organizations seek solutions for their challenges, AWS Partners are at the forefront of helping to solve those problems using AI and ML. Discover four AWS Partners using AI/ML to better society and improve lives.

Diabetes is a major chronic disease that often results in hospital readmissions due to multiple factors. An estimated $25 billion is spent on preventable hospital readmissions that result from medical errors and complications, poor discharge procedures, and lack of integrated follow-up care. If hospitals can predict diabetic patient readmission, medical practitioners can provide additional and personalized care to their patients to pre-empt this possible readmission, thus possibly saving cost, time, and human life. In this blog post, learn how to use machine learning (ML) from AWS to create a solution that can predict hospital readmission – in this case, of diabetic patients – based on multiple data inputs.

There is no one-size-fits-all profile of the ideal artificial intelligence (AI) and machine learning (ML) customer, user, or developer. AWS is making AI and ML technologies more accessible with managed services that let anyone embed intelligence into their applications. It is why some of the most exciting uses for AI and ML are coming from unexpected places – public sector organizations with a mission to make the world a better place. Learn from some of the many public sector customers re-defining what it means to use AI to solve big challenges.