Tag: AI for Good
Leveraging skills and generative AI to create technology innovation: Insights from AWS executive John Davies
In the third episode of the AWS Behind the Cloud series, John Davies, director of Latin America, Canada, and the Caribbean (LCC) sales for Amazon Web Services (AWS) worldwide public sector (WWPS), speaks on the importance of building skills to deliver results; scaling teams and programs geographically to serve the greater good; and leveraging generative AI responsibly to create more meaningful impact for business, government, and society.
In the second episode of the AWS Behind the Cloud series, Dominic Delmolino, vice president of field technology and engineering for AWS worldwide public sector (WWPS) speaks on the big opportunities for generative AI, the importance of customer obsession in building long-term solutions for the public sector, and why it’s important, above all else, to make sure technology is used for good.
Nonprofit leaders today have various technical products and solutions to consider. The addition of “smart technology” to your nonprofit’s technology conversations may seem intimidating or even unfamiliar to the human-centered work that your organization does. But smart technology can help make your nonprofit’s work more human – automating burdensome tasks for your teams and directing their creativity and bandwidth to what really matters: your mission. Learn how nonprofits can use AWS to develop smart tech to innovate for their communities.
This year, AWS is a gold sponsor of AI for Good, the action-oriented technology-education platform hosted by the United Nations (UN). The organization is delivering a webinar series to provide best practices around how to adopt AI and ML technologies. With less than 10 years remaining to achieve the 17 United Nations’ Sustainable Development Goals (SDGs) by 2030, organizations all over the world are using AWS services to deliver various AI and ML-enabled solutions—from delivering disaster-relief services at the edge to reconnecting telecommunications after a hurricane. We are also helping organizations adopt AI and ML technologies more readily in the areas of computer vision, automatic speech recognition, and natural language process to solve ongoing global challenges.