Tag: Natural Language Processing

The cloud is changing the way we do research—accelerating the pace of innovation, democratizing access to data, and allowing researchers and scientists to scale, work collaboratively, and make new discoveries from which we may all benefit. Researchers from around the world look to the AWS Cloud for customer-focused, pioneering, and secure solutions for their toughest challenges. Discover how customers in Latin America and Canada use AWS for research.

At The Guide Dogs for the Blind Association (Guide Dogs), we provide a variety of services and support to anyone affected by sight loss, their friends, and their family. Our mission is to give them access to information and support to make a positive impact on their well-being, self-confidence, self-esteem and ability to function with loss of sight. Voice assistants powered by AWS allow our organization to support our communities and enrich their quality of life.

Since 2003, the US federal government has made approximately $1.7 trillion in improper payments, with an estimated $206 billion made in FY 2020 alone. Improper payments are now anticipated to increase proportionally to new levels of federal spending. How can agencies fight improper payments at this scale? And what tools can agencies use to address fraud, erroneous data submission and other causes of this problem? Agencies can use AWS to solve the multi-sided issues of payment integrity.

The AWS Cloud Credit for Research Program launched a new opportunity for Amazon Scholars and Amazon Visiting Academics to apply for AWS Promotional Credit to accelerate innovation through cloud technology. Amazon Scholars are world-class academics and Amazon Visiting Academics are pre- to newly-tenured academics, selected to tackle real-world technical challenges as they continue to teach and conduct research at their universities. AWS Promotional Credit is offered through this initiative is to support the awardees’ impactful university research that’s distinct from their work at Amazon.

Public sector organizations want to innovate the way they engage their communities to make information easier to access, improve user experience, expand their reach by supporting multiple communication channels, and improve efficiency and scalability through intelligent automation. Conversational artificial intelligence (AI) and chatbots can be used to transform the customer experience, enhance engagement, improve services, and help scale more simply.

It’s time consuming for public sector organizations to sort through packed voicemail inboxes, figure out how to respond, return calls, and take detailed records on each call. So AWS developed a scalable call center solution that allows organizations to streamline the entire call process – from call intake, to generating actionable insights for response with artificial intelligence, to detailed recordkeeping and storage. This blog post guides you through how to create this task-generating cloud call center solution with Amazon Connect.

Nonprofits and cultural institutions need support to serve and deliver impact to our local and global communities. Amazon’s Raise-up Buildathon, presented by AWS, empowered developers, technology enthusiasts, and advocates to build cloud solutions that enhance digital capabilities to help with fundraising, content delivery, and mission delivery. The majority of the winning solutions are available to nonprofits and cultural institutions via open source. Learn more about what these solutions can do, from donor management to augmented reality, to improving how you reach out to constituents to expand your donation stream.

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.

Cancer Commons is a nonprofit network of patients, physicians, and scientists dedicated to helping patients identify and access the best personalized treatment options. Erika Vial Monteverdi, executive director of Cancer Commons, describes how the AWS compute infrastructure, combined with services like Amazon Comprehend Medical, enable physicians and patients to leverage the collective knowledge of the world’s top institutions. 

From accelerating genomics research to addressing the teacher shortage to improving commutes, artificial intelligence (AI) and machine learning (ML) are fueling digital transformation in the government, education, nonprofit, and healthcare sectors. Austin Tanney, head of AI at Kainos, shared his ML learnings and where he sees the technology going.