Tag: Amazon Transcribe

Machine learning (ML) and artificial intelligence (AI) are transformative technologies, enabling organizations of all sizes to further their mission in ways not previously possible. But, it is critical to think responsibly about these technologies so that all users are treated fairly, data is appropriately protected, and individuals can make informed choices about consent. In this post, we discuss responsible AI and how you should think about your workloads. This approach will help ensure your AI systems are fair, transparent, and secure.

As a teacher with the KIPP charter school network in Houston, Texas, Dave Wakefield knew there had to be a better way for educators to gain insightful feedback on their instruction. Traditionally, educators who wanted feedback on their teaching either had to have someone visit their classroom or film themselves and then send that video to a mentor or peer for review. In 2013, Wakefield founded education technology (EdTech) company Sibme as a way to use technology, powered by Amazon Web Services (AWS), to help educators access quicker and more reliable feedback.

The Amazon Web Services (AWS) commitment to safe, transparent, and responsible artificial intelligence (AI)—including generative AI—is reflected in our endorsement of the White House Voluntary AI Commitments, our participation in the UK AI Safety Summit, and our dedication to providing customers with features that address specific challenges in this space. In this post, we explore how AWS can help agencies address the governance requirements outlined in the Office of Management and Budget (OMB) memo M-2410 as public sector entities look to build internal capacity for AI.

The International University of Applied Sciences (IU) maintains 90 percent of its course content online. Through its online programs, IU aims to give people worldwide access to highly individualized education, enabling them to further enrich their lives. The large majority of IU’s infrastructure runs on Amazon Web Services (AWS). Read this post to learn why IU worked directly with AWS experts through the Experience-Based Acceleration (EBA) program to expand their automated video generation pipelines to be more scalable, modular, and robust.

One of the biggest constraints in providing equitable access to care is the language barrier between providers and the patients they serve. For Medicaid agency call centers, there aren’t enough agents to support communication in all the languages requested by a state government. Some states want to support nearly 20 languages in the call center […]

After migrating to the cloud, USAID knew it could streamline its transcription process of its leader’s public remarks with cloud technology. Read this blog to learn how USAID created a solution with Amazon Transcribe, an artificial intelligence (AI)-powered service from Amazon Web Services (AWS), in collaboration with AWS Partner CloudShape that helps the agency transcribe and publish remarks in minutes.

Nonprofit organizations are increasingly using videos to fundraise, raise awareness, and attract new members or donors. But storing large quantities of video has traditionally meant purchasing and maintaining expensive hardware, while cataloging large video collections can be a time-consuming task. The Media2Cloud on AWS solution in the AWS Solutions Library can help nonprofit organizations store, catalog, and search their video libraries in a way that is cost-effective, and that scales to meet any need. In this blog post, learn how Media2Cloud works and how your organization can use it to support your video program.

To gain operational efficiencies and reduce workload burdens on employees, some state finance and tax agencies are leveraging robotic process automation (RPA) on AWS. RPA is a software tool that integrates with almost any system or application and performs manual, repetitive, time-consuming tasks. Tax agencies can use AI and ML to support the sheer size and scale of data they manage and to access and analyze all types of data with ease, including voice, video, and streaming data. Find out three ways AI and ML are creating measurable outcomes for tax agencies.

The Uniformed Services University Health System (USUHS) is the nation’s federal health professions academy, offering a curriculum and educational experience that emphasizes military healthcare, leadership, readiness, and public health. Each year, USUHS holds a training exercise called Operation Gunpowder to help prepare third-year medical students for varying field-care challenges they may encounter during their service. Over the course of the eight weeks prior to the training exercise, AWS collaborated with Deloitte to deliver ancillary system and operational medicine telemedicine best practice training to the participating students. “This is the first time telemed has truly delivered,” reported attending experts in special operations medicine.

This fall, artist Suchi Reddy and Amazon Web Services (AWS), in collaboration with the Smithsonian FUTURES Exhibition, debuted me+you in Washington, DC, which embodies the collective answers to the question, “What do you want your future to look like?” me+you is an interactive work of art powered by artificial intelligence (AI) and machine learning (ML) and is the centerpiece of the Smithsonian FUTURES exhibition.