Category: Artificial Intelligence

A research team led by Dr. Beatriz Martinez Lopez at UC Davis supports pig farmers with a data analytics platform that aggregates and analyzes animal health data to diagnose animal viruses and diseases. But this platform was primarily designed for analysts and data scientists. To truly transform animal disease management, Martinez-Lopez wants to put this data analytics tool into the hands of farmers around the world. So the research team is using the scalable, cost-effective tools of the AWS Cloud, along with a research grant letter of support from AWS, to make this optimized platform a reality.

Skillshare is the largest global online learning community for creativity. They offer thousands of inspiring classes for creative and curious people on topics including illustration, design, photography, video, freelancing, and more. Skillshare wanted their members to easily discover relevant content with a seamless discovery process of personalized recommendations. Skillshare decided to test Amazon Personalize from AWS to make these data-fueled recommendations for members with machine learning. This blog post describes their Amazon Personalize solution architecture, their AWS Step Functions process, and the results of their experiment.

The extensive higher education landscape in India poses many challenges, like the rising complexity of administrative and academic activities, increase in student enrollment from a tech-savvy generation, data security issues, and more. The education technology (EdTech) company CollPoll is a full-stack web- and mobile-based campus automation, digital learning, and analytics platform designed to address these challenges with artificial intelligence powered by Amazon Web Services (AWS). CollPoll uses the cloud to provide end-to-end automation of key academic and administrative processes to bring digital transformation solutions to educational institutions in India and around the world.

Electronic notifications of patient events are a vital mechanism for care providers to improve care coordination and promote appropriate follow-up care in a timely manner. This post shows how a combination of Amazon Web Services (AWS) technologies, like AWS Lambda, Amazon Comprehend Medical, and AWS Fargate, can effectively manage and deliver actionable data to help healthcare customers deliver electronic notifications in a secure and efficient way.

The Bali State Government’s Communication, Information, and Statistics Agency of Bali (Diskominfos) worked with AWS to develop Bali One Data – a hub for the preparation of quality, accessible, integrated, and shareable data between government agencies at the provincial, regency, and city levels across the entire island of Bali. During the COVID-19 pandemic, the Bali One Data app, powered by the cloud, has become a critical resource to help the government manage unforeseen circumstances and save lives.

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.

During the 10th anniversary of re:Invent, I was thrilled to share announcements and achievements from AWS Partners and programs for the public sector around the world. Since its launch, AWS’s Public Sector Partner Program participation has increased by an average of 54% year over year, with partners providing solutions in mission areas across healthcare, space, energy, transportation, government, education, and nonprofit. In both the Global Partners Summit keynote at re:Invent 2021, as well as in my public sector leadership session, I highlighted the new and upcoming AWS Partner solutions and accomplishments.

NHS Digital launched NHS login, a serverless identity platform to facilitate access to a range of health and care apps for residents in England, with AWS, amongst other suppliers. Using the AWS Cloud, NHS Digital achieves scale, high availability, and security for citizens accessing these services, and helps users access NHS services quicker and more simply. NHS login is one of a number of services NHS Digital are hosting on the cloud as part of the UK government’s ‘Cloud First’ policy.

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 second annual AWS DeepRacer Army-Navy Competition brings teams together to train a robotic vehicle to discover whose car can autonomously navigate a track with the fastest time, using artificial intelligence (AI) and robotics. The competition is for anyone affiliated with the Army or Navy, no matter their experience with AI, machine learning, or robotics. Novices can get started with machine learning quickly with hands-on tutorials. The second annual competition will happen on December 11 2021, prior to the Army-Navy football game. Registration is now open.