Tag: Machine Learning

United Arab Emirates-based global EdTech Alef Education is on a mission to digitally transform the education sector to support its most valuable resource: teachers. The United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics estimates that the world needs almost 69 million new teachers by 2030 to meet the deadline of the United Nations Sustainable Development Goal for quality education. But according to latest projections, the world will fail its education commitments without addressing the teacher shortage.

Welcome to 2020! In 2019, the AWS Public Sector Blog featured stories from the education, nonprofit, government, and healthcare sectors, showcasing topics from customer-centric healthcare to cloud degree announcements to technical how-tos. As we look back on 2019, let’s recap our top ten posts of the year.

As we embark on a new year, take a look at some stories of our customers and how they are building a better world, in hope they will inspire you to be driven by purpose, passion, and a mission focus.

The age of artificial intelligence (AI) and machine learning (ML) has arrived. Researchers and software providers are launching new solutions using AI and ML to solve business problems and differentiate in their market segments. In higher education, institutions try to stand out by using technology – particularly AI and ML – to improve the daily lives and experiences of students and faculty, managing issues from facility management to student success to fraud detection. Learn how AWS Education Competency Partners are helping with AI & ML.

Machine learning (ML) isn’t just for the technology industry. Today, machine learning influences research and consumer products and is leading to breakthroughs across industries like healthcare, manufacturing, finance, and retail. In the field of reinforcement learning, machine learning meets the real world when applied to robotics. Knowing this, how can we ensure students are skilled and prepared to leverage the power of this technology?

Data is an organization’s most valuable asset, and the volume and variety of data that organizations amass is always growing. Simpler data analytics, cheaper data storage, advanced predictive tools like machine learning (ML) and data visualization are necessary to make data-driven decisions and maximize the value of data. The new Data Lifecycle and Analytics in […]

Machine learning (ML) is one of the fastest growing areas in technology. AWS DeepRacer helps anyone get started with ML through autonomous driving. Tyler Technologies, an Amazon Web Services (AWS) Partner Network (APN) partner held a DeepRacer event at their annual internal conference, Tyler Mesh, in September in Indianapolis, Indiana, to help their organization learn about ML and ML on AWS.

From healthcare to veteran services to aerospace research, federal agencies have leveraged the cloud to advance their missions. With benefits from the cloud, such as cost savings, data redundancy, and opportunities to adopt emerging technology, federal customers can better serve and protect their constituents. Three federal agencies recently shared how they improved efficiency through information technology (IT) modernization to ultimately better serve citizens.

At the Amazon Web Services (AWS) Public Sector Summit in Washington, DC, AWS employees shared and demonstrated our newest homegrown AWS innovations in the AWS Builders Fair. These demos featured real-world use cases for government, education, and nonprofits. Using artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), natural language processing, and robotics, the demos show how technology can help address issues from recycling to translation to safe transportation. Check out the top six Builders Fair demos, now on our YouTube channel.

Amazon Web Services (AWS) and the Disruptive Innovators Network (DIN) hosted the first competitive social housing hackathon this past May in London. Four UK housing associations – including Great Places, Places for People and Metropolitan Thames Valley – were teamed with members of the AWS Partner Network (APN), and had 36 hours to analyse one of four housing problems and hack a solution.