Favorite Creating efficiencies in your business is at the top of your list. You want your employees to be more productive, have them focus on high impact tasks, or find ways to implement better processes to improve the outcomes to your customers. There are various ways to solve this problem,

Read More
Shared by AWS Machine Learning December 2, 2021

Favorite Today, we’re excited to announce the launch of personalized recommenders in Amazon Personalize that are optimized for retail and media and entertainment, making it even easier to personalize your websites, apps, and marketing campaigns. With this launch, we have drawn on Amazon’s rich experience creating unique personalized user experiences

Read More
Shared by AWS Machine Learning November 29, 2021

Favorite Today, we’re excited to announce intelligent user segmentation powered by machine learning (ML) in Amazon Personalize, a new way to deliver personalized experiences to your users and run more effective campaigns through your marketing channels. Traditionally, user segmentation depends on demographic or psychographic information to sort users into predefined

Read More
Shared by AWS Machine Learning November 29, 2021

Favorite This post was co-written with Kevin O’Brien, Senior Data Scientist in Careem’s Integrity Team. Dubai-based Careem became the Middle East’s first unicorn when it was acquired by Uber for $3.1 billion in 2019. A pioneer of the region’s ride-hailing economy, Careem is now expanding its services to include mass

Read More
Shared by AWS Machine Learning November 24, 2021

Favorite This is a guest post by Lucas Baker, Andrea Duque, and Viet Yen Nguyen of Hypefactors.   At Hypefactors, we build tech for media intelligence and reputation management. The solution is a software as a service (SaaS) product that does large-scale media monitoring of social media, news sites, TV, radio,

Read More
Shared by AWS Machine Learning November 24, 2021

Favorite Machine learning operations (MLOps) are key to effectively transition from an experimentation phase to production. The practice provides you the ability to create a repeatable mechanism to build, train, deploy, and manage machine learning models. To quickly adopt MLOps, you often require capabilities that use your existing toolsets and

Read More
Shared by AWS Machine Learning November 24, 2021

Favorite Amazon Redshift, a fast, fully managed, widely used cloud data warehouse, natively integrates with Amazon SageMaker for machine learning (ML). Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Data analysts and database developers want to use this

Read More
Shared by AWS Machine Learning November 23, 2021

Favorite We’re excited to announce a new forecasting API for Amazon Forecast that generates up to 40% more accurate forecasts and helps you understand which factors, such as price, holidays, weather, or item category, are most influencing your forecasts. Forecast uses machine learning (ML) to generate more accurate demand forecasts,

Read More
Shared by AWS Machine Learning November 20, 2021

Favorite We’re excited to launch explainability impact scores in Amazon Forecast, which help you understand the factors that impact your forecasts for specific items and time durations of interest. Forecast is a managed service for developers that uses machine learning (ML) to generate more accurate demand forecasts, without requiring any

Read More
Shared by AWS Machine Learning November 20, 2021

Favorite The AWS AI/ML Community has compiled a series of session guides to AWS re:Invent 2021 to help you get the most out of re:Invent this year. They covered four distinct categories relevant to AI/ML. With a number of our guide authors attending re:Invent virtually, you will find a balance

Read More
Shared by AWS Machine Learning November 20, 2021