AWS Machine Learning

AWS is excited to announce the general availability of Amazon SageMaker integration in QuickSight. You can now integrate your own Amazon SageMaker ML models with QuickSight to analyze the augmented data and use it […]

Veeva Systems is a provider of cloud-based software for the global life sciences industry, which offers products that serve multiple domains ranging from clinical, regulatory, quality, and more. Veeva’s Vault P […]

As the world responds to the ongoing pandemic, it’s more important than ever to accurately access, consume, and analyze information related to COVID-19. Topics about the healthcare crisis permeate many d […]

Tens of thousands of customers rely on AWS for building machine learning (ML) applications. Customers like Airbnb and Pinterest use AWS to optimize their search recommendations, Lyft and Toyota Research Institute […]

As the touchpoints customers use to engage with brands move to an increasingly complex mixture of digital and real-life interactions, you’re faced with the daunting task of delighting your customers with p […]

Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. Unlike general-purpose […]

For new home buyers, a common challenge is to understand how to manage their lawn needs effectively. Now imagine if you’re a farmer and have to do this for many acres of land. As a farmer, some of the challenges y […]

This is a guest blog post by Sungoh Park, a big data analyst at Lotte Mart. In their own words, “Lotte Mart, a division of Lotte Co., Ltd., is a leading South Korean retailer that sells a variety of groceries, c […]

The healthcare industry is a highly regulated and complex industry where a great deal of information exchange occurs via verbal communication. This audio data can contain valuable information and actionable […]

Amazon Web Services (AWS) is happy to announce the general availability of Notebooks within Amazon SageMaker Studio. Amazon SageMaker Studio supports on-the-fly selection of machine learning (ML) instance types, […]

Machine learning (ML) is one of the fastest growing areas in technology and a highly sought-after skill set in today’s job market. The growth of artificial intelligence is expected to create 58 million net new j […]

Many industries, including retail, manufacturing, and healthcare, are adopting IoT-enabled devices and using AI or machine learning (ML) technologies to enable such devices to make human-like decisions without […]

Machine Learning (ML) impacts industries around the globe, from financial services industry (FSI) and manufacturing  to autonomous vehicles and space exploration. ML is no longer just an aspirational technology […]

As technology is advancing, your business is collecting more and more data from different sources. After collecting so many data points, it is often challenging to find the right insights to help your business […]

AWS is excited to announce the general availability of Amazon Augmented AI (Amazon A2I), a new service that makes it easy to implement human reviews of machine learning (ML) predictions at scale. Amazon A2I […]

Battlesnake is an AI competition in which you build AI-powered snakes. Battlesnake’s rules are similar to the traditional snakes game. Your goal is to be the last surviving snake when competing against other s […]

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. Tens of thousands of customers, […]

Many services you interact with today rely on machine learning (ML). From online search and product recommendations to speech recognition and language translation, these services need ML models to serve […]

AWS allows you to deploy websites and applications globally in minutes. This means that both large enterprises and individual developers can reach users, and thus potential customers, all over the world. However, […]

We often have questions when making a choice about a product or service. When was the last time you found yourself at the IT help desk at work? You probably had questions like “What time does the IT Help Desk o […]