RStudio on Amazon SageMaker is the industry's first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. In conjunction with tools like RStudio on SageMaker, users are analyzing, transforming, and preparing large amounts of data as part of the data science and ML workflow. Data scientists and data engineers use Apache Spark, Hive, and Presto running on Amazon EMR for large-scale data processing. Using RStudio on SageMaker and Amazon EMR together, you can continue to use the RStudio IDE for analysis and development, while using Amazon EMR managed clusters for larger data processing.

A headline in this publication read "Apple's Delhi store is significantly smaller than Mumbai outlet". Many men from Delhi took to the internet challenging their counterparts in Mumbai to show the size of their outlets. Mercifully, the new IT law proposed by the government should help to prevent the spread of any fake news in this regard. Apple will pay a rent of around Rs 40 lakh a month for its second retail store in Delhi. Landlords in Bengaluru have used this as an excuse to hike their rents further.

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We are truly at an exciting inflection point in the widespread adoption of ML, and we believe most customer experiences and applications will be reinvented with generative AI. AI and ML have been a focus for Amazon for over 20 years, and many of the capabilities customers use with Amazon are driven by ML. Our e-commerce recommendations engine is driven by ML; the paths that optimize robotic picking routes in our fulfillment centers are driven by ML; and our supply chain, forecasting, and capacity planning are informed by ML. Prime Air (our drones) and the computer vision technology in Amazon Go (our physical retail experience that lets consumers select items off a shelf and leave the store without having to formally check out) use deep learning.

In the following sections, we discuss some of the ways that the Accenture Velocity team has been using CodeWhisperer in more detail. CodeWhisperer helps developers unfamiliar with AWS to ramp up faster on projects that use AWS services. New developers in Accenture were able to write code for AWS services such as Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB. In a short amount of time, they were able to be productive and contribute to the project. CodeWhisperer assisted developers by providing code blocks or line-by-line suggestions.

At first glance, this warehouse looks like many: Forklifts unload pallets from the back of dozens of tractor-trailers. Store-bound merchandise gets sorted by department and store aisle before getting stacked high like an elaborate game of Tetris. Tasks are powered by giant automated claws and rolling robots, instead of people. The driver's seats on the forklifts are empty. Welcome to the future of Walmart.

Developing web interfaces to interact with a machine learning (ML) model is a tedious task. With Streamlit, developing demo applications for your ML solution is easy. Streamlit is an open-source Python library that makes it easy to create and share web apps for ML and data science. As a data scientist, you may want to showcase your findings for a dataset, or deploy a trained model. Streamlit applications are useful for presenting progress on a project to your team, gaining and sharing insights to your managers, and even getting feedback from customers.

Amazon SageMaker Studio can help you build, train, debug, deploy, and monitor your models and manage your machine learning (ML) workflows. Amazon SageMaker Pipelines enables you to build a secure, scalable, and flexible MLOps platform within Studio. In this post, we explain how to run PySpark processing jobs within a pipeline. This enables anyone that wants to train a model using Pipelines to also preprocess training data, postprocess inference data, or evaluate models using PySpark. This capability is especially relevant when you need to process large-scale data.

AutoRevo, a leading automotive industry software provider, announces the launch of its groundbreaking AI Vehicle Description Builder, an innovative solution that addresses the challenges dealerships face in creating engaging, accurate, and consistent vehicle descriptions for their online inventory. With the AI Vehicle Description Builder, AutoRevo is set to revolutionize the way dealerships present their vehicles on digital platforms. The automotive industry has long struggled with the time-consuming and resource-intensive task of generating effective vehicle descriptions. Realizing that many dealerships either lack the resources for crafting detailed descriptions or struggle to maintain consistency, AutoRevo developed a cutting-edge AI tool designed to streamline the process and enhance online vehicle listings. The AI Vehicle Description Builder works in conjunction with inventory companies to produce high-quality, accurate, and engaging descriptions.

Kering, the world's second-largest luxury goods group after LVMH, has launched an experimental site called KNXT, which is a cutting-edge fashion space for curating innovative content and testing new ideas. The site incorporates both artificial intelligence (AI) and NFT tech, and is aimed at providing a unique shopping experience to visitors. One of the exciting features of KNXT is the introduction of an AI-powered chatbot named '/madeline', which is powered by OpenAI's ChatGPT, and is the first of its kind. This personal shopper is capable of recommending products from a variety of the group's brands, including Gucci, Bottega Venetia, Alexander McQueen, Balenciaga, and more. We are thrilled to introduce you to /madeline, the first AI personal shopper leveraging @OpenAI's #ChatGPT.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.