AWS Machine Learning

AUGUST 15, 2022

An IDP pipeline with AWS AI services empowers you to go beyond OCR with more accurate and versatile information extraction, process documents faster, save money, and shift resources to higher value tasks. In this two-part series, we discuss how you can automate and intelligently process documents at scale using AWS AI services.

Banking 74

Banking APIs Accountability Analytics 74

AWS Machine Learning

APRIL 7, 2023

To reduce the barrier to entry of ML at the edge, we wanted to demonstrate an example of deploying a pre-trained model from Amazon SageMaker to AWS Wavelength , all in less than 100 lines of code. As our sample workload, we deploy a pre-trained model from Amazon SageMaker JumpStart. The following diagram illustrates this architecture.

Telecommunications 80

Telecommunications Scripts Enterprise Engineering 80

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Fine-tune the pre-trained model on a new custom dataset.

Scripts 72

Scripts Metrics APIs Healthcare 72

AWS Machine Learning

JULY 29, 2022

The data scientists in this team use Amazon SageMaker to build and train a credit risk prediction model using the shared credit risk data product from the consumer banking LoB. It’s easy to get started with Amazon SageMaker Studio , a web-based integrated development environment (IDE), by completing the SageMaker domain onboarding process.

Scripts 71

Scripts Analytics Accountability Engineering 71

VirtualPBX

AUGUST 20, 2020

They may provide services (like a SaaS company) or sell goods without a storefront (think Amazon). For sales and troubleshooting requests, you can easily offer them web chat, and you probably already do. Then as a result of those improvements, your sales and customer service will become more streamlined and easier to manage.

Chatbots 104

Chatbots APIs voip Enterprise 104

AWS Machine Learning

NOVEMBER 16, 2022

In this post, we discuss some of the newer cross-account features to Amazon SageMaker that allow you to better share and manage model groups as well as manage model versions. The model and container registry are centralized in a shared services account. At AWS, we’re continuing to innovate to simplify the MLOps workflow.

Accountability 82

Accountability Best practices Scripts Engineering 82

AWS Machine Learning

MARCH 15, 2024

Additionally, in competitive markets, businesses adhering solely to manual processes might find it challenging to deliver efficient and competitive service. In this post, we show you how to build a speech-capable order processing agent using Amazon Lex, Amazon Bedrock, and AWS Lambda.

APIs 121

APIs Engineering Technology CRM 121

AWS Machine Learning

APRIL 23, 2024

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode and Docker support. The domain’s role must also allow Amazon ECR access. ipynb notebook in blog/pytorch_cnn_cifar10. Open the pytorch_local_mode_cifar10.ipynb

Scripts 93

Scripts APIs Engineering Feedback 93

Nicereply

JUNE 2, 2022

Established companies like Apple and Amazon have their own dedicated customer service center to cater to customers’ problems. However, if you’re just starting, social media can provide everything you need for customer service. Here are six tips you can follow for a stellar social media customer service.

Customer Service 97

Customer Service Chatbots Customer Support Accountability 97

Kayako

FEBRUARY 14, 2018

Amazon Prime. If you’ve been on the internet long enough to read the beginning of this post, you know about Amazon Prime. You might not consider Prime membership to be a loyalty program, but think about it this way—Amazon Prime members make up the most active and loyal Amazon customers. Keep rewards reasonable.

Customer retention 72

Customer retention Marketing Surveys Best practices 72

JivoChat

MARCH 30, 2022

You can have an online portfolio, blog, ecommerce, and many other page types. . You can sell in different marketplaces and social media platforms too, such as Amazon, eBay, and Instagram, and manage everything at Shopify with an inventory that is synced to all the channels. Key features: Drag-and-drop store builder. Shopify apps.

Engineering 75

Engineering Analytics Construction Marketing 75

Nicereply

OCTOBER 14, 2019

More accessible service makes the world more approachable for everyone – not just those with disabilities. From visual impairment, hearing impairment to movement disabilities, a large number of your users may have trouble accessing your services as you expect. 5 Tips for Making Your Service More Accessible.

Customer Support 70

Customer Support Airlines Government Interactive Voice Response 70

JivoChat

APRIL 16, 2023

Ecommerce, or electronic commerce, is the buying and selling of goods and services through an online platform. It includes product selection, payment processing, fulfillment, and customer service. Know what kind of products or services you are offering and in what ways you can reach customers. Aliexpress. trillion U.S.

Analytics 82

Analytics Engineering Advertising Sales 82

AWS Machine Learning

NOVEMBER 22, 2023

Use the “Generative AI” tag as you are browsing the session catalog to find them. First, we’ll have a few foundational sessions related to various aspects of Amazon Bedrock —a fully managed generative AI service we launched earlier this year. The technical sessions in our track are divided into five areas.

Engineering 111

Engineering Best practices APIs Government 111

AWS Machine Learning

SEPTEMBER 29, 2022

Amazon SageMaker is a fully managed ML platform in the cloud that equips our enterprise customers with tools and resources to establish cost allocation measures and improve visibility into detailed cost and usage by your teams, business units, products, and more. Cost allocation tagging. Tagging in SageMaker.

Enterprise 71

Enterprise APIs Government Accountability 71

AWS Machine Learning

MAY 23, 2023

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Create a Confluence data source V2 via the Amazon Kendra console.

APIs 82

APIs Accountability Enterprise Personalization 82

AWS Machine Learning

NOVEMBER 14, 2022

Today, we are launching Amazon SageMaker inference on AWS Graviton to enable you to take advantage of the price, performance, and efficiency benefits that come from Graviton chips. Graviton 3 also uses up to 60% less energy for the same performance as comparable Amazon Elastic Compute Cloud (Amazon EC2) instances. architecture.

Scripts 82

Scripts APIs Best practices Engineering 82

AWS Machine Learning

NOVEMBER 17, 2022

Organizations are using machine learning (ML) and AI services to enhance customer experience, reduce operational cost, and unlock new possibilities to improve business outcomes. Amazon SageMaker is a fully managed ML service that enables you to build, train, and deploy models at scale for a wide range of use cases. Choose Next.

Engineering 64

Engineering Big data Accountability Analytics 64

AWS Machine Learning

AUGUST 26, 2022

In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart , a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). Solutions are end-to-end ML applications that string together various AWS services to solve a particular business use case.

APIs 78

APIs Scripts Enterprise Big data 78

AWS Machine Learning

JUNE 27, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can discover and deploy publicly available and proprietary foundation models to dedicated Amazon SageMaker instances for your generative AI applications.

Enterprise 66

Enterprise APIs Scripts Chatbots 66

AWS Machine Learning

OCTOBER 17, 2023

At Amazon Web Services (AWS) , not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen on deeply understanding our customers’ business processes. Then, we used Amazon EventBridge to set scheduled tasks for the SageMaker Batch Processing.

Technology 97

Technology Biotechnology Engineering Consulting 97

AWS Machine Learning

JULY 29, 2022

Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. An Amazon SageMaker domain supports AWS SSO and can be configured in AWS SSO authentication mode. For this post, we use AWS SSO. Custom SAML 2.0

Management 73

Management APIs Accountability Construction 73

JivoChat

MAY 10, 2022

You will find a huge variety of layouts for different website types, for instance, for creating landing pages, portfolios, blogs, and online stores. . You also have the option to list and sell your products on different sales channels, like Facebook, Instagram, Amazon, and eBay, and manage everything in a single Wix dashboard.

Real estate 75

Real estate Engineering Analytics Advertising 75