AWS Machine Learning

SEPTEMBER 27, 2023

MDaudit provides a cloud-based billing compliance and revenue integrity software as a service (SaaS) platform to more than 70,000 healthcare providers and 1,500 healthcare facilities, ensuring healthcare customers maintain regulatory compliance and retain revenue. This prompts an AWS Lambda function to initiate Amazon Textract.

Healthcare 101

Healthcare Innovation Customers Financial 101

kommunicate

APRIL 26, 2023

Last Updated on April 27, 2023 In today’s digital age, chatbots have become an integral part of customer service. With the rise of social media platforms like Facebook, integrating chatbots with these platforms has become crucial for businesses to provide efficient customer support.

Chatbots 93

Chatbots Social Media Customer Service Customers 93

AWS Machine Learning

MARCH 1, 2024

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. With Amazon Lex bots, you can use conversational AI capabilities to enable these capabilities within your call center.

Chatbots 96

Chatbots Self Service Omni-Channel Contact Center 96

AWS Machine Learning

NOVEMBER 21, 2023

In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS). Collaboration : MATLAB and SageMaker together provide a robust platform that t teams can use to collaborate effectively on building, testing, and deploying machine learning models.

Training 89

Training Resources Data How To 89

Lumoa

OCTOBER 7, 2021

Essentially, they are the aspects of an experience that allow companies to go beyond simply digitizing processes to create services that use the full potential of online channels or other modern technologies. However, technology on its own doesn’t make something a digital experience.

Feedback 208

Feedback Social Media Omni-Channel Customer Experience 208

AWS Machine Learning

MAY 23, 2023

Original content production, code generation, customer service enhancement, and document summarization are typical use cases of generative AI. Amazon SageMaker JumpStart provides pre-trained, open-source models for a wide range of problem types to help you get started with ML.

Training 93

Training Resources How To Examples 93

AWS Machine Learning

NOVEMBER 22, 2023

These resources introduce common AWS services for IDP workloads and suggested workflows. Frequent throttling – You may experience throttling by AWS services like Amazon Textract due to request limits. These advantages can enable you to optimize the usage and cost of underlying AI services.

Metrics 95

Metrics User Experience System Data 95

AWS Machine Learning

DECEMBER 14, 2023

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart , a machine learning (ML) hub offering models, algorithms, and solutions. Community and user contributions – Crowdsourced platforms and user communities often play a significant role in improving prompts.

Entertainment 96

Entertainment Guidelines Advertising Resources 96

AWS Machine Learning

MAY 19, 2023

In our previous blogpost Enable the Visually Impaired to Hear Documents using Amazon Textract and Amazon Polly , we showed you our Text to Speech application called “Read for Me”. The Amazon Cognito Identity pool grants temporary access to the Amazon S3 bucket. Accessibility has come a long way, but what about images?

Video 90

Video Training Conference Technology 90

AWS Machine Learning

NOVEMBER 21, 2023

In the dynamic world of streaming on Amazon Music , every search for a song, podcast, or playlist holds a story, a mood, or a flood of emotions waiting to be unveiled. Delivering a superior customer experience to instantly find the music that users search for requires a platform that is both smart and responsive.

Training 84

Training e-support Software Case Study 84

AWS Machine Learning

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

Report 70

Report Data Guidelines Training 70

AWS Machine Learning

SEPTEMBER 19, 2023

In this post, we share how VirtuSwap used the bring-your-own-container feature in Amazon SageMaker Studio to build a robust environment to host their GPU-intensive simulations to solve linear optimization problems. The CLI can create the repository in Amazon ECR and build the container using CodeBuild. Read more at virtuswap.io.

Policies 120

Policies Comparison Resources Groups 120

AWS Machine Learning

APRIL 12, 2023

Amazon Kendra is an intelligent enterprise search service that allows users to search across different content repositories. Amazon Kendra can easily validate the identity of individual users as well as user groups who perform searches with the addition of secure search tokens.

Case Study 90

Case Study Groups Study Policies 90

AWS Machine Learning

SEPTEMBER 20, 2023

Another example is independent software vendors (ISVs) that make their products and services available in different cloud platforms to benefit their end customers. AWS provides support for scenarios where organizations want to bring their own model to Amazon SageMaker or into Amazon SageMaker Canvas for predictions.

Training 102

Training e-support Resources Groups 102

AWS Machine Learning

NOVEMBER 7, 2023

Today, we are excited to unveil three generative AI demos, licensed under MIT-0 license : Amazon Kendra with foundational LLM – Utilizes the deep search capabilities of Amazon Kendra combined with the expansive knowledge of LLMs. This AWS CDK project requires Amazon SageMaker instances (two ml.g5.48xlarge).

Data 96

Data Comparison Guidelines Training 96

AWS Machine Learning

JANUARY 10, 2024

Model developers often work together in developing ML models and require a robust MLOps platform to work in. A scalable MLOps platform needs to include a process for handling the workflow of ML model registry, approval, and promotion to the next environment level (development, test, UAT, or production).

Training 101

Training Travel Analytics Metrics 101

AWS Machine Learning

DECEMBER 7, 2023

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. These predictions, produced with Amazon Forecast, help determine when and how many couriers each warehouse needs.

Management 102

Management Analytics Data Resources 102

AWS Machine Learning

OCTOBER 18, 2023

As the leading pet adoption platform, Petfinder has helped millions of pets find their forever homes. Purina consistently seeks ways to make the Petfinder platform even better for both shelters and rescue groups and pet adopters. AWS CodeBuild is a fully managed continuous integration service in the cloud.

Training 97

Training Metrics Data Consulting 97

AWS Machine Learning

APRIL 13, 2023

Amazon CodeWhisperer is an AI coding companion that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Conclusion This post introduces CodeWhisperer, an AI coding companion by Amazon.

Consulting 85

Consulting Travel Software Training 85

AWS Machine Learning

NOVEMBER 8, 2023

This post explores how Amazon CodeWhisperer can help with code optimization for sustainability through increased resource efficiency. In this post, we discover how Amazon CodeWhisperer helps address these concerns and reduce the environmental footprint of your code. Therefore, AWS can help lower the workload carbon footprint up to 96%.

Resources 99

Resources Analytics Software Data 99

AWS Machine Learning

MAY 5, 2023

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Amazon Kendra is an intelligent search service powered by ML, and Amazon Rekognition is an ML service that can identify objects, people, text, scenes, and activities from images or videos.

Training 101

Training Examples How To Data 101

AWS Machine Learning

JANUARY 12, 2023

Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Service Cloud by Salesforce is one of the world’s most popular and highly rated customer service software solutions. Configure Salesforce Service Cloud. Solution overview.

Omni-Channel 79

Omni-Channel Multi-Channel Resources Policies 79

AWS Machine Learning

AUGUST 3, 2023

Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. In some cases, a more custom solution might be needed along with the service to solve a very specific problem. In the first option, we use Amazon Rekognition to detect the wheels of the car.

Training 64

Training Data Examples Sports 64

Comm100

APRIL 17, 2023

Alternatively, learn more about Comm100 HIPAA compliant live chat, email & messaging platform here. Data ‘at rest’ is encrypted through Amazon Web Services (AWS) RDS encryption algorithm which utilizes AES 256-bit encryption. What is HIPAA compliant messaging and why does it matter? million per year.

Healthcare 130

Healthcare Communication Multi-Channel Policies 130

AWS Machine Learning

SEPTEMBER 19, 2023

All this is achieved using AWS services, thereby increasing the financial analyst’s efficiency to analyze multi-modal financial data (text, speech, and tabular data) holistically. The steps involved are as follows: The financial analyst poses questions via a platform such as chatbots.

Financial 103

Financial Multi-Channel Marketing Analysis 103

Comm100

SEPTEMBER 23, 2021

As there continues to be an explosion of available digital services, your company must understand the need to have a complete picture of the buyer’s journey. By building proactive and unified communication and service channels, you will effortlessly deliver differentiated customer experiences that drive loyalty and sales.

Omni-Channel 198

Omni-Channel Customer Service Chatbots Customers 198

AWS Machine Learning

SEPTEMBER 9, 2022

Amp , the new live radio app from Amazon, is a reinvention of radio featuring human-curated live audio shows. However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. The source data is emitted from Amp-owned systems or other Amazon systems.

Analytics 70

Analytics Data Customer Engagement Engagement 70

AWS Machine Learning

JANUARY 16, 2024

ASR technology finds utility in transcription services, voice assistants, and enhancing accessibility for individuals with hearing impairments. This state-of-the-art model is trained on a vast and diverse dataset of multilingual and multitask supervised data collected from the web. For more information, you can check this link.

Data 104

Data How To Groups Analysis 104

AWS Machine Learning

DECEMBER 1, 2022

Although farmers have traditionally collected data manually from their operations by recording equipment and yield data or taking notes of field observations, builders of agronomic data platforms on AWS help farmers work with their trusted agronomic advisors use that data at scale.

Data 75

Data Training Effort Score Analytics 75

AWS Machine Learning

DECEMBER 1, 2023

That’s why today we are excited to announce the new onboarding experience that makes it effortless for you to set up Amazon SageMaker domains for your organization. As a platform administrator, you can use the updated user interface (UI) and APIs to onboard users faster, with the right security settings and infrastructure. Choose Next.

Groups 96

Groups Resources Sports Government 96

AWS Machine Learning

JANUARY 6, 2023

Prior to building this centralized platform, TR had a legacy rules-based engine to generate renewal recommendations. In this post, we explain how TR used Amazon Personalize to build a scalable, multi-tenanted recommender system that provides the best product subscription plans and associated pricing to their customers.

Training 67

Training System Interaction Data 67

AWS Machine Learning

FEBRUARY 22, 2023

Boomi is an enterprise-level software as a service (SaaS) independent software vendor (ISV) that creates developer enablement tooling for software engineers. These tools integrate via API into Boomi’s core service offering. Markov chains are best known for their applications in web crawling and search engines.

Training 71

Training Software Data Customers 71

AWS Machine Learning

MAY 25, 2023

Amazon Lex provides the framework for building AI based chatbots. To understand the overall structure of a RAG-based approach, refer to Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart. Ingesting document embeddings into Amazon OpenSearch Service.

Chatbots 78

Chatbots Data Training How To 78

AWS Machine Learning

DECEMBER 13, 2023

Amazon SageMaker MLOps is a suite of features that includes Amazon SageMaker Projects (CI/CD), Amazon SageMaker Pipelines and Amazon SageMaker Model Registry. GitHub and GitHub Actions GitHub is a web-based platform that provides version control and source code management using Git.

Resources 102

Resources Training Connections Tools 102

AWS Machine Learning

JULY 20, 2022

Third-party cookies help enable personalized ads for web users, and allow advertisers to reach their intended audience. The solution comprises two components: AWS Media Intelligence (AWS MI) capabilities for context extraction from content on web pages, and CITM for intelligent mapping of content to an industry taxonomy.

Advertising 80

Advertising Automotive Industry How To 80

AWS Machine Learning

NOVEMBER 8, 2023

The MONAI AI models and applications can be hosted on Amazon SageMaker , which is a fully managed service to deploy machine learning (ML) models at scale. Create an Amazon SageMaker Studio domain and user profile with AWS Identity and Access Management (IAM) permission to access AWS HealthImaging. In the customized inference.py

Healthcare 97

Healthcare How To Data Resources 97

AWS Machine Learning

NOVEMBER 16, 2022

Today, many AWS customers are building enterprise-ready machine learning (ML) platforms on Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow on AWS (an AWS-specific distribution of Kubeflow) across many use cases, including computer vision, natural language understanding, speech translation, and financial modeling.

Metrics 68

Metrics Policies Training Resources 68