AWS Machine Learning

JUNE 9, 2022

SageMaker JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that solve common business problems. In this post, we’re excited to announce that all trainable JumpStart models now support incremental training.

Scripts 67

Scripts APIs Enterprise Accountability 67

AWS Machine Learning

APRIL 5, 2024

Amazon Rekognition includes a simple, easy-to-use API that can quickly analyze any image or video file that’s stored in Amazon Simple Storage Service (Amazon S3). The following table shows the moderation labels, content type, and confidence scores returned in the API response. Graphic Violence L2 92.6% Explosions and Blasts L3 92.6%

APIs 105

APIs Advertising Enterprise Technology 105

AWS Machine Learning

JANUARY 10, 2024

When a model is trained and ready to be used, it needs to be approved after being registered in the Amazon SageMaker Model Registry. Overview of solution This post focuses on a workflow solution that the ML model development lifecycle can use between the training pipeline and inferencing pipeline.

APIs 99

APIs Construction Engineering Analytics 99

AWS Machine Learning

DECEMBER 22, 2023

Large language model (LLM) training has surged in popularity over the last year with the release of several popular models such as Llama 2, Falcon, and Mistral. Training performant models at this scale can be a challenge. These features improve the usability of the library, expand functionality, and accelerate training.

Scripts 99

Scripts APIs Engineering Finance 99

AWS Machine Learning

NOVEMBER 6, 2023

Custom Queries is easy to integrate in your existing Textract pipeline and you continue to benefit from the fully managed intelligent document processing features of Amazon Textract without having to invest in ML expertise or infrastructure management. Adapters can be created via the console or programmatically via the API.

APIs 101

APIs Best practices Banking Accountability 101

AWS Machine Learning

AUGUST 3, 2023

Amazon Rekognition is a fully managed service that can perform CV tasks like object detection, video segment detection, content moderation, and more to extract insights from data without the need of any prior ML experience. Training ML algorithms for pose estimation requires a lot of expertise and custom training data.

APIs 63

APIs Scripts Engineering Technical Support 63

AWS Machine Learning

AUGUST 29, 2022

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Customers are increasingly adopting multi-account architectures for deploying and managing machine learning (ML) workflows with SageMaker Pipelines.

Accountability 84

Accountability APIs Management Engineering 84

CSM Magazine

OCTOBER 28, 2020

API ( Application Programming Interface ) is considered an integral part of website and mobile app development. The API enables a mobile application to exchange data easily with other apps or platforms. The reasons for outsourcing API development. Outsourcing companies provide customized API development services.

APIs 40

APIs outsourcing Marketing Surveys 40

AWS Machine Learning

OCTOBER 18, 2023

The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring. It is already trained on tens of millions of images across many categories. AWS CodeBuild is a fully managed continuous integration service in the cloud.

APIs 95

APIs Metrics Consulting Consulting 95

Playvox

NOVEMBER 15, 2022

For contact center managers, this phrase rings in their heads each time they create a forecast, build a schedule, or track schedule adherence. . In this environment, investing in a workforce management (WFM) solution becomes key, particularly if your support center has been using spreadsheets or trying to get by with subpar solutions.

Management 86

Management Schedule adherence Coaching Contact Center 86

TechSee

JUNE 29, 2023

Practical service automation requires a management layer that oversees and optimizes the LLM and integrates with the broader ecosystem of backend platforms and customer interfaces. Training an LLM to Know and Write Standing up an LLM-powered chatbot requires training, tuning, testing, and validating the LLM’s knowledge and guidance.

Chatbots 202

Chatbots Customer Service Wait times APIs 202

AWS Machine Learning

AUGUST 4, 2023

In Part 1 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. frameworks to restrict client access to your APIs.

APIs 78

APIs Scripts Management Accountability 78

AWS Machine Learning

JULY 11, 2023

With Amazon SageMaker , you can use the @remote decorator to run a SageMaker training job simply by annotating your Python code with an @remote decorator. You can install them via package and dependency management tools like pip or conda. All the dependencies will be downloaded from the private PyPI repository.

Scripts 57

Scripts APIs Healthcare Banking 57

AWS Machine Learning

FEBRUARY 13, 2023

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale. The steps are as follows: Open AWS Cloud9 on the console.

Scripts 74

Scripts Best practices Transportation Construction 74

AWS Machine Learning

FEBRUARY 29, 2024

It allows you to seamlessly customize your RAG prompts and retrieval strategies—we provide the source attribution, and we handle memory management automatically. To enable effective retrieval from private data, a common practice is to first split these documents into manageable chunks. Choose Next. Choose Next.

APIs 114

APIs Healthcare Scripts Enterprise 114

AWS Machine Learning

NOVEMBER 17, 2023

Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that is designed to provide a quick and straightforward setup to let you build interactive video experiences and handles interactive video content from ingestion to delivery. For details about Amazon IVS costs, refer to Costs (Low-Latency Streaming).

APIs 89

APIs Engineering Advertising Accountability 89

AWS Machine Learning

FEBRUARY 7, 2024

Solution overview We use Amazon Fraud Detector, a fully managed fraud detection service, to automate the detection of fraudulent activities. Select your options and train the model. Deploy the API to make predictions. Create the model. Review model performance. Deploy the model. Create a detector. Choose Create entity.

APIs 108

APIs Accountability Metrics Engineering 108

AWS Machine Learning

MAY 5, 2023

It consists of pre-trained models that can be applied to analyze images and videos at scale. By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics.

Engineering 101

Engineering APIs Scripts Enterprise 101

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. Build and train ML models using a data mesh architecture on AWS. Part 1: Data mesh set up and data product registration. Data exploration.

Scripts 71

Scripts Analytics Accountability Engineering 71

AWS Machine Learning

MAY 23, 2023

Like all AI, generative AI is powered by ML models—very large models that are pre-trained on vast corpora of data and commonly referred to as foundation models (FMs). With tradition ML models, in order to achieve each specific task, you need to gather labeled data, train a model, and deploy that model.

APIs 92

APIs Accountability Construction Management 92

AWS Machine Learning

NOVEMBER 7, 2023

However, their training on massive datasets also limits their usefulness for specialized tasks. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. Furthermore, the cost to train new LLMs can prove prohibitive for many enterprise settings.

Enterprise 94

Enterprise APIs Engineering Accountability 94

AWS Machine Learning

JULY 29, 2022

A data mesh architecture strives to solve these technical and organizational challenges by introducing a decentralized socio-technical approach to share, access, and manage data in complex and large-scale environments—within or across organizations. Data mesh overview.

Government 78

Government Banking Analytics Accountability 78

Select VoiceCom Blog

APRIL 17, 2023

Within the realm of BPO, business process management (BPM) is a critical subtopic that enables you to improve your company’s processes and performance. What Is Business Process Management? Some common ways to use BPM include automation, workflow, and compliance management.

Management 52

Management Business Process Outsourcing Best practices outsourcing 52

AWS Machine Learning

MARCH 10, 2023

You can also use Amazon SageMaker to train a proprietary fraud detection model. For more information, refer to Train fraudulent payment detection with Amazon SageMaker. The same architecture applies if you use Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a data streaming service.

APIs 114

APIs Banking Accountability Analytics 114

AWS Machine Learning

OCTOBER 27, 2023

Additionally, as a fully managed artificial intelligence service, Amazon Personalize accelerates customers’ digital transformations with ML, making it easier to integrate personalized recommendations into existing websites, applications, email marketing systems, and so on. Dear , Desiring the cozy feel of fall?

Personalization 87

Personalization Marketing APIs Entertainment 87

AWS Machine Learning

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. Today, users invest a significant amount of resources to build, train, and maintain custom models. However, these models are sensitive to changes in the real world.

APIs 68

APIs Metrics Accountability Scripts 68

AWS Machine Learning

NOVEMBER 17, 2022

This would ensure Yara would train, deploy, and maintain models reliably and efficiently. We provide an overview of the setup, showcasing the process of building, training, deploying, and monitoring ML models for plants around the globe. Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC.

APIs 92

APIs Accountability Metrics Engineering 92

AWS Machine Learning

NOVEMBER 26, 2023

Whether you’re looking for a managed solution or build your own, you can use these new capabilities to power your journey. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. You upload a list of itemId values as your seed items.

Personalization 103

Personalization Customer Experience APIs Entertainment 103

AWS Machine Learning

SEPTEMBER 6, 2023

It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). With the advent of these LLMs or FMs, customers can simply build Generative AI based applications for advertising, knowledge management, and customer support.

Enterprise 96

Enterprise APIs Real estate Construction 96

AWS Machine Learning

JULY 25, 2023

It is all backed by very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). An AWS Identity and Access Management (IAM) role with permissions to deploy the AWS CloudFormation templates used in this solution and manage resources as part of the solution.

APIs 79

APIs Healthcare Accountability Engineering 79

AWS Machine Learning

DECEMBER 12, 2022

Amazon Comprehend provides customized features, custom entity recognition , custom classification , and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. You can train and tune these models. SageMaker JumpStart.

APIs 75

APIs Accountability Enterprise Metrics 75

AWS Machine Learning

APRIL 24, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. accuracy by training on 800 data points and testing on 300 data points. API Gateway bypasses the request to Lambda.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs 75

APIs Benchmark Best practices Engineering 75

DMG Consulting

SEPTEMBER 7, 2023

Workforce Management for the 21st Century: Helping Deliver a Great CX View this article on the publisher’s website. Workforce management (WFM) solutions are essential in good times and even more indispensable when the economy is challenged and budgets are tight.

Management 48

Management Real estate Agent Empowerment Enterprise 48

JustCall

SEPTEMBER 29, 2023

JustCall’s Copper integration offers seamless communication with click-to-call and click-to-message features for effortless contact management. With JustCall integrated into Copper, you can make calls , send texts, and manage communications all from one platform. Go to ‘settings’ from the dashboard sidebar.

APIs 52

APIs CRM Accountability Management 52

AWS Machine Learning

MAY 31, 2023

The Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning (ML) models on Amazon SageMaker. In such cases, data scientists have to provide these parameters to their ML model training and deployment code manually, by noting down subnets, security groups, and KMS keys.

APIs 79

APIs Scripts Accountability Enterprise 79

AWS Machine Learning

OCTOBER 10, 2022

GrabDefence (GD), Grab’s proprietary fraud detection and prevention technology, and AWS have launched GDxAFD, a fraud detection solution tailored for mobile apps that integrates GD’s device intelligence capabilities with Amazon Fraud Detector , AWS’s fully managed ML fraud detection solution.

APIs 70

APIs Accountability Metrics Government 70