AWS Machine Learning

APRIL 10, 2025

You can get started without any prior machine learning (ML) experience, and Amazon Personalize allows you to use APIs to build sophisticated personalization capabilities. Train an Amazon Personalize Top picks for you recommender. You start by creating your dataset group, loading your data, and then training a recommender.

Personalization 104

Personalization APIs Advertising Accountability 104

AWS Machine Learning

NOVEMBER 19, 2024

These sessions, featuring Amazon Q Business , Amazon Q Developer , Amazon Q in QuickSight , and Amazon Q Connect , span the AI/ML, DevOps and Developer Productivity, Analytics, and Business Applications topics. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

APIs 108

APIs Enterprise Best practices Government 108

AWS Machine Learning

APRIL 30, 2024

To address these issues, we launched a generative artificial intelligence (AI) call summarization feature in Amazon Transcribe Call Analytics. Simply turn the feature on from the Amazon Transcribe console or using the start_call_analytics_job API. You can upload a call recording in Amazon S3 and start a Transcribe Call Analytics job.

Analytics 120

Analytics APIs Customer Service Entertainment 120

AWS Machine Learning

SEPTEMBER 28, 2023

In this post, we describe the enhancements to the forecasting capabilities of SageMaker Canvas and guide you on using its user interface (UI) and AutoML APIs for time-series forecasting. While the SageMaker Canvas UI offers a code-free visual interface, the APIs empower developers to interact with these features programmatically.

APIs 120

APIs Construction Finance Enterprise 120

AWS Machine Learning

DECEMBER 3, 2024

Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.

Sales 109

Sales APIs Engineering Analytics 109

AWS Machine Learning

FEBRUARY 21, 2025

While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API. which is received by the Invoke Agent function.

Engineering 125

Engineering APIs Analytics Enterprise 125

AWS Machine Learning

JANUARY 31, 2025

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. Although we used a pre-trained FM, the problem was formulated as a text classification task.

Engineering 100

Engineering Enterprise APIs Consulting 100

AWS Machine Learning

FEBRUARY 6, 2025

In this post, we review how Aetion is using Amazon Bedrock to help streamline the analytical process toward producing decision-grade real-world evidence and enable users without data science expertise to interact with complex real-world datasets. The following diagram illustrates the solution architecture.

Healthcare 82

Healthcare APIs Analytics Transportation 82

AWS Machine Learning

MAY 31, 2024

In this blog post and open source project , we show you how you can pre-train a genomics language model, HyenaDNA , using your genomic data in the AWS Cloud. It supports large-scale analysis and collaborative research through HealthOmics storage, analytics, and workflow capabilities.

Biotechnology 117

Biotechnology Scripts Healthcare APIs 117

AWS Machine Learning

NOVEMBER 13, 2024

The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

Engineering 116

Engineering Management APIs Healthcare 116

AWS Machine Learning

NOVEMBER 3, 2022

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Amazon Redshift is another service in the Analytics stack.

Analytics 98

Analytics APIs Healthcare Big data 98

AWS Machine Learning

FEBRUARY 10, 2025

They provide access to external data and APIs or enable specific actions and computation. To improve accuracy, we tested model fine-tuning, training the model on common queries and context (such as database schemas and their definitions). At RDC, Hendra designs end-to-end analytics solutions within an Agile DevOps framework.

Chief Customer Officer 110

Chief Customer Officer Banking SaaS Engineering 110

AWS Machine Learning

FEBRUARY 15, 2023

Amazon SageMaker JumpStart is the machine learning (ML) hub of SageMaker that offers over 350 built-in algorithms, pre-trained models, and pre-built solution templates to help you get started with ML fast. Perform the training step to fine-tune the pre-trained model using transfer learning. Create the model. Register the model.

Scripts 119

Scripts APIs Engineering Enterprise 119

Interactions

OCTOBER 29, 2024

Gen AI offers enormous potential for efficiency, knowledge sharing, and analytical insight in the contact center. There are several ways to work with Gen AI and LLMs, from SaaS applications with embedded Gen AI to custom-built LLMs to applications that bring in Gen AI and LLM capabilities via API. Is it an API model?

Contact Center 62

Contact Center APIs Analytics SaaS 62

TeleDirect

APRIL 16, 2025

Look for a service that has: Encrypted data storage Secure call recording Staff trained in handling PHI (Protected Health Information) Internal audits and compliance reporting 3. Trained Medical Receptionists and Agents Your patients should be speaking with knowledgeable and compassionate representatives.

Call Center 62

Call Center Healthcare Call flow Scripts 62

TeleDirect

APRIL 25, 2025

Key features include: Signed Business Associate Agreement (BAA) Secure data storage Role-based access to patient data Regular staff training on HIPAA policies Ask prospective call center partners: What safeguards are in place to protect patient data? How often do you perform security audits? Do you offer client-specific performance reviews?

Healthcare 62

Healthcare Call Center Abandon rate outsourcing 62

AWS Machine Learning

JANUARY 10, 2024

ML Engineer at Tiger Analytics. 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 130

APIs Construction Engineering Analytics 130

AWS Machine Learning

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 114

Chatbots Engineering Enterprise Government 114

AWS Machine Learning

MARCH 8, 2023

In this post, you will learn how Marubeni is optimizing market decisions by using the broad set of AWS analytics and ML services, to build a robust and cost-effective Power Bid Optimization solution. Consolidated and augmented data ready to be used for model training. Data comes from disparate sources in a number of formats.

Marketing 101

Marketing Analytics APIs Engineering 101

AWS Machine Learning

MARCH 4, 2025

Your data, such as prompts, completions, custom models, and data used for fine-tuning or continued pre-training, is not used for service improvement and is never shared with third-party model providers. Your data remains in the AWS Region where the API call is processed. All data is encrypted in transit and at rest.

Best practices 120

Best practices Enterprise Engineering Strategic Value 120

AWS Machine Learning

JULY 29, 2022

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

Scripts 100

Scripts Analytics Accountability Engineering 100

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. Call the Amazon Fraud Detector API using the GetEventPrediction action. The API returns one of the following results: approve, block, or investigate.

APIs 143

APIs Banking Accountability Analytics 143

AWS Machine Learning

FEBRUARY 29, 2024

Its collaborative capabilities such as real-time coediting and sharing notebooks within the team ensures smooth teamwork, while the scalability and high-performance training caters to large datasets. Each data analytics team is able to request one or multiple SageMaker domains through the company’s internal self-service portal.

APIs 131

APIs Transportation Construction Analytics 131

AWS Machine Learning

DECEMBER 13, 2024

This post was written with Darrel Cherry, Dan Siddall, and Rany ElHousieny of Clearwater Analytics. About Clearwater Analytics Clearwater Analytics (NYSE: CWAN) stands at the forefront of investment management technology. Crystal shares CWICs core functionalities but benefits from broader data sources and API access.

Analytics 94

Analytics Management Accountability Engineering 94

AWS Machine Learning

JULY 29, 2022

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.

Government 101

Government Banking Analytics Accountability 101

AWS Machine Learning

JANUARY 13, 2023

To mitigate these challenges, we propose using an open-source federated learning (FL) framework called FedML , which enables you to analyze sensitive HCLS data by training a global machine learning model from distributed data held locally at different sites. Therefore, it brings analytics to data, rather than moving data to analytics.

Analytics 103

Analytics Healthcare Engineering Government 103

AWS Machine Learning

MAY 30, 2024

Educational tech companies manage large inventories of training videos. The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. It offers details of the extracted video information and includes a lightweight analytics UI for dynamic LLM analysis.

Advertising 130

Advertising APIs Education Analytics 130

CCNG

MAY 30, 2024

From trying to keep up with HR on training, to supporting operations with retention needs, and more, there’s often little time left to talk to IT about the features you need in your next WFM platform. If your platform produces amazing forecasts but no aligned schedules, then you likely have a data analytics platform and not a WFM platform.

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

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. API Gateway calls the Lambda function to obtain the pet attributes.

APIs 128

APIs Metrics Consulting Consulting 128

AWS Machine Learning

JANUARY 7, 2025

By incorporating these human translations into the LLMs training or inference process, the LLM can learn from and reuse these high-quality translations, potentially improving its overall performance. Amazon Titan Text Embeddings V2 includes multilingual support for over 100 languages in pre-training.

Engineering 114

Engineering Metrics industry standards Finance 114

AWS Machine Learning

SEPTEMBER 25, 2023

It made it easy to deploy and manage a pre-trained instance of Flan, offering us a solid foundation for our application. In the architecture shown in the following diagram, users input text in the React -based web app, which triggers Amazon API Gateway , which in turn invokes an AWS Lambda function depending on the bias in the user text.

APIs 123

APIs Automotive Education Engineering 123

AWS Machine Learning

SEPTEMBER 18, 2024

ZOE is a multi-agent LLM application that integrates with multiple data sources to provide a unified view of the customer, simplify analytics queries, and facilitate marketing campaign creation. It simplifies feature access for model training and inference, significantly reducing the time and complexity involved in managing data pipelines.

APIs 122

APIs Engineering Analytics Marketing 122

AWS Machine Learning

JULY 10, 2024

Frontier large language models (LLMs) like Anthropic Claude on Amazon Bedrock are trained on vast amounts of data, allowing Anthropic Claude to understand and generate human-like text. Solution overview Fine-tuning is a technique in natural language processing (NLP) where a pre-trained language model is customized for a specific task.

APIs 132

APIs Airlines Metrics Engineering 132

AWS Machine Learning

SEPTEMBER 12, 2023

In this post, we demonstrate the technical benefits of using Hugging Face transformers deployed with Amazon SageMaker , such as training and experimentation at scale, and increased productivity and cost-efficiency. This merge event now triggers a SageMaker Pipelines job using production data for training purposes.

Management 130

Management APIs CRM Metrics 130

AWS Machine Learning

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Government 130

Government APIs Enterprise Best practices 130

AWS Machine Learning

SEPTEMBER 28, 2023

Agents for Bedrock are a game changer, allowing LLMs to complete complex tasks based on your own data and APIs, privately, securely, with setup in minutes (no training or fine tuning required). Amazon Bedrock is the first fully managed generative AI service to offer Llama 2, Meta’s next-generation LLM, through a managed API.

APIs 140

APIs Enterprise Best practices Government 140

AWS Machine Learning

AUGUST 2, 2024

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. However, their knowledge is static and tied to the data used during the pre-training phase.

APIs 128

APIs Analytics Chatbots Engineering 128