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

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 70

APIs Engineering Metrics Big data 70

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 103

APIs Chatbots Construction Engineering 103

AWS Machine Learning

FEBRUARY 21, 2025

The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools and APIs to perform complex document analysis tasks. For more details on how tool use works, refer to The complete tool use workflow.

APIs 83

APIs Healthcare Consulting Consulting 83

AWS Machine Learning

MARCH 3, 2025

Amazon Bedrock Marketplace is a new capability in Amazon Bedrock that enables developers to discover, test, and use over 100 popular, emerging, and specialized foundation models (FMs) alongside the current selection of industry-leading models in Amazon Bedrock. To begin using Pixtral 12B, choose Deploy.

Benchmark 83

Benchmark APIs Enterprise Construction 83

AWS Machine Learning

NOVEMBER 14, 2024

The user’s request is sent to AWS API Gateway , which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location. It will then return the place name with the highest similarity score.

APIs 104

APIs Engineering Personalization Transportation 104

AWS Machine Learning

NOVEMBER 19, 2024

Learn how you can use leading foundation models (FMs) from industry leaders and Amazon to build and scale your generative AI applications, and understand customization techniques like fine-tuning and Retrieval Augmented Generation (RAG). Fifth, we’ll showcase various generative AI use cases across industries.

APIs 88

APIs Enterprise Best practices Government 88

AWS Machine Learning

OCTOBER 16, 2024

Frontend and API The CQ application offers a robust search interface specially crafted for call quality agents, equipping them with powerful auditing capabilities for call analysis. Additionally, the application offers backend dashboards tailored to MLOps functionalities, ensuring smooth monitoring and optimization of machine learning models.

Customer Service 78

Customer Service Scripts Coaching Finance 78

AWS Machine Learning

JANUARY 7, 2025

However, the industry is seeing enough potential to consider LLMs as a valuable option. For customers operating in global industries, potentially translating to and from over 10 languages, this approach can prove to be operationally complex and costly. The translated text should be different and closer to a more natural translation.

Engineering 100

Engineering Metrics industry standards Finance 100

AWS Machine Learning

FEBRUARY 24, 2025

Amazon Bedrock Marketplace is a new capability in Amazon Bedrock that developers can use to discover, test, and use over 100 popular, emerging, and specialized foundation models (FMs) alongside the current selection of industry-leading models in Amazon Bedrock. It doesnt support Converse APIs or other Amazon Bedrock tooling.

APIs 79

APIs Enterprise Benchmark Feedback 79

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 115

Government APIs Enterprise Best practices 115

AWS Machine Learning

AUGUST 7, 2024

We then retrieve answers using standard RAG and a two-stage RAG, which involves a reranking API. Retrieve answers using the knowledge base retrieve API Evaluate the response using the RAGAS Retrieve answers again by running a two-stage RAG, using the knowledge base retrieve API and then applying reranking on the context.

APIs 127

APIs Chatbots Metrics Education 127

AWS Machine Learning

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

Enterprise 107

Enterprise APIs Metrics Engineering 107

AWS Machine Learning

MAY 7, 2024

It offers solutions for media transcription, facial recognition, content summarization, object detection, and other AI capabilities to solve the unique challenges professionals face across industries. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API.

APIs 124

APIs Advertising Entertainment Metrics 124

AWS Machine Learning

OCTOBER 24, 2024

This two-part series shares the insights gained by AWS GenAIIC from direct experience building RAG solutions across a wide range of industries. The retrieve_and_generate API does both the retrieval and a call to an FM (Amazon Titan or Anthropic’s Claude family of models on Amazon Bedrock ), for a fully managed solution.

Chatbots 82

Chatbots Metrics Scripts APIs 82

AWS Machine Learning

JANUARY 10, 2024

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The approver approves the model by following the link in the email to an API Gateway endpoint. API Gateway invokes a Lambda function to initiate model updates.

APIs 119

APIs Construction Engineering Analytics 119

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. Intelligent document processing with AWS AI and Analytics services in the insurance industry. Extract default entities with the Amazon Comprehend DetectEntities API.

Analytics 87

Analytics APIs Healthcare Big data 87

AWS Machine Learning

JULY 10, 2024

This process enhances task-specific model performance, allowing the model to handle custom use cases with task-specific performance metrics that meet or surpass more powerful models like Anthropic Claude 3 Sonnet or Anthropic Claude 3 Opus. Under Output data , for S3 location , enter the S3 path for the bucket storing fine-tuning metrics.

APIs 128

APIs Airlines Metrics Engineering 128

AWS Machine Learning

MARCH 3, 2025

AWS Local Zones are a type of edge infrastructure deployment that places select AWS services close to large population and industry centers. They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. Each request contains a random prompt with a mean token count of 250 tokens.

APIs 72

APIs Benchmark Metrics Healthcare 72

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 124

Real estate APIs Metrics Construction 124

AWS Machine Learning

FEBRUARY 7, 2025

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails.

Entertainment 75

Entertainment APIs Technology Feedback 75

CCNG

MAY 30, 2024

Forecasting Core Features The Ability to Consume Historical Data Whether it’s from a copy/paste of a spreadsheet or an API connection, your WFM platform must have the ability to consume historical data.

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 114

APIs Metrics Consulting Consulting 114

AWS Machine Learning

DECEMBER 29, 2022

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The Signatures feature is available as part of the AnalyzeDocument API. Learn more about how to use this feature in our documentation for the AnalyzeDocument API.

APIs 106

APIs Banking Real estate Healthcare 106

AWS Machine Learning

NOVEMBER 22, 2022

The solution improved the manual forecast by an average of 10% in regards to the WAPE metric. In this post, we present the workflow and the critical elements to implement—from proof of concept (POC) to production—a demand forecasting system with Amazon Forecast, focused on challenges in the retail industry. Target dataset generation.

Sales 91

Sales Metrics APIs Healthcare 91

AWS Machine Learning

SEPTEMBER 28, 2023

Regulated and compliance-oriented industries, such as financial services, healthcare and life sciences, and government institutes, face unique challenges in ensuring the secure and responsible consumption of these models. In addition, API Registries enabled centralized governance, control, and discoverability of APIs.

APIs 115

APIs Government Enterprise Engineering 115

AWS Machine Learning

FEBRUARY 25, 2025

Amazon Q Business only provides metric information that you can use to monitor your data source sync jobs. With the connector ready, move over to the SageMaker Studio notebook and perform data synchronization operations by invoking Amazon Q Business APIs. secrets_manager_client = boto3.client('secretsmanager')

Enterprise 85

Enterprise Engineering APIs Accountability 85

AWS Machine Learning

JANUARY 24, 2025

Analyze results through metrics and evaluation. Under Output data , for S3 location , enter the S3 path for the bucket storing fine-tuning metrics. Model customization in Amazon Bedrock involves the following actions: Create training and validation datasets. Set up IAM permissions for data access. Configure a KMS key and VPC.

Best practices 108

Best practices Accountability industry standards Metrics 108

AWS Machine Learning

JULY 3, 2024

This new functionality offers industry-leading safety measures that filter harmful content and protect sensitive information in your documents, improving user experience and aligning with organizational standards. An example query could be, “What are the recent performance metrics for our high-net-worth clients?”

APIs 124

APIs Banking Metrics Management 124

AWS Machine Learning

JUNE 25, 2024

A new automatic dashboard for Amazon Bedrock was added to provide insights into key metrics for Amazon Bedrock models. From here you can gain centralized visibility and insights to key metrics such as latency and invocation metrics. Optionally, you can select a specific model to isolate the metrics to one model.

Metrics 115

Metrics APIs Government Big data 115

CSM Magazine

NOVEMBER 4, 2024

Ongoing Optimization Continuous testing and analytics around localized content performance, engagement metrics, changing trends and needs enable refinement and personalization. Local cultural consultants help align content. Customer feedback channels also provide insight. Continuous IT cooperation is vital.

Customer Experience 52

Customer Experience APIs Advertising Marketing 52

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 123

APIs Enterprise Scripts Accountability 123

AWS Machine Learning

JUNE 24, 2022

Machine learning (ML) has rapidly evolved from being a fashionable trend emerging from academic environments and innovation departments to becoming a key means to deliver value across businesses in every industry. The solution. This container is pushed to Amazon ECR and finally passed as a parameter to the SageMaker training invocation.

APIs 72

APIs Engineering Accountability Metrics 72

AWS Machine Learning

MAY 9, 2024

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses.

Engineering 129

Engineering Customer Support APIs Government 129

AWS Machine Learning

JANUARY 5, 2024

Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.

Management 129

Management APIs Engineering Government 129

AWS Machine Learning

JANUARY 29, 2025

To facilitate this, the centralized account uses API gateways or other integration points provided by the LOBs AWS accounts. Inference profiles can be defined to track Amazon Bedrock usage metrics, monitor model invocation requests, or route model invocation requests to multiple AWS Regions for increased throughput.

Enterprise 80

Enterprise Government Accountability Finance 80

AWS Machine Learning

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee.

APIs 119

APIs Healthcare Scripts Enterprise 119