AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. At this point, you need to consider the use case and data isolation requirements.

Enterprise 109

Enterprise APIs Government Accountability 109

AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government 116

Government APIs Enterprise Best practices 116

AWS Machine Learning

OCTOBER 11, 2024

This post dives deep into Amazon Bedrock Knowledge Bases , which helps with the storage and retrieval of data in vector databases for RAG-based workflows, with the objective to improve large language model (LLM) responses for inference involving an organization’s datasets.

APIs 99

APIs Enterprise Engineering Government 99

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. One approach to moderate videos is to model video data as a sample of image frames and use image content moderation models to process the frames individually.

APIs 73

APIs Scripts Metrics Surveys 73

AWS Machine Learning

NOVEMBER 1, 2024

Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility and insights. Generate and invoke private API calls.

APIs 106

APIs Scripts Engineering Government 106

AWS Machine Learning

NOVEMBER 13, 2024

By taking advantage of advanced natural language processing (NLP) capabilities and data analysis techniques, you can streamline common tasks like these in the financial industry: Automating data extraction – The manual data extraction process to analyze financial statements can be time-consuming and prone to human errors.

APIs 102

APIs Banking Enterprise Metrics 102

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

Metrics 113

Metrics Analytics APIs Big data 113

AWS Machine Learning

NOVEMBER 1, 2024

Users can manage and use application inference profiles using Bedrock APIs or the boto3 SDK: CreateInferenceProfile : Initiates a new inference profile, allowing users to configure the parameters for the profile. ConverseStream API : Similar to the Converse API but supports streaming responses for real-time interactions.

APIs 130

APIs Management Accountability Metrics 130

AWS Machine Learning

SEPTEMBER 23, 2024

This is where synthetic data generation comes into play. With synthetic data, you can streamline the evaluation process and gain confidence in your system’s capabilities before unleashing it to the real world. This post explains how to use Anthropic Claude on Amazon Bedrock to generate synthetic data for evaluating your RAG system.

APIs 84

APIs Engineering Best practices Enterprise 84

AWS Machine Learning

NOVEMBER 15, 2024

Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. This can be useful when you have requirements for sensitive data handling and user privacy.

APIs 96

APIs Government Best practices Metrics 96

AWS Machine Learning

OCTOBER 5, 2022

In this post, we discuss the key elements needed to evaluate the performance aspect of a content moderation service in terms of various accuracy metrics, and a provide an example using Amazon Rekognition Content Moderation API’s. To annotate your image data, you can use Amazon SageMaker Ground Truth (GT)to manage image annotation.

Metrics 85

Metrics APIs Advertising Enterprise 85

AWS Machine Learning

MARCH 27, 2024

The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance. This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control.

Enterprise 109

Enterprise APIs Metrics Engineering 109

AWS Machine Learning

JANUARY 25, 2023

This post shows you how to use an integrated solution with Amazon Lookout for Metrics to break these barriers by quickly and easily detecting anomalies in the key performance indicators (KPIs) of your interest. Lookout for Metrics automatically detects and diagnoses anomalies (outliers from the norm) in business and operational data.

Metrics 82

Metrics APIs Enterprise Analytics 82

AWS Machine Learning

AUGUST 7, 2024

RAG is the process of optimizing the output of an LLM so it references an authoritative knowledge base outside of its training data sources before generating a response. RAG also scales better with more data compared to pure generative models, and it doesn’t require fine-tuning of the model when new data is added to the knowledge base.

APIs 128

APIs Chatbots Metrics Education 128

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. The model is then A/B tested along with the use case in pre-production with production-like data settings and approved for deployment to the next stage.

Government 90

Government Management APIs Accountability 90

AWS Machine Learning

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

Best practices 135

Best practices Enterprise Engineering APIs 135

Infinity

MARCH 3, 2022

The greater the visibility you have of the data needed to track conversion events, optimise ads and re-target users, the stronger the position you are in as a marketer. After all, for marketers, gathering as much data as possible from as many touchpoints as possible is the name of the game. Getting data on the customer journey.

APIs 52

APIs Marketing Advertising Government 52

AWS Machine Learning

AUGUST 11, 2022

The process of applying AI and machine learning (ML)-based solutions to find data anomalies involves a lot of complexity in ingesting, curating, and preparing data in the right format and then optimizing and maintaining the effectiveness of these ML models over long periods of time. Streaming data ingestion and storage.

Metrics 77

Metrics APIs Scripts Wireless 77

AWS Machine Learning

JANUARY 12, 2023

At The Very Group , which operates digital retailer Very, security is a top priority in handling data for millions of customers. However, this can mean processing customer data in the form of personally identifiable information (PII) in relation to activities such as purchases, returns, use of flexible payment options, and account management.

Engineering 127

Engineering APIs Accountability Metrics 127

AWS Machine Learning

OCTOBER 23, 2024

Have you ever faced the challenge of obtaining high-quality data for fine-tuning your machine learning (ML) models? Generating synthetic data can provide a robust solution, especially when real-world data is scarce or sensitive. Generate synthetic data using Meta Llama 3 on Amazon Bedrock. Open SageMaker Studio.

Metrics 78

Metrics APIs Scripts Engineering 78

AWS Machine Learning

AUGUST 26, 2024

Users can input audio, video, or text into GenASL, which generates an ASL avatar video that interprets the provided data. The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API design API Gateway supports a maximum timeout of 29 seconds.

APIs 118

APIs Calibration Best practices Healthcare 118

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. The fine-tuning as a deep level of customization represents a key differentiating factor by using your own unique data.

APIs 130

APIs Airlines Metrics Engineering 130

AWS Machine Learning

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

Engineering 108

Engineering APIs Sales Enterprise 108

AWS Machine Learning

OCTOBER 29, 2024

However, because multiple teams might use your ML platform in the cloud, monitoring large ML workloads across a scaling multi-account environment presents challenges in setting up and monitoring telemetry data that is scattered across multiple accounts. Consolidate metrics across source accounts and build unified dashboards.

Government 94

Government Metrics Accountability APIs 94

AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. This prediction is called inference.

Metrics 88

Metrics Engineering Accountability Telecommunications 88

AWS Machine Learning

SEPTEMBER 9, 2022

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

Analytics 76

Analytics Engineering Metrics APIs 76

AWS Machine Learning

MAY 7, 2024

We match the most relevant videos to text-based search queries by incorporating new multimodal embedding models like Amazon Titan Multimodal Embeddings to encode all visual, visual-meta, and transcription data. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API.

APIs 123

APIs Advertising Entertainment Metrics 123

AWS Machine Learning

SEPTEMBER 29, 2023

This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. In late 2023, Planet announced a partnership with AWS to make its geospatial data available through Amazon SageMaker.

Engineering 130

Engineering Metrics APIs Surveys 130

AWS Machine Learning

NOVEMBER 21, 2024

Fine-tuning foundation models (FMs) is a process that involves exposing a pre-trained FM to task-specific data and fine-tuning its parameters. We use Amazon SageMaker Pipelines , which helps automate the different steps, including data preparation, fine-tuning, and creating the model. Check the training job status.

Metrics 77

Metrics APIs Healthcare Scripts 77

AWS Machine Learning

JUNE 5, 2024

Comprehend Custom builds customized NLP models on your behalf, using training data that you provide. Load the data in an Amazon Simple Storage Service (Amazon S3) bucket. Collect and prepare the dataset Your training data should have both phishing and non-phishing emails. Create the Amazon Comprehend custom classification model.

APIs 107

APIs Metrics Accountability Enterprise 107

AWS Machine Learning

APRIL 24, 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, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

APIs 126

APIs Engineering Metrics Management 126

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. An ML model registered by a data scientist needs an approver to review and approve before it is used for an inference pipeline and in the next environment level (test, UAT, or production). API Gateway invokes a Lambda function to initiate model updates.

APIs 120

APIs Construction Engineering Analytics 120

AWS Machine Learning

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. This feature allows you to separate data into logical partitions, making it easier to analyze and process data later.

Best practices 106

Best practices Feedback Metrics APIs 106

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. The training data must be formatted in a JSON Lines (.jsonl)

APIs 136

APIs Scripts Finance Real estate 136

AWS Machine Learning

NOVEMBER 1, 2024

By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities. We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation.

Best practices 92

Best practices APIs Finance Engineering 92

AWS Machine Learning

NOVEMBER 6, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. In this post, we show how Custom Queries can accurately extract data from checks that are complex, non-standard documents. Adapters can be created via the console or programmatically via the API.

APIs 122

APIs Best practices Banking Accountability 122

Spearline

JULY 7, 2022

O ur suite of webRTC testing, monitoring, and analytics solutions provide a raft of real-time and aggregate global and localized testing metrics. These metrics represent performance at all levels of critical webRTC infrastructure and network paths. Or, call our API for this information in JSON format.

Metrics 95

Metrics APIs Analytics Contact Center 95