AWS Machine Learning

JANUARY 10, 2024

ML Engineer at Tiger Analytics. 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.

APIs 133

APIs Construction Engineering Analytics 133

AWS Machine Learning

NOVEMBER 1, 2023

In the legal system, discovery is the legal process governing the right to obtain and the obligation to produce non-privileged matter relevant to any party’s claims or defenses in litigation. This two pass solution was made possible by using the ContainsPiiEntities and DetectPiiEntities APIs.

APIs 125

APIs Government Engineering Telecommunications 125

AWS Machine Learning

MARCH 1, 2024

Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results. You have the option to override it to use either hybrid or semantic search in the API.

APIs 138

APIs Finance Chatbots Enterprise 138

AWS Machine Learning

FEBRUARY 6, 2024

Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). Users then review and edit the documents, where necessary, and submit the same to the central governing bodies. His focus area is on Data, Analytics and Generative AI.

Government 135

Government APIs industry solution Education 135

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 136

Engineering Customer Support APIs Government 136

AWS Machine Learning

JANUARY 13, 2023

Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management.

Analytics 104

Analytics Healthcare Engineering Government 104

AWS Machine Learning

MAY 7, 2024

Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The following diagram illustrates the solution architecture.

APIs 136

APIs Advertising Entertainment Metrics 136

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 102

Government Banking Analytics Accountability 102

AWS Machine Learning

JANUARY 5, 2024

MLOps – Model monitoring and ongoing governance wasn’t tightly integrated and automated with the ML models. Reusability – Without reusable MLOps frameworks, each model must be developed and governed separately, which adds to the overall effort and delays model operationalization.

Management 137

Management APIs Engineering Government 137

AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 139

APIs Healthcare Scripts Enterprise 139

AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now allows granular sharing of features across accounts via AWS RAM, enabling collaborative model development with governance. For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account.

Accountability 134

Accountability Government Engineering Scripts 134

Infinity

MARCH 3, 2022

So, in autumn 2021, when Facebook partnered up with Amazon and launched the Conversion API Gateway, it was a very exciting day for Facebook advertisers. When talking Facebook and data, you’re likely to come across two key models – the Conversion API Gateway and the Facebook Pixel, but what’s the difference?

APIs 52

APIs Marketing Advertising Government 52

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted. The following figure shows both versions of these patterns.

Scripts 127

Scripts APIs Government Analytics 127

AWS Machine Learning

OCTOBER 17, 2024

Improved data governance and security – The shared EFS directory, being centrally managed by the AWS infrastructure admin, can provide improved data governance and security. You should have an AWS CloudTrail log file that logs the SageMaker API CreateUserProfile. In his free time, Matteo enjoys traveling and reading.

Government 124

Government Accountability APIs Engineering 124

AWS Machine Learning

NOVEMBER 16, 2023

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Regulations in the healthcare industry call for especially rigorous data governance.

Healthcare 125

Healthcare Government Engineering APIs 125

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. Learn how Toyota utilizes analytics to detect emerging themes and unlock insights used by leaders across the enterprise.

APIs 108

APIs Enterprise Best practices Government 108

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 124

Chatbots Engineering Enterprise Feedback 124

AWS Machine Learning

OCTOBER 3, 2024

The framework implements the infrastructure deployment from a primary governance account to separate development, staging, and production accounts. The governance components, which facilitate model promotions with consistent processes across accounts, have been integrated into the development account.

APIs 98

APIs Construction Engineering Accountability 98

AWS Machine Learning

JUNE 7, 2023

Amazon Textract has a Tables feature within the AnalyzeDocument API that offers the ability to automatically extract tabular structures from any document. We walk through how to use these improvements through code examples to use the API and process the response with the Amazon Textract Textractor library.

APIs 92

APIs Real estate Government Marketing 92

AWS Machine Learning

SEPTEMBER 27, 2022

Amazon Textract now has higher service quotas for several asynchronous and synchronous APIs in multiple major AWS Regions. The following table summarizes the before and after default quota numbers for each of these Regions for the respective synchronous and asynchronous APIs. Increased default service quotas for Amazon Textract.

Self service 98

Self service APIs Management Accountability 98

AWS Machine Learning

JUNE 21, 2024

The application’s frontend is accessible through Amazon API Gateway , using both edge and private gateways. She works with commercial customers and AWS partners to accelerate customers’ business outcomes by providing expertise in analytics and AWS services. The following diagram visualizes the architecture diagram and workflow.

Engineering 131

Engineering Construction APIs Benchmark 131

AWS Machine Learning

SEPTEMBER 8, 2023

This goal will further help Duke Energy to improve grid resiliency and comply with government regulations by identifying the defects in a timely manner. Once the anomalies are identified, technicians can address them, preventing future outages and ensuring compliance with government regulations.

Government 120

Government Metrics Analytics Technology 120

AWS Machine Learning

JUNE 27, 2023

Machine Learning Operations (MLOps) provides the technical solution to this issue, assisting organizations in managing, monitoring, deploying, and governing their models on a centralized platform. That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in.

Engineering 125

Engineering APIs Scripts Entertainment 125

AWS Machine Learning

MARCH 15, 2024

Furthermore, model hosting on Amazon SageMaker JumpStart can help by exposing the endpoint API without sharing model weights. Conclusion Federated learning holds great promise for legacy healthcare data analytics and intelligence.

Healthcare 133

Healthcare Government Best practices Engineering 133

AWS Machine Learning

AUGUST 22, 2024

Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry. It was built using Amazon Bedrock , a fully managed service from AWS that provides access to foundation models (FMs) from leading AI companies through an API to build and scale generative AI applications.

Engineering 123

Engineering Analytics APIs Government 123

Pointillist

JULY 25, 2018

By Swati Sahai Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics 1.

Analytics 43

Analytics Metrics Government Journey mapping 43

Avaya

SEPTEMBER 29, 2016

The city of the future is a Smart City, emboldened by technology that folds in government, industry, and consumers. 22 Capital Partners’ Smart City Platform, 22 CityLink, uses our foundation to keep pace with the demand for mobile, social, and cloud-based services within the Smart City, from citizens, the government, and industry alike.

Government 79

Government APIs Healthcare Banking 79

AWS Machine Learning

FEBRUARY 24, 2023

In recent years, advances in computer vision have enabled researchers, first responders, and governments to tackle the challenging problem of processing global satellite imagery to understand our planet and our impact on it. OpenSearch Dashboard also enables users to search and run analytics with this dataset.

APIs 104

APIs Benchmark Government Analytics 104

AWS Machine Learning

OCTOBER 19, 2022

R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. Amazon EC2 enables you to scale up or down to handle changes in data size and the necessary compute capacity to run your analytics.

Analytics 97

Analytics APIs Scripts Government 97

AWS Machine Learning

NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.

APIs 113

APIs Management Engineering Enterprise 113

AWS Machine Learning

JUNE 24, 2022

The data is cataloged via the AWS Glue Data Catalog and shared with other users and accounts via AWS Lake Formation (the data governance layer). This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. The following diagram shows this updated architecture.

Enterprise 127

Enterprise Engineering Accountability APIs 127

AWS Machine Learning

NOVEMBER 17, 2022

If the current energy consumption deviates too much from the optimal point, ELC provides an action to adjust internal process variables to optimize energy efficiency based on analytical models. Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC. ELC is hosted in the cloud.

APIs 98

APIs Accountability Metrics Engineering 98

AWS Machine Learning

FEBRUARY 5, 2024

HSR.health is a geospatial health risk analytics firm whose vision is that global health challenges are solvable through human ingenuity and the focused and accurate application of data analytics. This data serves as a fundamental pillar in the analytics framework. Outside of work, Paul is a self-taught DJ and loves snow.

Healthcare 121

Healthcare Engineering Analytics APIs 121

AWS Machine Learning

NOVEMBER 22, 2023

Learn how to utilize your datasets using Amazon SageMaker and Amazon Bedrock as well as popular frameworks like PyTorch with AWS compute, storage, and analytics. Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock. Reserve your seat now!

Engineering 139

Engineering Best practices APIs Government 139

AWS Machine Learning

DECEMBER 21, 2022

Over the years, many table formats have emerged to support ACID transaction, governance, and catalog use cases. Apache Iceberg is an open table format for very large analytic datasets. A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK.

Scripts 94

Scripts Engineering APIs Big data 94

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 98

Scripts Analytics Accountability Engineering 98

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering 133

Engineering Accountability Construction APIs 133