AWS Machine Learning

MARCH 27, 2025

Importantly, cross-Region inference prioritizes the connected Amazon Bedrock API source Region when possible, helping minimize latency and improve overall responsiveness. This will update the landing zone Region deny settings ( GRREGIONDENY ) to include the Region us-east-2 to govern the Region. MULTISERVICE.PV.1

Accountability 94

Accountability Government APIs Enterprise 94

AWS Machine Learning

JULY 31, 2024

The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.

APIs 122

APIs Banking Best practices Engineering 122

AWS Machine Learning

DECEMBER 18, 2024

Use natural language in your Amazon Q web experience chat to perform read and write actions in ServiceNow such as querying and creating incidents and KB articles in a secure and governed fashion. This involves creating an OAuth API endpoint in ServiceNow and using the web experience URL from Amazon Q Business as the callback URL.

APIs 79

APIs Enterprise Accountability Government 79

AWS Machine Learning

AUGUST 31, 2023

The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.

Government 114

Government Accountability Enterprise Best practices 114

AWS Machine Learning

AUGUST 9, 2024

This post provides an overview of a custom solution developed by the AWS Generative AI Innovation Center (GenAIIC) for Deltek , a globally recognized standard for project-based businesses in both government contracting and professional services. Deltek serves over 30,000 clients with industry-specific software and information solutions.

Government 124

Government Healthcare Construction Engineering 124

AWS Machine Learning

JANUARY 28, 2025

Using SageMaker with MLflow to track experiments The fully managed MLflow capability on SageMaker is built around three core components: MLflow tracking server This component can be quickly set up through the Amazon SageMaker Studio interface or using the API for more granular configurations.

Management 99

Management APIs Engineering Metrics 99

CCNG

MAY 17, 2023

To work in a customer service environment ChatGPT will always need a well-managed Knowledge Management system for it to retrieve its answers from that allows them to govern the information and have full control of the narrative. Set the foundation for success with a system that delivers answers to customers through any channel.

Customer Service 195

Customer Service CCNG Government Chatbots 195

AWS Machine Learning

JANUARY 29, 2025

Large organizations often have many business units with multiple lines of business (LOBs), with a central governing entity, and typically use AWS Organizations with an Amazon Web Services (AWS) multi-account strategy. Failure to scale the team can negate the governance benefits of a centralized approach.

Enterprise 83

Enterprise Government Accountability Finance 83

Nexmo

MAY 7, 2019

Partly, that’s code they write themselves but what makes modern software development so effective is that developers can easily build on the work of others through APIs. When you think of APIs it’s likely that some big names come to mind: Nexmo, the Vonage API platform; Stripe for payments; or one of the new Open Banking APIs.

APIs 78

APIs Airlines Banking Government 78

AWS Machine Learning

DECEMBER 1, 2022

Overview of model governance. Model governance is a framework that gives systematic visibility into model development, validation, and usage. Model governance is applicable across the end-to-end ML workflow, starting from identifying the ML use case to ongoing monitoring of a deployed model through alerts, reports, and dashboards.

Government 93

Government Metrics APIs Engineering 93

AWS Machine Learning

FEBRUARY 9, 2024

IT teams are responsible for helping the LOB innovate with speed and agility while providing centralized governance and observability. A software as a service (SaaS) layer for foundation models can provide a simple and consistent interface for end-users, while maintaining centralized governance of access and consumption.

SaaS 141

SaaS APIs Government Accountability 141

AWS Machine Learning

OCTOBER 29, 2024

This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker. Configure centralized logging to API calls across multiple accounts using CloudTrail.

Government 95

Government Metrics Accountability APIs 95

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 118

Government APIs Enterprise Best practices 118

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 84

APIs Healthcare Consulting Consulting 84

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 115

Chatbots Engineering Enterprise Government 115

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. We also introduce a logical construct of a shared services account that plays a key role in governance, administration, and orchestration.

APIs 83

APIs Accountability Scripts Enterprise 83

AWS Machine Learning

NOVEMBER 19, 2024

Plus, learn how to evolve from data aggregation to data semantics to support data-driven applications while maintaining flexibility and governance. Learn about Amazon SageMaker tooling for model governance, bias, explainability, and monitoring, and about transparency in the form of service cards as potential risk mitigation strategies.

APIs 91

APIs Enterprise Best practices Government 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 117

APIs Government Enterprise Engineering 117

AWS Machine Learning

FEBRUARY 21, 2025

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.

Engineering 114

Engineering APIs Analytics Enterprise 114

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 80

Customer Service Scripts Coaching Finance 80

AWS Machine Learning

DECEMBER 11, 2024

This includes how we configured data sources that comprise our knowledge base, indexing documents and relevancy tuning , security (authentication, authorization, and guardrails ), and Amazon Qs APIs for conversation management and custom plugins.

Sales 95

Sales Accountability APIs CRM 95

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 110

APIs Government Engineering Telecommunications 110

AWS Machine Learning

JULY 10, 2024

We’ve created more than 10 AI Service Cards thus far to deliver transparency for our customers as part of our comprehensive development process that addresses fairness, explainability, veracity and robustness, governance, transparency, privacy and security, safety, and controllability.

Government 124

Government Education Best practices APIs 124

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 130

APIs Finance Chatbots Enterprise 130

ShepHyken

DECEMBER 13, 2019

Who will be responsible if government regulations are violated? Consider the number of critical APIs that are embedded. Double the APIs – quadruple your problems! “Find a way to quantify and qualify how well it really works.”. Potential risks and liabilities. What will happen if unforeseen costs are encountered?

APIs 195

APIs Enterprise Government Customer Experience 195

AWS Machine Learning

MAY 7, 2024

With a decade of enterprise AI experience, Veritone supports the public sector, working with US federal government agencies, state and local government, law enforcement agencies, and legal organizations to automate and simplify evidence management, redaction, person-of-interest tracking, and eDiscovery.

APIs 127

APIs Advertising Entertainment Metrics 127

Momentum Telecom

JANUARY 31, 2025

Put strong data governance measures in place Who has access to your data? Encrypt and secure your information Governance isn’t the only thing to consider when creating policies for managing your data. How can they access it? What authentication measures are in place to prevent unauthorized access?

Government 59

Government Education Enterprise APIs 59

AWS Machine Learning

MAY 9, 2024

Data governance – With a wide variety of users accessing the platform and with different users having access to different data, data governance and isolation was paramount. First, they used the Amazon Kendra Retrieve API to get multiple relevant passages and excerpts based on keyword search.

Engineering 130

Engineering Customer Support APIs Government 130

AWS Machine Learning

APRIL 30, 2024

Transcribe Call Analytics is a generative AI-powered API for generating highly accurate call transcripts and extracting conversation insights to improve customer experience, agent productivity, and supervisor productivity. Simply turn the feature on from the Amazon Transcribe console or using the start_call_analytics_job API.

Analytics 116

Analytics APIs Customer Service Entertainment 116

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. This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture.

Government 125

Government APIs industry solution Education 125

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 122

APIs Construction Engineering Analytics 122

AWS Machine Learning

FEBRUARY 25, 2025

Organizations trust Alations platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering innovation at scale. 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 87

Enterprise Engineering APIs Accountability 87

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

FEBRUARY 10, 2025

This layer encapsulates the logic required to interact with the AWS AI services to manage API calls, data formatting, and error handling. PII extraction and redaction : Identifying and managing PII within large datasets is crucial for data governance and compliance.

Enterprise 68

Enterprise APIs Government Healthcare 68

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 131

Management APIs Engineering Government 131

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 130

APIs Engineering Metrics Management 130

AWS Machine Learning

MARCH 4, 2024

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

Feedback 122

Feedback APIs Engineering Surveys 122