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 116

Management APIs Engineering Metrics 116

Cincom

FEBRUARY 14, 2025

It demands a well-defined framework that integrates automation, pricing governance, and seamless CRM and ERP connectivityall of which are essential for driving predictable revenue and operational efficiency. This article outlines 10 CPQ best practices to help optimize your performance, eliminate inefficiencies, and maximize ROI.

Best practices 40

Best practices Sales CRM Finance 40

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 128

Government Accountability Enterprise Best practices 128

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. In this session, learn best practices for effectively adopting generative AI in your organization. This session covers best practices for a responsible evaluation.

APIs 108

APIs Enterprise Best practices Government 108

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 130

Government APIs Enterprise Best practices 130

AWS Machine Learning

MARCH 14, 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 via a single API. This improves efficiency and allows larger contexts to be used. This supports safer adoption.

Best practices 136

Best practices Engineering Chatbots Enterprise 136

AWS Machine Learning

OCTOBER 2, 2024

This two-part series explores best practices for building generative AI applications using Amazon Bedrock Agents. This data provides a benchmark for expected agent behavior, including the interaction with existing APIs, knowledge bases, and guardrails connected with the agent.

Best practices 99

Best practices APIs Metrics Accountability 99

AWS Machine Learning

APRIL 23, 2025

For more information, see Redacting PII entities with asynchronous jobs (API). The query is then forwarded using a REST API call to an Amazon API Gateway endpoint along with the access tokens in the header. The user query is sent using an API call along with the authentication token through Amazon API Gateway.

APIs 74

APIs Healthcare Enterprise Accountability 74

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 144

SaaS APIs Government Accountability 144

AWS Machine Learning

FEBRUARY 5, 2025

Some links for security best practices are shared below but we strongly recommend reaching out to your account team for detailed guidance and to discuss the appropriate security architecture needed for a secure and compliant deployment. model API exposed by SageMaker JumpStart properly. The Llama 3.1

Chatbots 112

Chatbots Construction Best practices APIs 112

AWS Machine Learning

JULY 10, 2024

AI Service Cards are a form of responsible AI documentation that provide customers with a single place to find information on the intended use cases and limitations, responsible AI design choices, and deployment and performance optimization best practices for our AI services and models.

Government 137

Government Education Best practices Benchmark 137

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 120

APIs Government Enterprise Engineering 120

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

FEBRUARY 25, 2025

Organizations trust Alations platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering innovation at scale. As a security best practice, storing the client application data in Secrets Manager is recommended. Enter an easily identifiable application name, and choose Save.

Enterprise 105

Enterprise Engineering APIs Accountability 105

Momentum Telecom

JANUARY 31, 2025

In addition to these controls, you should limit the use of AI bots to employees who have undergone training on best practices and responsible use. Put strong data governance measures in place Who has access to 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 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. Who does GDPR apply to?

Best practices 132

Best practices APIs Accountability Personalization 132

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 137

APIs Advertising Entertainment Metrics 137

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 130

APIs Construction Engineering Analytics 130

AWS Machine Learning

APRIL 18, 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 with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 130

Scripts Best practices Engineering Accountability 130

aircall

MAY 24, 2021

By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. Organization: structure, governance, roles, etc. 10 Best Practices to Develop a Framework for Digital Transformation.

Best practices 62

Best practices Call Center Analytics Technology 62

AWS Machine Learning

OCTOBER 3, 2024

In this post, we describe how Aviva built a fully serverless MLOps platform based on the AWS Enterprise MLOps Framework and Amazon SageMaker to integrate DevOps best practices into the ML lifecycle. We illustrate the entire setup of the MLOps platform using a real-world use case that Aviva has adopted as its first ML use case.

APIs 95

APIs Construction Engineering Accountability 95

AWS Machine Learning

FEBRUARY 10, 2025

SageMaker AI empowers you to build, train, deploy, monitor, and govern ML and generative AI models through an extensive range of services, including notebooks, jobs, hosting, experiment tracking, a curated model hub, and MLOps features, all within a unified integrated development environment (IDE).

Enterprise 116

Enterprise Engineering APIs Chatbots 116

AWS Machine Learning

JANUARY 13, 2023

Standardize building and reuse of AI solutions across business functions and AI practitioners’ personas, while ensuring adherence to enterprise best practices: Automate and standardize the repetitive undifferentiated engineering effort. Secure and govern all capabilities as per TR’s enterprise standards. The challenges.

Government 98

Government Engineering Enterprise APIs 98

AWS Machine Learning

SEPTEMBER 14, 2023

Integrating security in our workflow Following the best practices of the Security Pillar of the Well-Architected Framework , Amazon Cognito is used for authentication. Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito. 2xlarge 676.8

APIs 124

APIs Healthcare Scripts Engineering 124

AWS Machine Learning

SEPTEMBER 9, 2024

It does this with natural language conversation, contextual and personalized insights with narrative and visual responses, and robust security and governance for a guided risk control experience. Amazon Bedrock offers a single API for inference, which facilitates secure communication between users and the FM. experience.

APIs 122

APIs Engineering Telecommunications Enterprise 122

AWS Machine Learning

APRIL 22, 2024

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. Throughout this lifecycle, implementing AWS Well-Architected Framework best practices is recommended. A Gartner, Inc. Figure 7: The generative AI lifecycle 11.

Best practices 140

Best practices Benchmark Transportation Engineering 140

AWS Machine Learning

MAY 8, 2023

It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. Now let’s dive deeper into the details. Adds an IAM authorizer.

APIs 97

APIs Government Accountability Scripts 97

AWS Machine Learning

NOVEMBER 30, 2022

Governance – Processes to define, implement and enforce responsible AI practices within an organization. They are part of a comprehensive development process we undertake to build our services in a responsible way that addresses fairness and bias, explainability, robustness, governance, transparency, privacy, and security.

Government 98

Government Best practices APIs Education 98

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 52

Government Accountability Enterprise Best practices 52

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 100

Self service APIs Management Accountability 100

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 127

Healthcare Government Engineering APIs 127

AWS Machine Learning

JULY 29, 2022

This is mainly targeting the data steward persona, who is responsible for streamlining and standardizing the process of sharing data between data producers and consumers and ensuring compliance with data governance rules. Allow the consumer banking LoB to share data products into the central governance layer.

Government 101

Government Banking Analytics Accountability 101

AWS Machine Learning

SEPTEMBER 29, 2022

Without proper cost management and governance, your ML spend may lead to surprises in your monthly AWS bill. In this post, we share tips and best practices regarding cost allocation for your SageMaker environment and workloads. To tag existing domains and users, use the add-tags API.

Enterprise 97

Enterprise APIs Government Accountability 97

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 118

Scripts APIs Government Analytics 118

AWS Machine Learning

NOVEMBER 22, 2023

Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. In this talk, explore strategies for putting your proprietary datasets to work when building unique, differentiated generative AI solutions.

Engineering 138

Engineering Best practices APIs Government 138

AWS Machine Learning

NOVEMBER 22, 2023

By using the Framework, you will learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS.

Best practices 119

Best practices Metrics Feedback Enterprise 119

AWS Machine Learning

OCTOBER 14, 2024

Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. The App calls the Claims API Gateway API to run the claims proxy passing user requests and tokens. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs 97

APIs Construction Government Big data 97