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 89

Management APIs Engineering Metrics 89

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 76

Enterprise Government Accountability Finance 76

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 104

Government Accountability Enterprise Best practices 104

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 108

Government APIs Enterprise Best practices 108

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 118

Best practices Engineering Chatbots Enterprise 118

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 89

Best practices APIs Metrics Accountability 89

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 82

APIs Enterprise Best practices Government 82

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 136

SaaS APIs Government Accountability 136

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 109

APIs Government Enterprise Engineering 109

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 129

APIs Enterprise Best practices Government 129

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 115

Government Education Best practices Benchmark 115

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

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 86

Chatbots Construction Best practices APIs 86

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 120

Best practices APIs Accountability Personalization 120

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 117

Scripts Best practices Engineering Accountability 117

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

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 79

Enterprise Engineering APIs Accountability 79

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 117

APIs Advertising Entertainment Metrics 117

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 112

APIs Construction Engineering Analytics 112

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 123

Best practices Benchmark Transportation Engineering 123

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

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 80

APIs Construction Engineering Accountability 80

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 107

APIs Healthcare Scripts Engineering 107

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 104

APIs Engineering Telecommunications Enterprise 104

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 80

Government Engineering Enterprise APIs 80

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 89

Enterprise Engineering APIs Chatbots 89

AWS Machine Learning

OCTOBER 27, 2022

With environmental, social, and governance (ESG) initiatives becoming more important for companies, our customer, one of Greater China region’s top convenience store chains, has been seeking a solution to reduce food waste (currently over $3.5 We use the AutoPredictor API, which is also accessible through the Forecast console.

APIs 98

APIs Best practices Metrics Government 98

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 78

Government Best practices APIs Education 78

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 76

APIs Government Accountability Scripts 76

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 107

Scripts APIs Government Analytics 107

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 123

Engineering Best practices APIs Government 123

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 84

Government Banking Analytics Accountability 84

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 101

Healthcare Government Engineering APIs 101

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. At-scale, real-time image recognition is a complex technical problem that also requires the implementation of MLOps.

Engineering 106

Engineering APIs Scripts Entertainment 106

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. 3rd Party APIs: Pointillist has a large number of connectors using 3rd party APIs. Governance. Raw data can be sent directly to Pointillist without requiring aggregations or roll-ups of any kind. To Summarize.

Analytics 93

Analytics Government Metrics APIs 93

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 77

Self service APIs Management Accountability 77

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 76

Enterprise APIs Government Accountability 76