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. Consolidate metrics across source accounts and build unified dashboards.

Government 100

Government Metrics Accountability APIs 100

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 123

Government APIs Enterprise Best practices 123

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 87

Enterprise Government Accountability Finance 87

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 96

Government Metrics APIs Engineering 96

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 88

APIs Healthcare Consulting Consulting 88

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. Gain insights into training strategies, productivity metrics, and real-world use cases to empower your developers to harness the full potential of this game-changing technology.

APIs 95

APIs Enterprise Best practices Government 95

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 84

Customer Service Scripts Coaching Finance 84

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 121

APIs Government Enterprise Engineering 121

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 130

APIs Advertising Entertainment Metrics 130

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 126

APIs Construction Engineering Analytics 126

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 133

APIs Engineering Metrics Management 133

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 138

APIs Enterprise Best practices Government 138

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. Amazon Q Business only provides metric information that you can use to monitor your data source sync jobs. secrets_manager_client = boto3.client('secretsmanager')

Enterprise 92

Enterprise Engineering APIs Accountability 92

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 134

Management APIs Engineering Government 134

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 133

Engineering Customer Support APIs Government 133

AWS Machine Learning

FEBRUARY 5, 2025

Retrieval and Execution Rails: These govern how the AI interacts with external tools and data sources. By leveraging SageMaker JumpStart, you can quickly evaluate and select suitable foundation models based on quality, alignment and reasoning metrics. model API exposed by SageMaker JumpStart properly. The Llama 3.1

Chatbots 99

Chatbots Construction Best practices APIs 99

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

JANUARY 13, 2023

Ensure the required isolation and control of sensitive data according to common governance standards. We also share how TR enabled monitoring and governance for ML models created across different business units with a single pane of glass. Secure and govern all capabilities as per TR’s enterprise standards. The challenges.

Government 91

Government Engineering Enterprise APIs 91

AWS Machine Learning

DECEMBER 5, 2022

Then we dive into the two key metrics used to evaluate a biometric system’s accuracy: the false match rate (also known as false acceptance rate) and false non-match rate (also known as false rejection rate). We use FMR and FNMR as our two key metrics to evaluate facial biometric systems. False non-match rate. Conclusion.

Metrics 84

Metrics Best practices Banking APIs 84

AWS Machine Learning

JUNE 25, 2024

A new automatic dashboard for Amazon Bedrock was added to provide insights into key metrics for Amazon Bedrock models. From here you can gain centralized visibility and insights to key metrics such as latency and invocation metrics. Optionally, you can select a specific model to isolate the metrics to one model.

Metrics 121

Metrics APIs Government Big data 121

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 118

APIs Engineering Telecommunications Enterprise 118

Pointillist

JULY 25, 2018

Success Metrics for the Team. Ultimately, the biggest success metric for the Champion is to be able to show the Executive Sponsor and key Stakeholders that real business value has been gained through the use of customer journey analytics. Success Metrics for the Project. Success Metrics for the Business. Churn Rate.

Analytics 93

Analytics Government Metrics APIs 93

AWS Machine Learning

FEBRUARY 10, 2025

The deployment of agentic systems should focus on well-defined processes with clear success metrics and where there is potential for greater flexibility and less brittleness in process management. You can deploy or fine-tune models through an intuitive UI or APIs, providing flexibility for all skill levels.

Enterprise 103

Enterprise Engineering APIs Chatbots 103

AWS Machine Learning

FEBRUARY 25, 2025

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

Chatbots 75

Chatbots Engineering Automotive Metrics 75

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. This step produces an expanded report containing the model’s metrics.

Engineering 117

Engineering APIs Scripts Entertainment 117

AWS Machine Learning

NOVEMBER 17, 2022

Their production segment is therefore an integral building block for delivering on their mission—with a clearly stated ambition to become world-leading on metrics such as safety, environmental footprint, quality, and production costs. Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC.

APIs 98

APIs Accountability Metrics Engineering 98

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 86

APIs Government Accountability Scripts 86

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. Next, we present the key metrics used for evaluating the model performance along with the evaluation of our final models. While lower precision leads to wasted human effort.

Government 109

Government Metrics Analytics Technology 109

Calabrio

FEBRUARY 25, 2025

A customer journey or interaction analytics platform may collect and analyze aspects of customer interactions to offer insights on how to improve key service or sales metrics. Real-Time Dashboards and Reporting: Monitor key metrics and track performance within intuitive dashboards.

Customer Experience 52

Customer Experience CRM Contact Center APIs 52

AWS Machine Learning

SEPTEMBER 27, 2022

In addition to viewing the default service quotas, you can now view your account’s applied custom quotas for a specific Region, view your historical utilization metrics per applied quota, set up alarms to notify when utilization approaches a threshold, and add tags to your quotas for easier organization. Synchronous Operations. US East (N.

Self service 89

Self service APIs Management Accountability 89

AWS Machine Learning

APRIL 17, 2023

To help you build the right expectation of model performance, besides model AUC, Amazon Fraud Detector also reports uncertainty range metrics. The following table defines these metrics. To update the event label call the update_event_label API: import boto3 def update_event_label(event, context): fraudDetector = boto3.client('frauddetector')

APIs 89

APIs Government Metrics Engineering 89

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. Valid government-issued ID (driver’s license, passport, etc.)

Best practices 99

Best practices APIs Metrics Accountability 99

AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing 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.

APIs 121

APIs Call flow Accountability Technology 121

AWS Machine Learning

SEPTEMBER 14, 2023

Governance and policy enforcement – Setting up document categorization rules helps to ensure that documents are classified correctly according to an organization’s policies and governance standards. Subsequently, this function checks the status of the training job by invoking describe_document_classifier API.

APIs 121

APIs Government Accountability Engineering 121

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. Only users who have the logs: Unmask IAM permission can view unmasked data.

Best practices 131

Best practices APIs Accountability Personalization 131

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 115

Healthcare Government Engineering APIs 115

AWS Machine Learning

JULY 30, 2024

The response from API calls are displayed to the end-user. Use metadata to assign values to index attributes for sorting, filtering, and faceting your search results, or to specify access control lists to govern access to the files. The Mediasearch indexer finds and transcribes audio and video files stored in an S3 bucket.

APIs 109

APIs Accountability Management Entertainment 109