AWS Machine Learning

DECEMBER 2, 2024

Use faster auto scaling metrics – Take advantage of more granular auto scaling metrics like ConcurrentRequestsPerCopy to more accurately monitor and react to changes in inference traffic. It’s a dynamic policy that adjusts the number of copies based on a specified metric, such as CPU utilization or request count.

APIs 87

APIs Best practices Metrics Engineering 87

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 108

APIs Call flow Accountability Technology 108

AWS Machine Learning

MARCH 27, 2025

Where discrete outcomes with labeled data exist, standard ML methods such as precision, recall, or other classic ML metrics can be used. These metrics provide high precision but are limited to specific use cases due to limited ground truth data. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 94

Education Engineering APIs Enterprise 94

AWS Machine Learning

APRIL 10, 2025

The following are key capabilities of Pixtral Large: Multilingual Text Analysis Pixtral Large accurately interprets and extracts written information across multiple languages from images and documents. By choosing View API , you can also access the model using code examples in the AWS Command Line Interface (AWS CLI) and AWS SDKs.

APIs 83

APIs Management Marketing Engineering 83

AWS Machine Learning

MARCH 3, 2025

Performance metrics and benchmarks Pixtral 12B is trained to understand both natural images and documents, achieving 52.5% You can find detailed usage instructions, including sample API calls and code snippets for integration. To begin using Pixtral 12B, choose Deploy. Analyse these images and answer below questions: 1.

Benchmark 84

Benchmark APIs Enterprise Construction 84

AWS Machine Learning

APRIL 10, 2025

Fine-tune an Amazon Nova model using the Amazon Bedrock API In this section, we provide detailed walkthroughs on fine-tuning and hosting customized Amazon Nova models using Amazon Bedrock. We first provided a detailed walkthrough on how to fine-tune, host, and conduct inference with customized Amazon Nova through the Amazon Bedrock API.

APIs 98

APIs Metrics Best practices Construction 98

AWS Machine Learning

OCTOBER 16, 2024

The transcriptions in OpenSearch are then further enriched with these custom ML models to perform components identification and provide valuable insights such as named entity recognition, speaker role identification, sentiment analysis, and personally identifiable information (PII) redaction.

Customer Service 72

Customer Service Scripts Coaching Finance 72

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 80

APIs Healthcare Consulting Consulting 80

AWS Machine Learning

JANUARY 28, 2025

To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics differ between streaming and nonstreaming modes and understanding them is crucial for building responsive AI applications.

Benchmark 68

Benchmark APIs Engineering Metrics 68

AWS Machine Learning

OCTOBER 9, 2024

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required.

Metrics 78

Metrics APIs Engineering Accountability 78

AWS Machine Learning

NOVEMBER 13, 2024

The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

Engineering 103

Engineering Management APIs Healthcare 103

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 99

APIs Chatbots Construction Engineering 99

AWS Machine Learning

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Metrics 86

Metrics Best practices Engineering APIs 86

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 70

APIs Scripts Metrics Surveys 70

AWS Machine Learning

FEBRUARY 7, 2025

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails.

Entertainment 72

Entertainment APIs Technology Feedback 72

AWS Machine Learning

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data.

Enterprise 100

Enterprise APIs Metrics Engineering 100

AWS Machine Learning

JUNE 5, 2024

You train the model using semi-structured documents, which includes the following document types such as digital and scanned PDF documents and Word documents; Images sunch as JPG files, PNG files, and single-page TIFF files and Amazon Textract API output JSON files.

APIs 98

APIs Metrics Accountability Enterprise 98

AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab.

Metrics 86

Metrics Engineering Accountability Telecommunications 86

AWS Machine Learning

MAY 7, 2024

Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The solution runs Amazon Rekognition APIs for label detection , text detection, celebrity detection , and face detection on videos. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 117

APIs Advertising Entertainment Metrics 117

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 121

APIs Engineering Metrics Management 121

Balto

JANUARY 6, 2025

Zoho Desk Zoho Desk is a cloud-based QA platform that enables call centers to manage customer support tickets, customer satisfaction analysis tools, and advanced agent scoring techniques. Text Analysis: Use Qualtrics text analysis capabilities to get deeper insights about survey responses.

Call Center 52

Call Center Coaching Surveys Contact Center 52

AWS Machine Learning

NOVEMBER 19, 2024

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. Discover how to create and manage evaluation jobs, use automatic and human reviews, and analyze critical metrics like accuracy, robustness, and toxicity.

APIs 82

APIs Enterprise Best practices Government 82

ChurnZero

MARCH 18, 2022

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

SaaS 98

SaaS Metrics Surveys Enterprise 98

Balto

MARCH 17, 2025

Defining Call Center Analytics Call center analytics refers to the collection, measurement, and analysis of call center data to improve performance and customer experience. Its not just about tracking basic metrics anymoreits about gaining comprehensive insights that drive strategic decisions. The magic happens at FCR rates above 75%.

Call Center 52

Call Center Customer Experience Average Handle Time Analytics 52

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 118

Real estate APIs Metrics Construction 118

AWS Machine Learning

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral 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.

Government 108

Government APIs Enterprise Best practices 108

AWS Machine Learning

JANUARY 5, 2024

Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.

Management 123

Management APIs Engineering Government 123

AWS Machine Learning

SEPTEMBER 12, 2023

Email classification project diagram The workflow consists of the following components: Model experimentation – Data scientists use Amazon SageMaker Studio to carry out the first steps in the data science lifecycle: exploratory data analysis (EDA), data cleaning and preparation, and building prototype models.

Management 109

Management APIs CRM Metrics 109

AWS Machine Learning

NOVEMBER 24, 2023

SageMaker Canvas now collects Amazon CloudWatch metrics that provide insight into app usage and idleness. All that is needed to do is change the line of code calling the DeleteApp API into CreateApp , as well as updating the cron expression to reflect the desired app creation time. 7PM on a work day, always shut down during weekends).

APIs 104

APIs Metrics Engineering Scripts 104

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

CSM Magazine

JANUARY 3, 2025

AI-Driven Features Advanced features such as sentiment analysis, automation, and scalability enhance the tools effectiveness. Sentiment analysis helps in understanding customer emotions, while automation ensures swift handling of repetitive tasks.

Customer Support 52

Customer Support Chatbots CRM SaaS 52

AWS Machine Learning

MARCH 22, 2023

After Amazon Rekognition begins training from your image set, it produces a custom image analysis model for you in just a few hours. Behind the scenes, Rekognition Custom Labels automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics.

APIs 85

APIs Metrics Engineering Feedback 85

AWS Machine Learning

NOVEMBER 21, 2023

The LAYOUT feature of AnalyzeDocument API can now detect up to ten different layout elements in a document’s page. It is important to note that layout elements appear in the correct reading order in the API response as the reading order in the document, which makes it easy to construct the layout text from the API’s JSON response.

APIs 98

APIs Construction Metrics Education 98

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. Sentiment Analysis Understanding customer sentiment is crucial for gauging the effectiveness of CX initiatives and identifying areas for improvement.

Customer Experience 52

Customer Experience CRM Contact Center APIs 52

AWS Machine Learning

JANUARY 29, 2025

Each LOB performs monitoring and auditing of their configured Amazon Bedrock services within their account, using Amazon CloudWatch Logs and AWS CloudTrail for log capture, analysis, and auditing tailored to their needs. Amazon Bedrock cost and usage will be recorded in each LOBs AWS accounts. There are two types of inference profiles.

Enterprise 76

Enterprise Government Accountability Finance 76

AWS Machine Learning

MAY 1, 2024

Validation loss and validation perplexity – Similar to the training metrics, but measured during the validation stage. Assistant: There are ethical concerns associated with using Fraudoscope, as it involves the collection and analysis of personal physiological data. Lower perplexity suggests higher model confidence.

APIs 114

APIs SaaS Accountability Education 114

AWS Machine Learning

SEPTEMBER 9, 2024

This can democratize data access and speed up analysis. Domo’s existing solution already enables these organizations to extract valuable insights through data visualization and analysis. simplifies data exploration and analysis by intelligently guiding you at every turn, from data preparation to forecasting to automation.

APIs 104

APIs Engineering Telecommunications Enterprise 104