AWS Machine Learning

FEBRUARY 12, 2025

This approach allows organizations to assess their AI models effectiveness using pre-defined metrics, making sure that the technology aligns with their specific needs and objectives. Curated judge models : Amazon Bedrock provides pre-selected, high-quality evaluation models with optimized prompt engineering for accurate assessments.

Metrics 94

Metrics Engineering APIs Benchmark 94

AWS Machine Learning

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. Evaluation algorithm Computes evaluation metrics to model outputs. Different algorithms have different metrics to be specified.

Management 105

Management APIs Engineering Metrics 105

AWS Machine Learning

OCTOBER 28, 2024

Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. A preprocessor script is a capability of SageMaker Model Monitor to preprocess SageMaker endpoint data capture before creating metrics for model quality.

Scripts 109

Scripts Metrics Engineering Analytics 109

AWS Machine Learning

DECEMBER 3, 2024

The challenge: Resolving application problems before they impact customers New Relic’s 2024 Observability Forecast highlights three key operational challenges: Tool and context switching – Engineers use multiple monitoring tools, support desks, and documentation systems. New Relic AI conducts a comprehensive analysis of the checkout service.

Customer Experience 105

Customer Experience Engineering Enterprise Benchmark 105

Beyond Philosophy

MAY 28, 2020

Sutherland says that if you play by the same rules as everybody else and become obsessed with comparison, you will use the same metrics as your competitors. Sutherland refers to the book Blue Ocean Strategy, which says the point of differentiation is to develop better metrics than your competitors. Apple’s was subjective.

Metrics 371

Metrics Engineering Consulting Consulting 371

AWS Machine Learning

DECEMBER 9, 2024

However, keeping track of numerous experiments, their parameters, metrics, and results can be difficult, especially when working on complex projects simultaneously. SageMaker is a comprehensive, fully managed ML service designed to provide data scientists and ML engineers with the tools they need to handle the entire ML workflow.

Metrics 96

Metrics APIs Engineering Accountability 96

AWS Machine Learning

NOVEMBER 15, 2024

Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. As an early adopter of Amazon Q Business, engineers from Principal worked directly with the Amazon Q Business team to validate updates and new features.

Chatbots 114

Chatbots Engineering Enterprise Government 114

AWS Machine Learning

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes. The following screenshot shows the results.

Engineering 129

Engineering Accountability Education Metrics 129

AWS Machine Learning

NOVEMBER 15, 2024

For automatic model evaluation jobs, you can either use built-in datasets across three predefined metrics (accuracy, robustness, toxicity) or bring your own datasets. Regular evaluations allow you to adjust and steer the AI’s behavior based on feedback and performance metrics.

APIs 110

APIs Government Best practices Metrics 110

AWS Machine Learning

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

Engineering 114

Engineering APIs Automotive Entertainment 114

AWS Machine Learning

JANUARY 7, 2025

The solution proposed in this post relies on LLMs context learning capabilities and prompt engineering. Also note the completion metrics on the left pane, displaying latency, input/output tokens, and quality scores. It enables you to use an off-the-shelf model as is without involving machine learning operations (MLOps) activity.

Engineering 108

Engineering Metrics industry standards Finance 108

Calabrio

FEBRUARY 27, 2025

Workforce Management 2025 Call Center Productivity Guide: Must-Have Metrics and Key Success Strategies Share Achieving maximum call center productivity is anything but simple. Revenue per Agent: This metric measures the revenue generated by each agent. For many leaders, it might often feel like a high-wire act.

Call Center 52

Call Center Metrics Gamification Contact Center 52

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 91

Metrics APIs Engineering Accountability 91

AWS Machine Learning

NOVEMBER 26, 2024

Datadog is excited to launch its Neuron integration , which pulls metrics collected by the Neuron SDK’s Neuron Monitor tool into Datadog, enabling you to track the performance of your Trainium and Inferentia based instances. Anuj Sharma is a Principal Solution Architect at Amazon Web Services.

Metrics 107

Metrics Engineering Sales Marketing 107

TechSee

FEBRUARY 10, 2025

Check out how Sophie AI’s cognitive engine orchestrates smart interactions using a multi-layered approach to AI reasoning. This is what AI-driven customer service delivers—efficiency, improved CX metrics like NPS and CSAT, and real ROI to satisfy executive stakeholders. ” Curious how it works?

Customer Service 124

Customer Service Average Handle Time Telecommunications Chatbots 124

AWS Machine Learning

MARCH 6, 2025

Current RAG pipelines frequently employ similarity-based metrics such as ROUGE , BLEU , and BERTScore to assess the quality of the generated responses, which is essential for refining and enhancing the models capabilities. More sophisticated metrics are needed to evaluate factual alignment and accuracy.

Metrics 86

Metrics Enterprise APIs Engineering 86

AWS Machine Learning

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Yanyan graduated from Texas A&M University with a PhD in Electrical Engineering. Outside of work, she loves traveling, working out, and exploring new things.

Best practices 111

Best practices Feedback Metrics APIs 111

AWS Machine Learning

MAY 9, 2024

Verisk has embraced this technology and has developed their own Instant Insight Engine, or AI companion, that provides an enhanced self-service capability to their FAST platform. Coming from a software development and sales engineering background, the possibilities that the cloud can bring to the world excite him.

Engineering 130

Engineering Customer Support APIs Government 130

AWS Machine Learning

FEBRUARY 21, 2025

Compound AI system and the DSPy framework With the rise of generative AI, scientists and engineers face a much more complex scenario to develop and maintain AI solutions, compared to classic predictive AI. DSPy supports iteratively optimizing all prompts involved against defined metrics for the end-to-end compound AI solution.

Benchmark 86

Benchmark Metrics Engineering Feedback 86

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. Haiku and Metas Llama 3.1 70B models.

Benchmark 72

Benchmark APIs Engineering Metrics 72

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 82

Metrics Best practices Engineering APIs 82

AWS Machine Learning

MARCH 27, 2025

This requirement translates into time and effort investment of trained personnel, who could be support engineers or other technical staff, to review tens of thousands of support cases to arrive at an even distribution of 3,000 per category. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 92

Education Engineering APIs Enterprise 92

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. Because the solution doesnt require domain-specific knowledge, it even allows engineers of different disciplines and levels of expertise to resolve issues.

APIs 70

APIs Engineering Metrics Big data 70

AWS Machine Learning

MAY 5, 2023

To address the problems associated with complex searches, this post describes in detail how you can achieve a search engine that is capable of searching for complex images by integrating Amazon Kendra and Amazon Rekognition. Users may have to manually filter out unsuitable image results when dealing with complex searches.

Engineering 104

Engineering APIs Scripts Enterprise 104

AWS Machine Learning

MARCH 25, 2025

The ability to quickly retrieve and analyze session data empowers developers to optimize their applications based on actual usage patterns and performance metrics. Jagdeep has 15 years of experience in innovation, experience engineering, digital transformation, cloud architecture and ML applications.

APIs 99

APIs Management Government Healthcare 99

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. The F1 score provides a balanced evaluation of the model’s performance.

Metrics 97

Metrics Engineering Accountability Telecommunications 97

Beyond Philosophy

MAY 23, 2020

Sutherland says that when you worry about the same things as the competition and run the same metrics for success, you are essentially becoming the same business. Sutherland describes it as a financial engineering, Newtonian-reductionist mindset. Let’s take a closer look at the few we asked him about and what he had to say.

Advertising 258

Advertising Engineering Consulting Consulting 258

AWS Machine Learning

MARCH 25, 2025

Automated safety guards Integrated Amazon CloudWatch alarms monitor metrics on an inference component. AlarmName This CloudWatch alarm is configured to monitor metrics on an InferenceComponent. Andrew Smith is a Cloud Support Engineer in the SageMaker, Vision & Other team at AWS, based in Sydney, Australia.

APIs 86

APIs Engineering Accountability Metrics 86

Callminer

FEBRUARY 4, 2021

Now more than ever, organizations need to actively manage the Average-Speed-of-Answer (ASA) metric. Older citizens, the unhealthy, and those in low-income areas have always been targets for social engineering. Despite the pandemic, customers have retained the expectation that if they call you, you’ll be there for them.

Call Center 345

Call Center Contact Center Finance Consulting 345

AWS Machine Learning

FEBRUARY 5, 2025

Previously, OfferUps search engine was built with Elasticsearch (v7.10) on Amazon Elastic Compute Cloud (Amazon EC2), using a keyword search algorithm to find relevant listings. The following diagram illustrates the data pipeline for indexing and query in the foundational search architecture.

Engineering 79

Engineering Metrics Analytics Marketing 79

AWS Machine Learning

SEPTEMBER 6, 2024

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

Best practices 92

Best practices Metrics Sales Benchmark 92

CX Global Media

OCTOBER 15, 2018

More specifically, they must re-engineer not as a set of training events that are delivered at a certain time and in certain places, but instead incorporate learning and development directly and continuously into the daily activities of work. Know Your Metrics. Use a Digital Mindset.

Contact Center 269

Contact Center Morale Call Center Metrics 269

AWS Machine Learning

MARCH 11, 2025

How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics? Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics. How well do these models handle RAG use cases across different industry domains? Each provisioned node was r7g.4xlarge,

Benchmark 94

Benchmark APIs Enterprise Scripts 94

AWS Machine Learning

NOVEMBER 14, 2024

It enables you to privately customize the FM of your choice with your data using techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) and build agents that run tasks using your enterprise systems and data sources while adhering to security and privacy requirements.

APIs 110

APIs Engineering Personalization Transportation 110

Helpware

JUNE 4, 2024

Measuring and tracking development efficiency has been an ongoing topic of debate and one of the most difficult parts of any engineering manager’s job. As much as at its core programming revolves around 1's and 0's, quantifying the performance of development teams is a far more complicated story than one number can tell.

Metrics 79

Metrics Engineering 79