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

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. Evaluation, on the other hand, involves assessing the quality and relevance of the generated outputs, enabling continual improvement.

Best practices 111

Best practices Feedback Metrics APIs 111

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

REVE Chat Blog

MARCH 18, 2020

Building a good chatbot is a daunting task but at the same time, it is important to understand the key chatbot metrics and how they are performing to achieve your goals. A simple way to judge its efficacy is through chatbot analytics, which can help you to measure the performance in relation to a predefined objective.

Chatbots 81

Chatbots Metrics Analytics Banking 81

AWS Machine Learning

MAY 9, 2024

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses.

Engineering 130

Engineering Customer Support APIs Government 130

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

MAY 3, 2023

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

Engineering 93

Engineering Metrics APIs Big data 93

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

DECEMBER 19, 2023

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.

Analytics 130

Analytics Engineering Government Best practices 130

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

Callminer

FEBRUARY 4, 2021

Firstly, contact centers can make use of call analytics software to analyze past call recordings and use them to train agents how to identify vulnerable customers. Now more than ever, organizations need to actively manage the Average-Speed-of-Answer (ASA) metric. Second, inform customers of what you’ll never ask of them.

Call Center 345

Call Center Contact Center Finance Consulting 345

AWS Machine Learning

FEBRUARY 21, 2025

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Data refinement: Raw data is refined into consumable layers (raw, processed, conformed, and analytical) using a combination of AWS Glue extract, transform, and load (ETL) jobs and EMR jobs.

Engineering 72

Engineering Finance Accountability Analytics 72

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. By using Amazon OpenSearch Service as a vector database, you can combine traditional search, analytics, and vector search into one comprehensive solution.

Engineering 79

Engineering Metrics Analytics Marketing 79

AWS Machine Learning

FEBRUARY 26, 2024

In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Overview of solution The first thing to consider is that different metrics require different computation considerations. The function invokes the modules.

Metrics 137

Metrics Big data Analytics Engineering 137

Pointillist

JUNE 15, 2018

In this post, I take an in-depth look at why customer retention matters and the ten powerful ways in which customer journey analytics can help you immediately improve customer retention. Hand-picked related content: How to reduce churn using customer journey analytics ]. 10 Steps to Improve Customer Retention with Journey Analytics.

Customer retention 110

Customer retention Analytics Airlines SaaS 110

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

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics.

Analytics 89

Analytics Engineering Metrics APIs 89

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

AWS Machine Learning

FEBRUARY 25, 2025

Headquartered in Redwood City, California, Alation is an AWS Specialization Partner and AWS Marketplace Seller with Data and Analytics Competency. Organizations trust Alations platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering innovation at scale.

Enterprise 93

Enterprise Engineering APIs Accountability 93

TeleDirect

DECEMBER 20, 2024

Use surveys, feedback forms, and analytics to understand your audience better. Measure and Optimize Consistently measure CX performance using metrics like Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Customer Effort Score (CES). Q: What metrics should businesses use to measure CX?

Customer Experience 62

Customer Experience Journey mapping Call Center Chatbots 62

Outsource Consultants

FEBRUARY 18, 2025

Proactive quality control is the engine that powers this positive cycle. Data-Driven Approach: Leverage the power of data analytics to identify trends and patterns in quality issues. Tie rewards to specific, measurable quality metrics. It sets the bar high and provides the framework to maintain it.

Feedback 67

Feedback Customer centricity Best practices Engineering 67

Balto

MARCH 17, 2025

Real-Time Call Center Insights Dashboard Introduction to Call Center Insights Call center analytics transforms raw operational data into actionable intelligence, enabling businesses to improve customer experience while optimizing agent performance. Modern analytics platforms examine everything from call volume patterns to customer sentiment.

Call Center 52

Call Center Customer Experience Average Handle Time Analytics 52

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The post-inference notification Lambda function collects batch inference metrics and sends an email to the approver to promote the model to the next environment. This post is co-written with Jayadeep Pabbisetty, Sr.

APIs 127

APIs Construction Engineering Analytics 127

Callminer

FEBRUARY 21, 2018

He is an Information technology enthusiast and petroleum engineer by discipline from Nigeria with a desire to make it work. A few years ago, when we were making our transition to call tracking, a big thing we looked for when comparing software was the ability to integrate directly with Google Analytics. Peter Abah. Alison Diana.

call center software 210

call center software Call Center Contact Center Interactive Voice Response 210

AWS Machine Learning

NOVEMBER 7, 2024

Prompt engineering is typically an iterative process, and teams experiment with different techniques and prompt structures until they reach their target outcomes. Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. They’re illustrated in the following figure.

Enterprise 112

Enterprise APIs Government Accountability 112

AWS Machine Learning

FEBRUARY 5, 2025

Monitoring Amazon Q has a built-in feature for an analytics dashboard that provides insights into user engagement within a specific Amazon Q Business application environment. About the Authors Nick Biso is a Machine Learning Engineer at AWS Professional Services. In addition, he builds and deploys AI/ML models on the AWS Cloud.

Engineering 71

Engineering Feedback Analytics Education 71

Callminer

NOVEMBER 6, 2019

As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests. Visualizations turn raw metrics into stories that can be shared and acted upon. “More than just trends over time, your metric values are probably made up of different components or parts.

Big data 140

Big data Analytics Metrics Sales 140

Cincom

FEBRUARY 21, 2025

Features to Look for in CPQ Applications 1- Dynamic Product Configuration A CPQ system includes a dynamic, rules-based engine that can handle intricate product configurations. Sales teams can generate accurate configurations by automating dependencies, constraints, and compatibility checks without any engineering inputs.

Engineering 40

Engineering CRM Analytics Sales 40

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

AWS Machine Learning

DECEMBER 13, 2024

This post was written with Darrel Cherry, Dan Siddall, and Rany ElHousieny of Clearwater Analytics. About Clearwater Analytics Clearwater Analytics (NYSE: CWAN) stands at the forefront of investment management technology. This approach enhances cost-effectiveness and performance to promote high-quality interactions.

Analytics 82

Analytics Management Accountability Engineering 82

AWS Machine Learning

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

Best practices 139

Best practices Enterprise Engineering APIs 139

AWS Machine Learning

OCTOBER 2, 2024

This is often referred to as platform engineering and can be neatly summarized by the mantra “You (the developer) build and test, and we (the platform engineering team) do all the rest!” Amazon Bedrock is compatible with robust observability features to monitor and manage ML models and applications.

Government 124

Government APIs Enterprise Best practices 124

Customer Service Life

NOVEMBER 10, 2022

With a bit of digging, we discover a larger bug or problem that may need to be addressed by engineering. Before reporting to engineering we get a sense of how many customers are impacted by the issue. An analyst reviews trends using speech or text analytics software discovering many support tickets about the same issue.

Contact Center 132

Contact Center Engineering Average Handle Time Analytics 132

AWS Machine Learning

SEPTEMBER 6, 2024

Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

Analytics 122

Analytics Metrics Chatbots Engineering 122

Calabrio

MARCH 4, 2025

Omnichannel contact center software is the engine that powers this unified view. Businesses can track key metrics related to agent performance, customer satisfaction, and operational efficiency across all channels. Reporting and Analytics: Its all about visibility.

Contact Center 52

Contact Center Contact center software Multichannel APIs 52