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

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 127

Engineering Customer Support APIs Government 127

AWS Machine Learning

NOVEMBER 13, 2024

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. Solution overview The solution outlines how to build a reverse image search engine to retrieve similar images based on input image queries. Engine : Select nmslib. Distance metric : Select Euclidean.

Engineering 114

Engineering Management APIs Healthcare 114

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 139

Metrics Big data Analytics Engineering 139

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

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 97

Analytics Engineering Metrics APIs 97

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 103

Engineering APIs Scripts Enterprise 103

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 98

Metrics Engineering Accountability Telecommunications 98

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 93

Analytics Management Accountability Engineering 93

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. SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process.

Management 113

Management APIs Engineering Metrics 113

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

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

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 90

Best practices Metrics Sales Benchmark 90

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 138

Best practices Enterprise Engineering APIs 138

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 127

Government APIs Enterprise Best practices 127

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 121

Analytics Metrics Chatbots Engineering 121

AWS Machine Learning

JUNE 3, 2024

Prepare your data As expected in the ML process, your dataset may require transformations to address issues such as missing values, outliers, or perform feature engineering prior to model building. For Objective metric , leave as the default F1. F1 averages two important metrics: precision and recall.

Surveys 123

Surveys Metrics Engineering Analytics 123

AWS Machine Learning

NOVEMBER 6, 2023

We also show how to get started quickly using the latest version of our open source solution, Live Call Analytics with Agent Assist. However, most summaries are empty or inaccurate because manually creating them is time-consuming, impacting agents’ key metrics like average handle time (AHT).

Contact Center 134

Contact Center CRM Analytics Average Handle Time 134

AWS Machine Learning

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. For Select a data source , choose Athena.

Government 119

Government Banking Engineering Enterprise 119

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 113

Scripts Metrics Engineering Analytics 113

AWS Machine Learning

NOVEMBER 15, 2024

Additional integrations with services like Amazon Data Firehose , AWS Glue , and Amazon Athena allowed for historical reporting, user activity analytics, and sentiment trends over time through Amazon QuickSight. The platform has delivered strong results across several key metrics.

Chatbots 112

Chatbots Engineering Enterprise Government 112

AWS Machine Learning

SEPTEMBER 9, 2022

This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform. The platform has shown a 3% boost to customer engagement metrics tracked (liking a show, following a creator, enabling upcoming show notifications) since its launch in May 2022. Solution overview.

Personalization 98

Personalization APIs Metrics Engineering 98

ProProfs Blog

APRIL 25, 2019

Search engine optimization. Google Analytics. Heap Analytics. Google Analytics. First and foremost is the Google Analytics tool that is not an option but a crucial requirement for your eCommerce website. You can track different metrics to understand the interactions from multiple angles – . ProProfs Chat.

Analytics 112

Analytics CRM Engineering Marketing 112

DMG Consulting

JANUARY 24, 2023

Interaction Analytics Helps Companies Hear their Customers View this article on the publisher’s website. INTERACTION analytics (IA) is a must-have solution for enterprises that want to understand and enhance their customer experience. Interaction analytics is the only application that can provide this range of information.

Analytics 62

Analytics Enterprise Contact Center Quality management 62

SharpenCX

MARCH 25, 2021

Turns out, customer service analytics, including speech analytics, is one of the five technology trends in Gartner’s custom e r experience hype cycle this year. . That’s why I’m diving in on how to use speech analytics to improve coaching and engagement in your call center. . What can speech analytics do for my call center?

Coaching 67

Coaching Call Center Analytics Quality management 67

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 111

Engineering Metrics industry standards Finance 111

AWS Machine Learning

DECEMBER 6, 2023

This is especially true for questions that require analytical reasoning across multiple documents. This task involves answering analytical reasoning questions. In this post, we show how to design an intelligent document assistant capable of answering analytical and multi-step reasoning questions in three parts.

Analytics 125

Analytics APIs Engineering Construction 125

AWS Machine Learning

JULY 24, 2024

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. To get started, see this guide. __ About the Authors Pawan Agarwal is the Senior Director of Software Engineering at Salesforce. Salesforce, Inc.

Engineering 127

Engineering CRM SaaS Sales 127

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 112

Best practices Feedback Metrics APIs 112

AWS Machine Learning

MAY 25, 2023

Spectrum AI is a predictive (generative) CX analytics platform for enterprises. Infogain works with OCX Cognition as an integrated product team, providing human-centered software engineering services and expertise in software development, microservices, automation, Internet of Things (IoT), and artificial intelligence.

Analytics 94

Analytics Engineering Accountability Enterprise 94

AWS Machine Learning

JUNE 25, 2024

This extension provides a robust monitoring solution, offering deeper insights and analytics tailored specifically for Neuron-based applications. By deploying the Neuron Monitor DaemonSet across EKS nodes, developers can collect and analyze performance metrics from ML workload pods.

Metrics 94

Metrics Best practices Analytics Accountability 94

AWS Machine Learning

MAY 30, 2024

The company’s Data & Analytics team regularly receives client requests for unique reports, metrics, or insights, which require custom development. Prompt engineering and instruction tuning Prompt engineering allows you to design the input to an LLM in order to generate an optimized output.

Real estate 127

Real estate APIs Metrics Construction 127

AWS Machine Learning

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

Engineering 105

Engineering Analytics Self service Government 105