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

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 113

Analytics Engineering Government Best practices 113

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 99

Engineering Management APIs Healthcare 99

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 76

Metrics APIs Engineering Accountability 76

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 74

Engineering Metrics APIs Big data 74

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 Personalization 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

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 118

Metrics Big data Analytics Engineering 118

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

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 80

Metrics Engineering Accountability Telecommunications 80

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 69

Analytics Engineering Metrics APIs 69

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

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 108

APIs Construction Engineering Analytics 108

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 126

Best practices Enterprise Engineering APIs 126

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 113

Chatbots Engineering Enterprise Feedback 113

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 82

Best practices Metrics Sales Benchmark 82

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 Quality management Contact Center 62

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 105

Analytics Metrics Chatbots Engineering 105

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 105

Government APIs Enterprise Best practices 105

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 65

Analytics Management Accountability Engineering 65

JustCall

NOVEMBER 25, 2022

For meeting the goal of quality control, speech analytics software examines live or recorded calls and decodes emotional signs. Similar to voice recognition software, speech analytics software analyzes spoken language through artificial intelligence. Give call center agents instructions using call center voice analytics software.

Analytics 52

Analytics Cloud contact Coaching Telecommunications 52

AWS Machine Learning

DECEMBER 4, 2024

Available in SageMaker AI and SageMaker Unified Studio (preview) Data scientists and ML engineers can access these applications from Amazon SageMaker AI (formerly known as Amazon SageMaker) and from SageMaker Unified Studio. Comet has been trusted by enterprise customers and academic teams since 2017. To learn more, visit Comet.

Engineering 127

Engineering Enterprise SaaS Management 127

TeamSupport

DECEMBER 8, 2023

Do they need to collaborate with engineering and other departments to resolve customer issues? Look for software that easily integrates with your CRM system, marketing tools, analytics platforms, and any other relevant applications. Reporting and Analytics Data-driven insights are crucial for optimizing your customer support processes.

Customer Support 105

Customer Support Analytics Upselling Customer centricity 105

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 89

Engineering Metrics industry standards Analytics 89

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 113

Contact Center CRM Analytics Average Handle Time 113

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 101

Government Banking Engineering Enterprise 101

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 111

Analytics APIs Engineering Construction 111

OctopusTech

DECEMBER 23, 2022

The process of hiring an SEO partner can be a difficult task if you don’t have proper knowledge about search engine optimization. Preparing detailed analytics reports. Obtain proper reports and analytics. With their analytics and reports, you can obtain the following information – Analyze the quality of backlinks.

Engineering 118

Engineering Analytics Sales Consulting 118

Calltools

NOVEMBER 30, 2022

Keep reading to learn the importance of your dialer configuration and nine key performance indicator metrics to monitor to help you assess proper configuration. Carriers and analytics engines use software that assesses a call’s quality to detect spam or potential spam calls. 9 KPI Metrics to Monitor.

Metrics 52

Metrics Abandon Call Average Handle Time Call Center 52

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 112

Engineering CRM SaaS Sales 112

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 99

Surveys Metrics Analytics Engineering 99

GetFeedback

JANUARY 19, 2020

Here’s some general advice from the e-book How to Use Customer Loyalty Metrics: NPS, CES & CSAT : . Best Metric: CSAT. Some text analytics tools will output a derived CSAT or sentiment score, which you can use as an overall measure of this part of the journey. Best Metric: CSAT. Best Metric: CES or CSAT.

Surveys 146

Surveys Journey mapping Feedback B2B 146

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 114

Real estate APIs Metrics Construction 114

AWS Machine Learning

FEBRUARY 13, 2024

Before moving to full-scale production, BigBasket tried a pilot on SageMaker to evaluate performance, cost, and convenience metrics. Log model training metrics. About the Authors Santosh Waddi is a Principal Engineer at BigBasket, brings over a decade of expertise in solving AI challenges. Copy the final model to an S3 bucket.

Engineering 109

Engineering Gamification Big data Scripts 109