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 85

Engineering Metrics APIs Big data 85

Callminer

OCTOBER 11, 2018

From essentials like average handle time to broader metrics such as call center service levels , there are dozens of metrics that call center leaders and QA teams must stay on top of, and they all provide visibility into some aspect of performance. Kaye Chapman @kayejchapman. First contact resolution (FCR) measures might be…”.

Call Center 561

Call Center Metrics Contact Center Wait times 561

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 132

Engineering Customer Support APIs Government 132

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 77

Chatbots Metrics Analytics Banking 77

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 124

Analytics Engineering Government Best practices 124

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 91

Best practices Metrics Sales Benchmark 91

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 88

Metrics Engineering Accountability Telecommunications 88

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 107

Engineering APIs Scripts Enterprise 107

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 128

Metrics Big data Analytics Engineering 128

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 76

Analytics Engineering Metrics APIs 76

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

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

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

NOVEMBER 13, 2024

With the unification of SageMaker Model Cards and SageMaker Model Registry, architects, data scientists, ML engineers, or platform engineers (depending on the organization’s hierarchy) can now seamlessly register ML model versions early in the development lifecycle, including essential business details and technical metadata.

Government 101

Government Engineering Metrics APIs 101

CSM Magazine

JULY 17, 2023

BigChange has launched a series of Analytics Dashboards to display critical business information for field service firms. “BigChange now incorporates a powerful business information engine that pools from across a business, generating almost 14,000 points of data every minute.

Analytics 52

Analytics Finance CRM Engineering 52

3CLogic

APRIL 13, 2022

Unfortunately, many organizations have yet to reach their full potential when it comes to contact center analytics. What It Takes To Effectively Use Advanced Contact Center Analytics. There’s a better, brighter future for contact center analytics. Dig Deeper Into The Trend With ServiceNow Performance Analytics.

Contact Center 52

Contact Center Analytics Abandon rate Average Handle Time 52

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 116

Government APIs Enterprise Best practices 116

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 120

APIs Construction Engineering Analytics 120

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 120

Chatbots Engineering Enterprise Feedback 120

NobelBiz

FEBRUARY 21, 2023

Importance of Reporting and Analytics in a Contact Center Reporting and analytics are one of the crucial components that help gain an accurate and sincere state of a contact center’s development. On the other hand, analytics refers to the use of advanced tools and techniques to analyze the collected data.

Best practices 52

Best practices Analytics Contact Center Coaching 52

AWS Machine Learning

OCTOBER 16, 2024

To evaluate the transcription accuracy quality, the team compared the results against ground truth subtitles on a large test set, using the following metrics: Word error rate (WER) – This metric measures the percentage of words that are incorrectly transcribed compared to the ground truth. A lower MER signifies better accuracy.

Engineering 106

Engineering Metrics APIs Big data 106

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 118

Analytics Metrics Chatbots Engineering 118

SharpenCX

MARCH 4, 2021

Yeah, turns out your boss wants you to present important metrics in front of your COO now, too. Sure, you use customer analytics in tons of different ways in your contact center. Learn how to use customer analytics to create reports for 3 different audiences: managers & supervisors, agents, and your exec team.

Analytics 67

Analytics Average Handle Time Management Metrics 67

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 102

Scripts Metrics Engineering Analytics 102

Pointillist

JULY 25, 2018

Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics. By Swati Sahai.

Analytics 93

Analytics Government Metrics APIs 93

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 114

Government Banking Engineering Enterprise 114

Mindtouch

JANUARY 23, 2020

To that end, we worked hard this past year to help our customer base run audits to identify the MindTouch ROI and value metrics they care most about—data points not inherently baked into our product. This included metrics around cost savings, efficiency gains, and revenue generation. Want to see what you’re saving with MindTouch?

Metrics 62

Metrics B2C B2B Self service 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

JustCall

APRIL 28, 2022

This also includes investments in voice analytics , a big piece of the larger puzzle i.e. conversation intelligence. What is voice analytics? Voice analytics is the use of technology that can measure and analyze that same emotional content in a phone conversation with a customer. How does voice analytics work?

Analytics 52

Analytics Sales Customer Support Benchmark 52

JustCall

APRIL 28, 2022

This also includes investments in voice analytics , a big piece of the larger puzzle i.e. conversation intelligence. What is voice analytics? Voice analytics is the use of technology that can measure and analyze that same emotional content in a phone conversation with a customer. How does voice analytics work?

Analytics 52

Analytics Sales Customer Support Benchmark 52

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 88

Metrics Best practices Analytics Engineering 88

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 135

Best practices Enterprise Engineering APIs 135

GetFeedback

AUGUST 16, 2018

Here’s a look at the top 11 customer service metrics you should start measuring today. Customer Happiness Metrics. These three metrics correlate with customer loyalty and retention more strongly than support efficiency metrics. At face value, NPS is a pretty simple metric—one score per customer, one overall score.

Metrics 79

Metrics Customer Service Surveys Self service 79

Lumoa

MAY 16, 2024

Meanwhile, you can almost hear the prudent software engineers screaming: “This is not a process!” This iterative approach doesn’t always fit into the linear development pipelines that software engineers are accustomed to. In software engineering, quality is often about something working correctly or not.

Engineering 78

Engineering Banking Metrics Big data 78

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 111

Surveys Metrics Analytics Engineering 111