AWS Machine Learning

FEBRUARY 21, 2023

A/B testing is used in scenarios where closed loop feedback can directly tie model outputs to downstream business metrics. This feedback is then used to determine the statistical significance of changing from one model to another, helping you select the best model through live production testing.

Best practices 98

Best practices Accountability Metrics Engineering 98

AWS Machine Learning

OCTOBER 2, 2024

Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale. Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis.

Government 131

Government APIs Enterprise Best practices 131

Callminer

NOVEMBER 6, 2019

Big data is getting bigger with each passing year, but making sense of trends hidden deep in the heap of 1s and 0s is more confounding than ever. As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests.

Big data 140

Big data Analytics Metrics Sales 140

AWS Machine Learning

FEBRUARY 1, 2024

Make sure to use best practices for rate limiting, backoff and retry, and load shedding. This pattern achieves a statically stable architecture, which is a resiliency best practice. Although generative AI applications have some interesting nuances, the existing resilience patterns and best practices still apply.

Best practices 138

Best practices Engineering SaaS Accountability 138

Jive

AUGUST 27, 2018

Phone metrics inform data-driven decisions. In the era of Big Data and data-driven decisions, phone metrics can act as an invaluable measure of customer service. Previously, only the top dogs in any industry had access to phone metrics. The most helpful phone metrics to track.

Metrics 63

Metrics Interactive Voice Response voip Abandon rate 63

Callminer

SEPTEMBER 14, 2020

They serve as a bridge between IT and other business functions, making data-driven recommendations that meet business requirements and improve processes while optimizing costs. That requires involvement in process design and improvement, workload planning and metric and KPI analysis. Kirk Chewning. kirkchewning.

Call Center 182

Call Center Analytics First call resolution Metrics 182

AWS Machine Learning

JUNE 25, 2024

A new automatic dashboard for Amazon Bedrock was added to provide insights into key metrics for Amazon Bedrock models. From here you can gain centralized visibility and insights to key metrics such as latency and invocation metrics. Optionally, you can select a specific model to isolate the metrics to one model.

Metrics 123

Metrics APIs Government Big data 123

AWS Machine Learning

FEBRUARY 29, 2024

framework/modelmetrics/ – This directory contains a Python script that creates an Amazon SageMaker Processing job for generating a model metrics JSON report for a trained model based on results of a SageMaker batch transform job performed on test data. The model_unit.py script is used by pipeline_service.py The pipeline_service.py

Scripts 128

Scripts Engineering Metrics Best practices 128

AWS Machine Learning

JULY 19, 2023

We discuss the solution architecture and best practices for managing model card versions, and walk through how to set up, operationalize, and govern the model card integration with the model version in the model registry. Model cards are part of the best practices for responsible and transparent ML development.

Government 98

Government Best practices Metrics Enterprise 98

TechSee

AUGUST 7, 2024

Today, CXA encompasses various technologies such as AI, machine learning, and big data analytics to provide personalized and efficient customer experiences. Moreover, advanced analytics capabilities built into these platforms allow businesses to monitor customer sentiment and track performance metrics in real time.

Customer Experience 124

Customer Experience Customer Service Interactive Voice Response Chatbots 124

ClearAction

APRIL 18, 2015

Create CX playbooks & best practice to guide interactions with customers. Focus employee metrics more on CX enabling behaviors, less on survey ratings. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. —@iamLivingston. —@Lynn_Teo. —@EngageGXD.

Customer Experience 96

Customer Experience Employee engagement Big data Customer centricity 96

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data. tar czvf model.tar.gz -C deepspeed.

Management 122

Management Best practices APIs Calibration 122

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.

Personalization 98

Personalization APIs Metrics Engineering 98

AWS Machine Learning

JUNE 3, 2024

For Objective metric , leave as the default F1. F1 averages two important metrics: precision and recall. This option selects the algorithm most relevant to your dataset and the best range of hyperparameters to tune model candidates. Review model metrics Let’s focus on the first tab, Overview.

Surveys 128

Surveys Metrics 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. Data Engineer for Amp on Amazon.

Analytics 98

Analytics Engineering Metrics APIs 98

AWS Machine Learning

OCTOBER 27, 2022

To achieve these operational benefits, they implemented a number of best practice processes, including a fast data iteration and testing cycle, and parallel testing to find optimal data combinations. After the predictors have been created, we evaluated their quality metrics in the predictors dashboard.

APIs 98

APIs Best practices Metrics Government 98

Totango

DECEMBER 1, 2021

An agile approach brings the full power of big data analytics to bear on customer success. This should reference your KPI metrics and lay out a path to achieve each. These benefits give an agile approach a decisive edge over alternatives which put processes and tools ahead of customer interactions.

Government 103

Government Journey mapping Accountability Benchmark 103

AWS Machine Learning

SEPTEMBER 21, 2022

To achieve this, companies want to understand industry trends and customer behavior, and optimize internal processes and data analyses on a routine basis. When looking at these metrics, business analysts often identify patterns in customer behavior, in order to determine whether the company risks losing the customer. Choose Visualize.

Metrics 98

Metrics Marketing Big data Banking 98

Cincom

JANUARY 31, 2025

Companies use advanced technologies like AI, machine learning, and big data to anticipate customer needs, optimize operations, and deliver customized experiences. Creating robust data governance frameworks and employing tools like machine learning, businesses tend derive actionable insights to achieve a competitive edge.

CRM 40

CRM Analytics Automotive Technology 40

AWS Machine Learning

SEPTEMBER 18, 2024

It provides a unified interface for logging parameters, code versions, metrics, and artifacts, making it easier to compare experiments and manage the model lifecycle. He is passionate about machine learning engineering, distributed systems, and big-data technologies. Similarly to Airflow, MLflow is also used just partially.

APIs 123

APIs Engineering Analytics Marketing 123

AWS Machine Learning

NOVEMBER 24, 2023

This ensures full isolation between the workspaces following the federated model account structure mentioned in SageMaker Studio Administration Best Practices. JuMa features Following best practice architecting on AWS, the JuMa service was designed and implemented according to the AWS Well-Architected Framework.

Engineering 111

Engineering Analytics Self service Government 111

AWS Machine Learning

JULY 19, 2022

This allows us to compare the evaluation metrics of different versions of the model that are trained based on different input datasets. When the model training process is complete, we can access the evaluation metrics on the Evaluate tab on the model page. Dr. Baichuan Sun is a Senior Data Scientist at AWS AI/ML.

APIs 98

APIs Metrics Enterprise Marketing 98

Call Design

SEPTEMBER 21, 2021

The contact centre industry is no different from any other and analysing big data allows managers to refine output more accurately than ever before. Gamification allows you to manage metrics during the training process, enabling managers to understand the strengths and weaknesses of agents in a quantifiable manner.

Gamification 78

Gamification Schedule adherence Average Handle Time First call resolution 78

AWS Machine Learning

JANUARY 26, 2023

SageMaker then determines the best model candidate with the optimal hyperparameters based on the objective metric configured. Best Egg was able to automate hyperparameter tuning with the automated hyperparameter optimization (HPO) feature of SageMaker and parallelize it.

Finance 101

Finance Engineering Big data Banking 101

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

aircall

FEBRUARY 24, 2021

Sales team members are spending too much time doing data entry, and it’s digging into their selling time. Rather than implementing best practices for sales, your teams are largely winging it. . And even when sales reps have the right data, they need to know what does and doesn’t work in certain situations. .

Sales 62

Sales Technology call center software CRM 62

AWS Machine Learning

NOVEMBER 9, 2023

She holds a master’s degree in Computer Science specialized in Data Science from the University of Colorado, Boulder. Data Lake Architect with AWS Professional Services. She is passionate about solving customer pain points processing big data and providing long-term scalable solutions. Sunita Koppar is a Sr.

Scripts 123

Scripts Accountability Best practices Engineering 123

AWS Machine Learning

APRIL 24, 2023

We invoke a Lambda function to validate that the training data path exists, and then trigger an Amazon Comprehend training job. If the training job is complete, we get the model metric and store it in DynamoDB for further evaluation. After the training job starts, we use another Lambda function to check the training job status.

Customer Experience 94

Customer Experience APIs Feedback Chatbots 94

Talkdesk

FEBRUARY 23, 2017

In this post, we’ll cover a couple of ways to use big data to assist in predictive customer service attempts. When it comes to customers, there’s all sort of data to review, but as far as customer service is concerned, it’s vital that companies know the issues customers are having at various stages of their product usage.

Customer Service 40

Customer Service Best practices Big data Metrics 40

AWS Machine Learning

MAY 10, 2023

Exploring, analyzing, interpreting, and finding trends in data is essential for businesses to achieve successful outcomes. Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events.

Accountability 101

Accountability Enterprise Big data Management 101

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. Recently, the AWS Generative AI Innovation Center collaborated with Patsnap to implement a feature to automatically suggest search keywords as an innovation exploration to improve user experiences on their platform.

APIs 97

APIs Engineering Construction Benchmark 97

AWS Machine Learning

JUNE 15, 2022

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. Edge computing is the act of running workloads on these edge devices. Edge computing. Edge Manager can manage fleets of up to millions of devices.

Transportation 98

Transportation APIs Big data Wireless 98

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of Big Data. Contact center reporting technology of the future.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

ChurnZero

DECEMBER 11, 2020

For instance, look at ChurnZero which provides big-data ingestion, advanced analytics, health scorin g, large-scale workflows, native integrations, and campaign automation – not to menti on t he security, scalability, and interconnecti on of all that functionality. . ROI Calculators for Customer Success Software .

CRM 59

CRM SaaS Technology Big data 59

Taylor Reach Group

MAY 24, 2018

Big Data & Analytics for Retail Summit : June 6-7, Chicago, IL. Customer Contact Europe will prepare you for the future of customer care by providing pragmatic real world experiences, insight, best practices and tools for embracing and accelerating digital transformation. Is it possible to achieve churn reduction?

Contact Center 48

Contact Center Healthcare Best practices Call Center 48

AWS Machine Learning

SEPTEMBER 9, 2022

Data must be utilized, stored, and accessed in specific ways, and we have embedded robust processes to ensure our practices comply with our legal obligations as well as align with industry best practices. We then use Kibana and the Grafana UI for searching and filtering logs and metrics. Logging and monitoring.

Engineering 98

Engineering Healthcare APIs Scripts 98

Balto

AUGUST 8, 2024

AI call center solutions enable you to create hyper-personalized experiences for your customers based on big data analytics that include past interactions, purchase history, buying preferences, and more. With AI, you’ll be able to monitor your agents’ adherence to your company’s compliance guidelines and best practices.

Call Center 52

Call Center Interactive Voice Response Coaching Chatbots 52