Big data, Scripts and Tools - Customer Contact Central

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

OCTOBER 31, 2024

Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to enhance productivity and decision-making processes. This tool allows you to interact with AWS services through command line commands. Run the script init-script.bash : chmod u+x init-script.bash./init-script.bash

APIs

APIs Scripts Accountability Construction

Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

NOVEMBER 22, 2024

Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. This approach was not only time-consuming but also prone to errors and difficult to scale.

Government

Government Banking Accountability Engineering

Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

AWS Machine Learning

JULY 29, 2022

Their Python-based library ( Transformers ) provides tools to easily use popular state-of-the-art Transformer architectures like BERT, RoBERTa, and GPT. Build your training script for the Hugging Face SageMaker estimator. script to use with Script Mode and pass hyperparameters for training. return tokenized_dataset.

Scripts

Scripts APIs Big data Engineering

Use Snowflake as a data source to train ML models with Amazon SageMaker

AWS Machine Learning

MARCH 8, 2023

In order to train a model using data stored outside of the three supported storage services, the data first needs to be ingested into one of these services (typically Amazon S3). This requires building a data pipeline (using tools such as Amazon SageMaker Data Wrangler ) to move data into Amazon S3.

Scripts

Scripts Accountability Enterprise Management

Automate Amazon SageMaker Pipelines DAG creation

AWS Machine Learning

FEBRUARY 29, 2024

You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices. framework/createmodel/ – This directory contains a Python script that creates a SageMaker model object based on model artifacts from a SageMaker Pipelines training step. script is used by pipeline_service.py The model_unit.py

Scripts

Scripts Engineering Metrics Best practices

How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform

AWS Machine Learning

JUNE 17, 2024

With the right processes and tools, MLOps enables organizations to reliably and efficiently adopt ML across their teams for their specific use cases. A Transformer instance is used to runs a batch transform job to get inferences on the entire dataset stored in Amazon S3 from the data preparation step and store the output in Amazon S3.

Scripts

Scripts Engineering Metrics Big data

Customer Experience Automation: Transforming the Future of Customer Service

TechSee

AUGUST 7, 2024

CXA refers to the use of automated tools and technologies to manage and enhance customer interactions throughout their journey with a company. The development of chatbots, automated email responses, and AI-driven customer support tools marked a new era in customer service automation. What is Customer Experience Automation?

Customer Experience

Customer Experience Customer Service Interactive Voice Response Chatbots

Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

JULY 15, 2024

Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer engagement, and expanding market reach. By using the infrastructure as code (IaC) tool, AWS CloudFormation , the pipeline becomes reusable for dubbing new foreign languages. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

Engineering

Engineering Entertainment Big data Benchmark

21 Business Analysts & Call Center Leaders Reveal the Optimal Role of the Business Analyst in Call Center Operations

Callminer

SEPTEMBER 14, 2020

Using tech tools can help these tasks. The business analyst’s role is to evaluate the customer experience and then identify how to improve the customer experience either with software changes or call center script changes. With all the new powerful AI tools coming out, business analysts have…”. Allan Borch. allan_borch.

Call Center

Call Center Analytics First call resolution Metrics

Host the Spark UI on Amazon SageMaker Studio

AWS Machine Learning

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. install-scripts chmod +x install-history-server.sh./install-history-server.sh script and attach it to an existing SageMaker Studio domain.

Scripts

Scripts Engineering Big data Management

Why Businesses Should Hire Cloud Developers: Key Benefits and Best Practices

CSM Magazine

MARCH 24, 2025

A Harvard Business Review study found that companies using big data analytics increased profitability by 8%. While this statistic specifically addresses data-centric strategies, it highlights the broader value of well-structured technical investments. Overlooking Security Updates Tools and services require frequent patching.

Best practices

Best practices Analytics Finance Big data

Deploy a Slack gateway for Amazon Bedrock

AWS Machine Learning

JUNE 19, 2024

The step-by-step guide demonstrated how to establish a direct connection between these two powerful tools, enabling you and your team to harness the full potential of generative AI directly within your Slack workspace. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs

APIs Engineering Accountability Big data

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

AWS Machine Learning

JULY 25, 2022

The result is an integrated trading solution delivering a full ecosystem of protocols and execution tools within one intuitive platform. We found that we didn’t need to separate data preparation, model training, and prediction, and it was convenient to package the whole pipeline as a single script and use SageMaker processing.

Scripts

Scripts Engineering Analytics APIs

Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning

MARCH 15, 2024

It provides a comprehensive suite of tools, libraries, and algorithms that enable researchers and practitioners to implement and experiment with FL algorithms in a distributed environment. FedML addresses the challenges of data privacy, communication, and model aggregation in FL, offering a user-friendly interface and customizable components.

Healthcare

Healthcare Big data Engineering Accountability

Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage

Calabrio

NOVEMBER 25, 2020

The one-size-fit-all script no longer cuts it. Technology is also creating new opportunities for contact centers to not only better serve customers but also gain deep insights through Big Data. With analytics, contact centers can leverage their data to see trends, understand preferences and even predict future requirements.

Contact Center

Contact Center Self service Banking Analytics

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

AWS Machine Learning

AUGUST 29, 2023

Solution overview The following figure illustrates the proposed target MLOps architecture for enterprise batch inference for organizations who use GitLab CI/CD and Terraform infrastructure as code (IaC) in conjunction with AWS tools and services. The central model registry could optionally be placed in a shared services account as well.

Scripts

Scripts APIs Enterprise Accountability

Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

APRIL 11, 2023

Populate the data Run the following script to populate the DynamoDB tables and Amazon Cognito user pool with the required information: /scripts/setup/fill-data.sh The script performs the required API calls using the AWS Command Line Interface (AWS CLI) and the previously configured parameters and profiles.

APIs

APIs Accountability Scripts Enterprise

Optimize for sustainability with Amazon CodeWhisperer

AWS Machine Learning

NOVEMBER 8, 2023

Amazon CodeWhisperer currently supports Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, Shell scripting, SQL, and Scala. times more energy efficient than the median of surveyed US enterprise data centers and up to 5 times more energy efficient than the average European enterprise data center.

Analytics

Analytics Enterprise Big data Scripts

Four approaches to manage Python packages in Amazon SageMaker Studio notebooks

AWS Machine Learning

MARCH 7, 2023

Studio provides all the tools you need to take your models from data preparation to experimentation to production while boosting your productivity. Alternatively to using notebook instances or shell scripts, you can use the Studio Image Build CLI to work with Docker in Studio. For Name , enter a name for the configuration.

Management

Management Scripts Government Engineering

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

FEBRUARY 13, 2024

A user-friendly interface, equipped with efficient search tools and comprehensive feature descriptions, is indispensable. In essence, a cross-account feature store setup meticulously segments the roles of data producers and consumers, ensuring efficiency, clarity, and innovation.

Accountability

Accountability Government Engineering Scripts

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning

DECEMBER 18, 2023

Populate a time series collection in MongoDB Atlas For the purposes of this demonstration, you can use a sample data set from from Kaggle and upload the same to MongoDB Atlas with the MongoDB tools , preferably MongoDB Compass. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation.

Finance

Finance APIs Big data Analytics

11 Contact Center Technologies to Boost Customer Satisfaction

TechSee

DECEMBER 5, 2017

The Netherlands-based Casengo also offers features such as Workflow management tools and unlimited Inboxes. Retently’s reporting tool enables organizations to analyze their data and act on the received customer feedback. Customers appreciate: Being provided with a smooth experience across multiple channels.

Contact Center

Contact Center Technology Self service Call Center

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

SEPTEMBER 9, 2022

Its electronic health records, revenue cycle management, and patient engagement tools allow anytime, anywhere access, driving better financial outcomes for its customers and enabling its provider customers to deliver better quality care. Kubeflow achieves this by incorporating relevant open-source tools that integrate well with Kubernetes.

Engineering

Engineering Healthcare APIs Scripts

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

SEPTEMBER 9, 2022

Amp stakeholders require this data to power ML processes or predictive models, content moderation tools, and product and program dashboards (for example, trending shows). Streaming data enables Amp customers to conduct and measure experimentation. Amazon EMR performed the transformation from raw data to transformed data.

Analytics

Analytics Engineering Metrics APIs

Top 30 Customer Service Books Every Team Needs to Read

Comm100

SEPTEMBER 22, 2016

Goodman shows you how to develop and implement a good customer service strategy with the cutting-edge tools at your disposal. Crucial Conversations Tools for Talking When Stakes Are High by Kerry Patterson, Joseph Grenny, Ron McMillan, and Al Switzler. Do you need practical diagrams and tools to help you map your customer journey?

Customer Service

Customer Service Gamification Consulting Consulting

6 Online Data Analyst Courses

JivoChat

JANUARY 31, 2023

The Data Analyst Course With the Data Analyst Course, you will be able to become a professional in this area, developing all the necessary skills to succeed in your career. The course also teaches beginner and advanced Python, basics and advanced NumPy and Pandas, and data visualization. Workload: 20.5

Analytics

Analytics APIs Big data Scripts

3 Things Make or Break your Conversational AI Experience

SmartAction

NOVEMBER 4, 2020

The big thing to understand is that Conversational AI is not an off-the-shelf product – it’s merely a tool set. Here is a call into emergency roadside assistance prior to the CX design work from Hollywood script writers. It’s a solution that requires ongoing care and feeding.

Big data

Big data Interactive Voice Response Virtual Agent Scripts

How Sophos trains a powerful, lightweight PDF malware detector at ultra scale with Amazon SageMaker

AWS Machine Learning

SEPTEMBER 30, 2022

Security is a big-data problem. As soon as a download attempt is made, it triggers the malicious executable script to connect to the attacker’s Command and Control server. SageMaker is a fully managed ML service providing various tools to build, train, optimize, and deploy ML models. Solution overview.

Scripts

Scripts Engineering Metrics Big data

Organize your machine learning journey with Amazon SageMaker Experiments and Amazon SageMaker Pipelines

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). At the start, the process is full of uncertainty and is highly iterative.

Metrics

Metrics Scripts Enterprise Telecommunications

Call Center Analytics: How to Analyze Call Center Data

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

Call Center Analytics Average Handle Time Big data

Adaptive Selling Will Transform Your Customer Relationships

Calltools

DECEMBER 25, 2019

Another may buy the same tool to learn new knowledge to apply for new jobs. Just as big data allows marketers to segment their audience by interest and appeal to those interests separately, adaptive selling allows sales people to tailor their approach too.

Sales

Sales Big data Scripts Analytics

Digital Transformation Initiatives for Contact Centers

DMG Consulting

SEPTEMBER 12, 2019

The outcome of a digital transformation is a company that has been revamped, re-architected, re-tooled, re-organized and re-staffed so that it is positioned to succeed in the era of digital and artificial intelligence (AI). In other situations, the technology may be current but the script and voice user interface (VUI) is old and ineffective.

Contact Center

Contact Center Interactive Voice Response Analytics Enterprise

Call Center AI: The Key to Enhanced Customer Interactions

Balto

AUGUST 8, 2024

Then, with the shift towards creating digital experiences in the 2000s, contact centers started implementing simple chatbots that use predefined scripts to help guide the customer and resolve their issues. Gen AI models are capable of producing new information from the vast sets of data it’s trained on.

Call Center

Call Center Interactive Voice Response Coaching Chatbots

SOASTA Ushers in New Era of Innovation in Digital Performance Management

Natalie Petouhof

APRIL 4, 2016

The new SOASTA mPulse enhancements make Big Data insights easy to visualize, access and share. Instead of siloing information within groups, SOASTA mPulse with embedded Data Science Workbench reports help enterprises isolate issues, triage performance problems, and make decisions based on a better understanding of the customer.

Management

Management Analytics Consulting Consulting

Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage

Calabrio

NOVEMBER 25, 2020

The one-size-fit-all script no longer cuts it. Technology is also creating new opportunities for contact centers to not only better serve customers but also gain deep insights through Big Data. With analytics, contact centers can leverage their data to see trends, understand preferences and even predict future requirements.

Contact Center

Contact Center Self service Banking Analytics

Conversational AI: Everything You Need to Know for Your Contact Center

Balto

JUNE 20, 2023

And if you’re still relying on a traditional contact center model with long wait times, scripted interactions, and frustrated customers, your business is destined to lose a lot of customers, and concurrently, money. The good news is that we can improve the performance and effectiveness of conversational AI tools with machine learning.

Contact Center

Contact Center Chatbots Complaint resolution Wait times

The Most Effective Communication Channels for Personalized Customer Service

aircall

JUNE 2, 2021

Modern-day video calling software has multiple tools and features that make sharing information easier. Cloud calling software is also integrated with tools like call monitoring and customer data sharing, allowing you to better train your team and personalize calls for each interaction. Leverage Digital Programs and Tools.

Personalization

Personalization Customer Service B2B Self service

Optimizing Call Center Customer Support for Increased Revenue

Tenfold - Contact Center Blog

NOVEMBER 30, 2017

If you arm yourself with the tools to better understand your customers, you will be better able to act in their best interests. With in-depth training sessions through e-learning, virtual assistance, and scripting tools, clearly establish company goals and expectations and provide your agents the confidence to tackle any initiative.

Call Center

Call Center Customer Support Customer centricity Contact Center

The Future of Sales: An In-Depth Look at Revenue Intelligence

Balto

SEPTEMBER 7, 2023

Today, many sales organizations are still heavily dependent on manual data collection and forecasting. Your marketing team is likely using separate tools and techniques from your sales team, which can make integrating data and actually getting something useful out of it challenging.

Sales

Sales Coaching Analytics CRM

Top 12 Customer Support Outsourcing Companies

ROI CX Solutions

DECEMBER 3, 2024

Its incorporating more artificial intelligence solutions for companies interested in benefiting from big data and AI insights. With its live answering option, you set up a customized script and forward your calls to Answerforce. Telus Internationals expanding services are reflected in its upcoming name change Telus Digital.

outsourcing

outsourcing Customer Support Telemarketing Technical Support

From CTO to CX Industry Analyst: An In-depth Conversation with Mark Hillary

Vistio

OCTOBER 5, 2021

And then we found that actually the way that many of these tools were implemented, didn’t actually work very well and led to a real reduction and creating a poor customer experience. I think I’m going a bit off-script here, Mark, but we now are seeing that people thought RPA was going to be the end all be all.

Contact Center

Contact Center Chatbots Banking Technology

How Call Center Automation Stats Help You To Stay On Top?

Dialer 360

SEPTEMBER 7, 2018

Huge Data Analytics. With today trend towards a big data analytics is also helping thing to automate. Utilize the complex data sets from different sources. It automates elements of what the contact center reps does with desktop tools. There is intelligent virtual personal assistant that can be easily deployed.

Call Center

Call Center Interactive Voice Response Call flow Analytics

Revolutionizing Communication: Unleashing the Power of the Best Artificial Intelligence Chatbots

SmartKarrot

APRIL 17, 2023

AI chatbots offer a cost-effective way to automate tasks, streamline communication, and provide a personalized user experience , making them a popular tool for businesses. Here’s a step-by-step guide to getting started with chatbot scripts. What are the Types of Artificial Intelligence Chatbots?

Chatbots

Chatbots Scripts Enterprise Education

Contact Center Trends 2021: The CX Watershed

Fonolo

NOVEMBER 17, 2020

Whether it’s handling and routing necessary inquiries through self-service tools and chatbots or using AI to improve reporting and predictive modeling, AI will be essential in delivering excellent customer experiences in the future. Although not new to social communication, this system is in its infancy as a contact center tool.

Contact Center

Contact Center Gamification Call Center Average Handle Time

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

Trending Sources

Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

Use Snowflake as a data source to train ML models with Amazon SageMaker

Automate Amazon SageMaker Pipelines DAG creation

How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform

Customer Experience Automation: Transforming the Future of Customer Service

Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

21 Business Analysts & Call Center Leaders Reveal the Optimal Role of the Business Analyst in Call Center Operations

Host the Spark UI on Amazon SageMaker Studio

Why Businesses Should Hire Cloud Developers: Key Benefits and Best Practices

Deploy a Slack gateway for Amazon Bedrock

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

Optimize for sustainability with Amazon CodeWhisperer

Four approaches to manage Python packages in Amazon SageMaker Studio notebooks

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

11 Contact Center Technologies to Boost Customer Satisfaction

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

Top 30 Customer Service Books Every Team Needs to Read

6 Online Data Analyst Courses

3 Things Make or Break your Conversational AI Experience

How Sophos trains a powerful, lightweight PDF malware detector at ultra scale with Amazon SageMaker

Organize your machine learning journey with Amazon SageMaker Experiments and Amazon SageMaker Pipelines

Call Center Analytics: How to Analyze Call Center Data

Adaptive Selling Will Transform Your Customer Relationships

Digital Transformation Initiatives for Contact Centers

Call Center AI: The Key to Enhanced Customer Interactions

SOASTA Ushers in New Era of Innovation in Digital Performance Management

Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage

Conversational AI: Everything You Need to Know for Your Contact Center

The Most Effective Communication Channels for Personalized Customer Service

Optimizing Call Center Customer Support for Increased Revenue

The Future of Sales: An In-Depth Look at Revenue Intelligence

Top 12 Customer Support Outsourcing Companies

From CTO to CX Industry Analyst: An In-depth Conversation with Mark Hillary

How Call Center Automation Stats Help You To Stay On Top?

Revolutionizing Communication: Unleashing the Power of the Best Artificial Intelligence Chatbots

Contact Center Trends 2021: The CX Watershed

Stay Connected