Accountability, Analytics and Government - Customer Contact Central

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

AWS Machine Learning

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

Government

Government Banking Accountability Engineering

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning

NOVEMBER 14, 2024

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. Tagging is an effective scaling mechanism for implementing cloud management and governance strategies.

Government

Government Best practices Accountability APIs

Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

AWS Machine Learning

NOVEMBER 13, 2024

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks.

Government

Government Engineering Metrics APIs

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How to Coach Reps on Overcoming Sales Objections with Confidence

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Multi-account support for Amazon SageMaker HyperPod task governance

AWS Machine Learning

JUNE 6, 2025

Many organizations need to share a centralized, high-performance GPU computing infrastructure across different teams, business units, or accounts within their organization. Organizations also use multiple AWS accounts for their users. We use SageMaker HyperPod task governance to enable this feature.

Government

Government Accountability Best practices Enterprise

6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

Contact Center

6 Reasons Why Data Governance Services Are Essential for Fraud Prevention in Finance

CSM Magazine

FEBRUARY 28, 2025

In this high-stakes environment, data governance services stand out as a vital pillar of protection. By ensuring data accuracy, integrity, and proper stewardship, data governance frameworks enable organizations to detect and prevent fraudulent activities before they spiral out of control.

Government

Government Finance Best practices Banking

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

AWS Machine Learning

OCTOBER 20, 2023

However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards.

Government

Government Engineering Accountability Enterprise

Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

NOVEMBER 7, 2024

We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components.

Enterprise

Enterprise APIs Government SaaS

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

AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Accountability

Accountability Government Engineering Scripts

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

DECEMBER 4, 2024

SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI. Prerequisites Before creating your application in Amazon Bedrock IDE, you’ll need to set up a few resources in your AWS account.

APIs

APIs Sales Surveys Analytics

Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

AWS Machine Learning

AUGUST 21, 2024

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. However, ML governance plays a key role to make sure the data used in these models is accurate, secure, and reliable. For Select a data source , choose Athena.

Government

Government Banking Engineering Enterprise

How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

AWS Machine Learning

AUGUST 9, 2024

This post provides an overview of a custom solution developed by the AWS Generative AI Innovation Center (GenAIIC) for Deltek , a globally recognized standard for project-based businesses in both government contracting and professional services. Deltek serves over 30,000 clients with industry-specific software and information solutions.

Government

Government Healthcare Construction Engineering

Building a Great CX Team

CX Accelerator

NOVEMBER 11, 2022

Customer Insights/Measurement/Analytics. CUSTOMER INSIGHTS/MEASUREMENT/ANALYTICS Understanding your customers is at the heart of customer experience. Once customer data has been gathered, an analytics function is required to derive meaningful, actionable insight from it. The 8 skills required by any CX team are: Strategy.

Journey mapping

Journey mapping Customer centricity Analytics Government

Data Governance in the Age of AI: A Competitive Edge for Business Leaders

COPC

OCTOBER 8, 2024

But here’s the reality: none of that happens without reliable data governance. However, the surge in AI adoption means governance frameworks must adapt to keep pace. Data governance is necessary to maintain these models’ reliability and meet internal and regulatory guidelines.

Government

Government Healthcare Benchmark Technology

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

FEBRUARY 21, 2025

Previously, he was a Data & Machine Learning Engineer at AWS, where he worked closely with customers to develop enterprise-scale data infrastructure, including data lakes, analytics dashboards, and ETL pipelines. He specializes in building scalable machine learning infrastructure, distributed systems, and containerization technologies.

Engineering

Engineering APIs Analytics Enterprise

How Kepler democratized AI access and enhanced client services with Amazon Q Business

AWS Machine Learning

JUNE 9, 2025

At the heart of our system is our custom extract, transform, and load ETL pipeline (Kip SSoT), which we’ve designed to feed data into QuickSight for AI-enabled analytics. The platform has enabled us to standardize our approach to insight generation, ensuring consistent, high-quality service delivery across all client accounts.

Enterprise

Enterprise Analytics Accountability Marketing

How to Successfully Implement Customer Journey Analytics – Part 1

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

Analytics Government Metrics Upselling

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

DECEMBER 19, 2023

Data and model management provide a central capability that governs ML artifacts throughout their lifecycle. Integrations with CI/CD workflows and data versioning promote MLOps best practices such as governance and monitoring for iterative development and data versioning. It enables auditability, traceability, and compliance.

Analytics

Analytics Engineering Government Best practices

Call Center Regulatory Compliance

Callminer

MARCH 12, 2020

PCI-DSS stands for “Payment Card Industry Data Security Standards” and although it is not necessarily enforced at a governmental level in many jurisdictions, the PCI Security Standards Council holds companies accountable for failing to abide by established standards. The Six Goals of the PCI-DSS.

Call Center

Call Center Analytics Best practices Government

Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

NOVEMBER 19, 2024

These sessions, featuring Amazon Q Business , Amazon Q Developer , Amazon Q in QuickSight , and Amazon Q Connect , span the AI/ML, DevOps and Developer Productivity, Analytics, and Business Applications topics. Learn how Toyota utilizes analytics to detect emerging themes and unlock insights used by leaders across the enterprise.

APIs

APIs Enterprise Best practices Contact Center

How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock

AWS Machine Learning

JUNE 11, 2025

This post was co-written with Federico Thibaud, Neil Holloway, Fraser Price, Christian Dunn, and Frederica Schrager from Gardenia Technologies “What gets measured gets managed” has become a guiding principle for organizations worldwide as they begin their sustainability and environmental, social, and governance (ESG) journeys.

Technology

Technology Engineering Finance Government

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning

JANUARY 13, 2023

Machine learning (ML) presents an opportunity to address some of these concerns and is being adopted to advance data analytics and derive meaningful insights from diverse HCLS data for use cases like care delivery, clinical decision support, precision medicine, triage and diagnosis, and chronic care management.

Analytics

Analytics Healthcare Engineering Government

Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

JULY 29, 2022

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.

Government

Government Banking Analytics Accountability

B2B Customer Experience Governance

ClearAction

JULY 23, 2023

B2B Customer Experience Governance Lynn Hunsaker B2B customer experience governance can generate stronger growth when it’s tied-in to the way that B2B ecosystems work. Governance of any endeavor is strongest when it’s integrated as your company’s way of life. Built-in B2B Customer Experience Governance 1.

Government

Government B2B Customer Experience Enterprise

Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines

AWS Machine Learning

AUGUST 7, 2024

In the face of these challenges, MLOps offers an important path to shorten your time to production while increasing confidence in the quality of deployed workloads by automating governance processes. Aligning with AWS multi-account best practices The solution outlined in this post spans across several accounts in a given AWS organization.

Government

Government Benchmark Scripts Enterprise

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

JANUARY 28, 2025

SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process. The repository uses an Amazon Simple Storage Service (Amazon S3) bucket within your AWS account, making sure that your artifacts are stored securely and remain under your control.

Management

Management APIs Engineering Metrics

Derive generative AI powered insights from Alation Cloud Services using Amazon Q Business Custom Connector

AWS Machine Learning

FEBRUARY 25, 2025

Headquartered in Redwood City, California, Alation is an AWS Specialization Partner and AWS Marketplace Seller with Data and Analytics Competency. Organizations trust Alations platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering innovation at scale.

Enterprise

Enterprise Engineering APIs Accountability

Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning

NOVEMBER 12, 2024

Bond types**: The list covers a range of bond types, including corporate bonds, government bonds, high-yield bonds, and green bonds. Additionally, the generated analysis has considered all of the volatility information in the dataset (1-year, 3-year, and 5-year) and accounted for present or missing data for volatility.

Engineering

Engineering Real estate Government Big data

Is Cold Calling Legal? Exploring Laws, Guidelines, and Best Practices

JustCall

MAY 20, 2025

In this guide, well discover the truth about cold callings legality, explore the rules that govern it, and equip you with best practices to turn your cold calls into warm opportunities. However, its practice is governed by strict regulations designed to safeguard consumer privacy and prevent undue harassment. Lets get started.

Best practices

Best practices Telemarketing outsourcing B2C

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government

Government APIs Enterprise Best practices

Building the Foundation for an AI-Ready Organization

ConvergeOne

APRIL 12, 2022

However, the reason that so many AI projects fail is not due to the AI processes themselves, but rather the lack of strong data governance, collaboration, and problem definition. The wheels are like a data governance strategy that provides processes, security, accessibility, and accountability.

Government

Government Engineering Analytics Best practices

What is the CFPB Consumer Financial Protection Bureau? Definition, Tips, Best Practices, and Compliance Challenges of the CFPB

Callminer

MARCH 7, 2017

The Consumer Financial Protection Bureau (CFPB) is an agency of the United States government set up after the financial crisis of 2008 in order to protect the rights of consumers in the financial services industry. Leverage Speech Analytics: Speech analytics software can help you stay CFPB compliant.

Best practices

Best practices Analytics Government Banking

Insights in implementing production-ready solutions with generative AI

AWS Machine Learning

APRIL 30, 2025

Achieving scale, reliability, and compliance Factors to consider in transitioning to full-scale production include scalability, data governance, privacy, consistent and responsible AI behaviors, security, integration with existing systems, monitoring, end-user feedback collection, and business impact measurement.

Government

Government Engineering Enterprise APIs

Is Agentic AI Ready to Take Over the Contact Centre?

CSM Magazine

MAY 13, 2025

Legal and regulatory concerns As decision-making shifts from humans to machines, accountability becomes a pressing issue. Develop AI governance principles Ensure your approach to AI adoption is responsible, auditable, and future-ready. There are several key roadblocks preventing agentic AI from taking full flight in contact centres.

Construction

Construction APIs Government Enterprise

Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

AWS Machine Learning

JUNE 5, 2025

During the EBA, experienced AWS ML subject matter experts and the AWS Account Team worked closely with Radials cross-functional team. Account isolation for secure and scalable MLOps To streamline operations and enforce security, the MLOps architecture is built on a multi-account strategy that isolates environments based on their purpose.

APIs

APIs Engineering Accountability Government

Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases

AWS Machine Learning

JUNE 17, 2025

This includes difficulties training LLMs to convert natural language queries to SQL queries based on complex database schemas, as well as making sure appropriate data governance and security controls are in place. Prerequisites To implement the solution provided in this post, you must have an AWS account.

APIs

APIs Engineering Government Management

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning

NOVEMBER 19, 2024

Implement governance mechanisms to make sure AI-generated responses align with brand standards and regulatory requirements, preventing non-relevant communications. Deploy the AWS CDK project to provision the required resources in your AWS account. Choose Users in the navigation pane, and navigate to the support user.

APIs

APIs Management Engineering Enterprise

Reshaping The Future Of Digital Customer Service: 22 Influential Leaders to Watch in 2022

TechSee

JUNE 16, 2022

At Miele, Eric is also accountable for the management of escalation departments, offline processes, e-care solutions, national call center consolidation, multi-product services, upselling / cross selling and re-defining the consumer experience. He has 30 years of experience in inbound, outbound, chat, analytics, AI, and social media.

Customer Service

Customer Service Chief Customer Officer Contact Center Consulting

Search enterprise data assets using LLMs backed by knowledge graphs

AWS Machine Learning

NOVEMBER 27, 2024

account } WHERE { ?asset Prerequisites The following are prerequisites to deploy the solution: An AWS account. In your AWS account, prepare a table using Amazon DataZone and Athena completing Step 1 through Step 8 in Amazon DataZone QuickStart with AWS Glue data. asset "GlueTableAssetType". ?asset 80 Launch the stack.

Enterprise

Enterprise APIs Accountability Engineering

The Best Omnichannel Solution for Your Government Agency

Avaya

JUNE 26, 2017

Budgetary constraints have caused too many government agencies to rely on legacy IT systems that are more than a decade old. Today, digital interactions account for over 35% of all interactions and, at the current rate, will overtake voice in two years. Citizens have different levels of tech savviness and social aptitude.

Government

Government Contact Center Analytics Customer Experience

5 signs it’s time to move your contact center to Microsoft Teams

Momentum Telecom

MAY 8, 2025

More importantly, AI-powered analytics help you go beyond surface-level metrics. For leadership, it means higher costs with less accountability. Supervisors and managers get immediate access to agent activity, queue status, and customer interactions with no extra dashboards or lag time.

Contact Center

Contact Center Call flow CRM SaaS

Enabling generative AI self-service using Amazon Lex, Amazon Bedrock, and ServiceNow

AWS Machine Learning

JANUARY 21, 2025

Sign up for a ServiceNow account if you do not have one. CloudTrail is enabled on your AWS account when you create the account. You can view, search, and download recent events in your AWS account. For information about pricing for using Amazon Bedrock, see Amazon Bedrock pricing. Save your username and password.

Self service

Self service Best practices Accountability Government

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning

JANUARY 13, 2023

Automating the client-server infrastructure to support multiple accounts or virtual private clouds (VPCs) requires VPC peering and efficient communication across VPCs and instances. The tables are de-identified to meet the regulatory requirements US Health Insurance Portability and Accountability Act (HIPAA).

Analytics

Analytics Healthcare Scripts Accountability

Maximizing ROI with CPQ: 10 Best Practices for Sales Success

Cincom

FEBRUARY 14, 2025

It demands a well-defined framework that integrates automation, pricing governance, and seamless CRM and ERP connectivityall of which are essential for driving predictable revenue and operational efficiency. Ensure pricing logic accounts for regional tax structures, regulatory compliance, and multi-currency support for global operations.

Best practices

Best practices Sales CRM Finance

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

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

Webinars

Trending Sources

Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

Webinars

Multi-account support for Amazon SageMaker HyperPod task governance

6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

6 Reasons Why Data Governance Services Are Essential for Fraud Prevention in Finance

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

Build a multi-tenant generative AI environment for your enterprise on AWS

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

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

Building a Great CX Team

Data Governance in the Age of AI: A Competitive Edge for Business Leaders

Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

How Kepler democratized AI access and enhanced client services with Amazon Q Business

How to Successfully Implement Customer Journey Analytics – Part 1

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

Call Center Regulatory Compliance

Your guide to generative AI and ML at AWS re:Invent 2024

How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

Build and train ML models using a data mesh architecture on AWS: Part 1

B2B Customer Experience Governance

Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

Derive generative AI powered insights from Alation Cloud Services using Amazon Q Business Custom Connector

Generate financial industry-specific insights using generative AI and in-context fine-tuning

Is Cold Calling Legal? Exploring Laws, Guidelines, and Best Practices

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

Building the Foundation for an AI-Ready Organization

What is the CFPB Consumer Financial Protection Bureau? Definition, Tips, Best Practices, and Compliance Challenges of the CFPB

Insights in implementing production-ready solutions with generative AI

Is Agentic AI Ready to Take Over the Contact Centre?

Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases

Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

Reshaping The Future Of Digital Customer Service: 22 Influential Leaders to Watch in 2022

Search enterprise data assets using LLMs backed by knowledge graphs

The Best Omnichannel Solution for Your Government Agency

5 signs it’s time to move your contact center to Microsoft Teams

Enabling generative AI self-service using Amazon Lex, Amazon Bedrock, and ServiceNow

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

Maximizing ROI with CPQ: 10 Best Practices for Sales Success

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