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

NOVEMBER 12, 2024

You may check out additional reference notebooks on aws-samples for how to use Meta’s Llama models hosted on Amazon Bedrock. The following question requires complex industry knowledge-based analysis of data from multiple columns in the ETF database. In entered the Big Data space in 2013 and continues to explore that area.

Engineering 119

Engineering Real estate Government Big data 119

AWS Machine Learning

SEPTEMBER 6, 2024

In this post, we discuss best practices for working with FMEval in ground truth curation and metric interpretation for evaluating question answering applications for factual knowledge and quality. Ground truth data in AI refers to data that is known to be true, representing the expected outcome for the system being modeled.

Best practices 94

Best practices Metrics Sales Benchmark 94

AWS Machine Learning

NOVEMBER 14, 2024

In this post, we will show you how to use this new cross-account model sharing feature to build your own centralized model governance capability, which is often needed for centralized model approval, deployment, auditing, and monitoring workflows. We will start by using the SageMaker Studio UI and then by using APIs.

Government 106

Government Management APIs Accountability 106

AWS Machine Learning

MARCH 18, 2025

They provide feedback, make necessary modifications, and enforce compliance with relevant guidelines and best practices. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. He helps customers implement big data, machine learning, and analytics solutions.

Healthcare 116

Healthcare Analytics Consulting Consulting 116

AWS Machine Learning

FEBRUARY 21, 2023

In this post, we discuss how to deploy ML models with Amazon SageMaker in a repeatable and automated way, integrating the production variants and deployment guardrails capabilities of SageMaker with MLOps solutions. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera.

Best practices 96

Best practices Accountability Metrics Engineering 96

Totango

DECEMBER 1, 2021

As we unpack the elements of an agile CS strategy, we’ll highlight how to leverage the right CS technology can help you implement agility. An agile approach brings the full power of big data analytics to bear on customer success. Define how to measure success. Define How to Measure Success.

Government 103

Government Journey mapping Accountability Benchmark 103

aircall

MAY 24, 2021

Setting up the right digital transformation framework makes a huge difference in how well your call center runs. By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. Improves training and retention.

Best practices 62

Best practices Call Center Analytics Technology 62

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. Conclusion This post described how to take resilience into account when building generative AI solutions.

Best practices 138

Best practices Engineering SaaS Accountability 138

AWS Machine Learning

OCTOBER 30, 2023

In this post, we demonstrate how to set up private access on your AWS account to access Amazon Bedrock APIs over VPC endpoints powered by PrivateLink to help you build generative AI applications securely with your own data. Ray Khorsandi is an AI/ML specialist at AWS, supporting strategic customers with AI/ML best practices.

APIs 142

APIs Big data Accountability Enterprise 142

AWS Machine Learning

APRIL 30, 2025

Standard development best practices and effective cloud operating models, like AWS Well-Architected and the AWS Cloud Adoption Framework for Artificial Intelligence, Machine Learning, and Generative AI , are key to enabling teams to spend most of their time on tasks with high business value, rather than on recurrent, manual operations.

Government 69

Government Engineering Enterprise APIs 69

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 131

Government APIs Enterprise Best practices 131

AWS Machine Learning

FEBRUARY 28, 2024

Third, despite the larger adoption of centralized analytics solutions like data lakes and warehouses, complexity rises with different table names and other metadata that is required to create the SQL for the desired sources. Clean up To clean up the resources, you can start by cleaning up your S3 bucket where the data resides.

Engineering 142

Engineering Best practices Analytics Enterprise 142

AWS Machine Learning

JUNE 12, 2024

This post demonstrates how to build a custom UI for Amazon Q Business. For more information about the token exchange flow between IAM Identity Center and the IdP, refer to How to develop a user-facing data application with IAM Identity Center and S3 Access Grants (Part 1) and Part 2.

APIs 139

APIs Enterprise Accountability Feedback 139

REVE Chat Blog

FEBRUARY 12, 2020

Customers want to feel secure in sharing all the information and data with the bank. How to improve digital customer experience (CX) in banking? . A chatbot is the best channel banks can use to automate their simple and routine tasks (knowing account balance, outstanding credit card amount, how to change the address, etc.)

Banking 76

Banking Customer Experience Chatbots Big data 76

AWS Machine Learning

OCTOBER 20, 2023

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. In a later post, we will provide prescriptive guidance for how to implement the various modules in the reference architecture in your organization.

Government 135

Government Engineering Accountability Enterprise 135

ClearAction

APRIL 18, 2015

Create CX playbooks & best practice to guide interactions with customers. We assume teams know how to collaborate across departments. Anyone can work together if they understand how intricately interdependent they are. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals.

Customer Experience 96

Customer Experience Employee engagement Big data Customer centricity 96

Callminer

AUGUST 23, 2018

By collecting interaction data across multiple channels, you can uncover why customers contact you and through which channel. Or that you have agents that need more guidance on how to properly manage customer conversations? If left alone, each of these can result in lost sales and customers. Identify other customer trends.

Metrics 205

Metrics Contact Center Analytics Marketing 205

Call Design

SEPTEMBER 21, 2021

Data Analytics. The contact centre industry is no different from any other and analysing big data allows managers to refine output more accurately than ever before. The post How To Use Gamification To Improve CX In Your Contact Centre appeared first on Call Design.

Gamification 78

Gamification Schedule adherence Average Handle Time First call resolution 78

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

AWS Machine Learning

MARCH 13, 2024

Create a notebook instance called DemoNotebookInstance and the security guidelines as outlined in How to configure security in Amazon SageMaker. Kesaraju Sai Sandeep is a Cloud Engineer specializing in Big Data Services at AWS. Create a VPC S3 gateway endpoint called DemoS3GatewayEndpoint. Create the SageMaker execution role.

Accountability 126

Accountability Engineering Enterprise Big data 126

Avaya

NOVEMBER 16, 2016

Having said that, here are three massive IoT security threats we’re seeing today (and how to expertly address them): Personally-owned devices: Research shows that about 40% of U.S. In fact, research shows that about 90% of all data in the world today was created in just the past few years (2.5

APIs 72

APIs Transportation Enterprise Healthcare 72

AWS Machine Learning

FEBRUARY 29, 2024

Refer to Step 3 of deployment instructions for descriptions of these variables and how to set them via environment variables. This approach not only saves time and resources, but also promotes MLOps best practices, contributing to the overall success of ML initiatives. Hasan Shojaei , is a Sr.

Scripts 128

Scripts Engineering Metrics Best practices 128

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. Only they could afford the collection services and analysts necessary to transform the data into a story and an agenda.

Metrics 63

Metrics Interactive Voice Response voip Abandon rate 63

Callminer

SEPTEMBER 1, 2020

Later on, breakout sessions led by customers, Avadyne Health , Gant Travel , and more offered some powerful case studies including an analysis from Direct Dialog’s Marvie Wright on how speech analytics helped their virtual workforce yield 10% more revenue. The show goes on. CETX 2020: It was a cyber success.

Entertainment 182

Entertainment Contact Center Analytics Customer Service 182

AWS Machine Learning

JUNE 25, 2024

In this section, you’ll learn how to create a custom dashboard using an example RAG based architecture that utilizes Amazon Bedrock. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes.

Metrics 124

Metrics APIs Government Big data 124

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

JUNE 3, 2024

seek_help Does your employer provide resources to learn more about mental health issues and how to seek help? leave How easy is it for you to take medical leave for a mental health condition? Staying up to date with the latest developments and best practices can be challenging, especially in a public forum.

Surveys 127

Surveys Metrics Engineering Analytics 127

AWS Machine Learning

DECEMBER 14, 2023

Conclusion This post described how ICL, an Israeli mining company, developed their own computer vision approach for automated monitoring of mining equipment using cameras. If you want to learn how to build a production-scale prototype of your use case, reach out to your AWS account team to discuss a prototyping engagement.

Engineering 118

Engineering Big data outsourcing Education 118

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

AWS Machine Learning

AUGUST 31, 2023

As you scale your models, projects, and teams, as a best practice we recommend that you adopt a multi-account strategy that provides project and team isolation for ML model development and deployment. In the following section, we show how to share model cards. AWS RAM helps you share resources across AWS accounts.

Government 128

Government Accountability Enterprise Best practices 128

Callminer

SEPTEMBER 14, 2020

The business analyst can provide information to train staff on how to respond to the most frequent problems and questions. 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. Customer Experience.

Call Center 182

Call Center Analytics First call resolution Metrics 182

AWS Machine Learning

NOVEMBER 9, 2023

This post explained how to create an MLOps framework in a multi-environment setup to enable automated model retraining, batch inference, and monitoring with Amazon SageMaker Model Monitor, model versioning with SageMaker Model Registry, and promotion of ML code and pipelines across environments with a CI/CD pipeline. Sunita Koppar is a Sr.

Scripts 125

Scripts Accountability Best practices Engineering 125

AWS Machine Learning

MARCH 23, 2023

Data using FHE is larger in size, so testing must be done for applications that need the inference to be performed in near-real time or with size limitations. In this post, we show how to activate privacy-preserving ML predictions for the most highly regulated environments. The following figure shows both versions of these patterns.

Scripts 121

Scripts APIs Government Analytics 121

AWS Machine Learning

OCTOBER 27, 2022

They faced two challenges: how to reduce food waste, and how to manage forecast models for over 10,000 SKUs and thousands of stores efficiently and at scale. In this post, we showed how to use Forecast to minimize waste through more effective inventory forecasting of food products with a short shelf life. Summary and next steps.

APIs 98

APIs Best practices Metrics Government 98

AWS Machine Learning

OCTOBER 6, 2023

He supports strategic customers with AI/ML best practices cross many industries. He is deeply passionate about applying ML/DL and big data techniques to solve real-world problems. Outside of work, he enjoys reading and traveling. Gordon Wang is a Senior AI/ML Specialist TAM at AWS.

Personalization 141

Personalization Engineering Construction Transportation 141

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. But first, let’s dive deeper into edge computing and learn how to choose the correct edge device for your solution, based on the restrictions of the environment.

Transportation 98

Transportation APIs Big data Wireless 98