InMoment XI

NOVEMBER 20, 2023

It involves harnessing advanced technology, specifically artificial intelligence and machine learning, to enhance the way businesses connect with their customers. With AI, brands spend less time analyzing text-heavy analytics and more time making smarter decisions to drive change. What is AI in CX?

Customer Experience 324

Customer Experience Strategy Chatbots e-support 324

AWS Machine Learning

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

Knowledge Base 111

Knowledge Base Chatbots Policies Government 111

AWS Machine Learning

FEBRUARY 29, 2024

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0 Amazon OpenSearch Service is a fully managed service that makes it straightforward to deploy, scale, and operate OpenSearch in the AWS Cloud.

e-support 92

e-support Resources Comparison Data 92

AWS Machine Learning

APRIL 18, 2024

It’s the AI-powered platform for work that connects people, conversations, apps, and systems together in one place. Slack is also using Amazon SageMaker inference capabilities for advanced routing strategies to scale the solution to customers with optimal performance, latency, and throughput.

Multi-Channel 96

Multi-Channel Sports Strategy Data 96

InMoment XI

MARCH 6, 2024

Jeff Bezos, founder and executive chairman of Amazon) This Jeff Bezos quote means that the company views its customers as valued guests, much like attendees at a party. Quotes About Customer Experience and Brand Reputation The next set of quotes describes the connection between customer experience and brand reputation.

Customer Experience 260

Customer Experience Social Media Customer Centricity Feedback 260

AWS Machine Learning

NOVEMBER 29, 2023

Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler. Prerequisites To follow along with this walkthrough, ensure you have implemented the prerequisites as detailed in Launch Amazon SageMaker Canvas. Enter your okta account id and choose Add connection.

Data 104

Data Analysis Training Financial 104

AWS Machine Learning

DECEMBER 19, 2023

The solution takes advantage of AWS native features from Amazon SageMaker , building a flexible and extensible framework around this. Manual workflows limit ML lifecycle operations to slow down the development process, increase costs, and compromise the quality of the final product.

Analytics 106

Analytics Training Government System 106

AWS Machine Learning

DECEMBER 29, 2022

Last year, we announced the general availability of RStudio on Amazon SageMaker , the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. Solution overview.

Connections 107

Connections Analysis Resources Analytics 107

AWS Machine Learning

AUGUST 30, 2023

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. When you deploy QnABot, you can choose to automatically deploy a state-of-the-art open-source LLM model ( Falcon-40B-instruct ) on an Amazon SageMaker endpoint. We also discuss some relevant use cases.

Self Service 105

Self Service Contact Center Multi-Channel Knowledge Base 105

AWS Machine Learning

JUNE 13, 2023

The latest offering for generative AI from AWS is Amazon Bedrock , which is a fully managed service and the easiest way to build and scale generative AI applications with foundation models. AWS also offers foundation models through Amazon SageMaker JumpStart as Amazon SageMaker endpoints.

Data 73

Data Analytics Connections Sales 73

AWS Machine Learning

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. SageMaker requires that the training data for an ML model be present either in Amazon Simple Storage Service (Amazon S3), Amazon Elastic File System (Amazon EFS) or Amazon FSx for Lustre (for more information, refer to Access Training Data).

Training 107

Training Data Resources Management 107

AWS Machine Learning

SEPTEMBER 19, 2023

They are able to connect insights across these diverse data types to gain a more comprehensive understanding and generate appropriate responses. For structured data, the agent uses the SQL Connector and SQLAlchemy to analyze databases, which includes Amazon Athena.

Financial 103

Financial Multi-Channel Marketing Analysis 103

AWS Machine Learning

JANUARY 5, 2024

Artificial intelligence (AI) and machine learning (ML) offerings from Amazon Web Services (AWS) , along with integrated monitoring and notification services, help organizations achieve the required level of automation, scalability, and model quality at optimal cost.

Data 112

Data Management Effort Score Training 112

AWS Machine Learning

FEBRUARY 13, 2024

In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%. Store data in an Amazon Simple Storage Service (Amazon S3) bucket.

Training 102

Training Gamification Data Innovation 102

Magellan Solutions

FEBRUARY 26, 2024

It provides more comprehensive call analytics. Machine learning algorithms analyze incoming calls to enable intelligent, personalized connections. Intelligent Analytics Dashboards AI for call centers provides in-depth analytics on call times, first resolution, and more. How does AI advance call centers?

Call Center 52

Call Center Customer Service Contact Center Roadmap 52

Calabrio

MAY 15, 2019

More and more, businesses are enticed to the cloud by the scalability to accommodate both seasonal changes and organic growth as well as access to new, more robust technology such as customer interaction analytics. Here’s your chance to experience both Amazon Connect and Calabrio ONE in action! See what’s possible.

Connections 100

Connections Contact Center Omni-Channel Course 100

AWS Machine Learning

APRIL 17, 2023

RStudio on Amazon SageMaker is the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. Data scientists and data engineers use Apache Spark, Hive, and Presto running on Amazon EMR for large-scale data processing. This is demonstrated in the following diagram.

Connections 65

Connections Resources Analysis Insurance 65

AWS Machine Learning

SEPTEMBER 9, 2022

Amp , the new live radio app from Amazon, is a reinvention of radio featuring human-curated live audio shows. However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. The source data is emitted from Amp-owned systems or other Amazon systems. Solution overview.

Analytics 70

Analytics Data Customer Engagement Engagement 70

AWS Machine Learning

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

Hospitality 84

Hospitality Metrics Automotive Connections 84

AWS Machine Learning

JANUARY 26, 2024

Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Government 125

Government Training Data Policies 125

AWS Machine Learning

NOVEMBER 8, 2023

AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. The MONAI AI models and applications can be hosted on Amazon SageMaker , which is a fully managed service to deploy machine learning (ML) models at scale.

Healthcare 97

Healthcare How To Data Resources 97

AWS Machine Learning

JUNE 13, 2023

This post discusses how to structure internal knowledge sharing using Amazon Kendra and AWS Lambda and how Amazon Kendra solves the obstacles around knowledge sharing many companies face. Why did we choose Amazon Kendra? At our company, Amazon Kendra is the cloud service that has solved these problems.

Chatbots 78

Chatbots User Experience System Study 78

BirdEye

NOVEMBER 15, 2023

These paid plans include more advanced tools for analytics, review invitations, and marketing. But what happens when those words travel at the speed of the internet? Online reviews have the power to transform customer perceptions on a massive scale. The challenge is that reviews don’t just magically appear.

Retail 111

Retail Brands Consumers Case Study 111

AWS Machine Learning

NOVEMBER 3, 2022

Intelligent document processing with AWS AI and Analytics services in the insurance industry. We walk through each of these stages and how they connect to the steps involved in a claims application process, starting from when an application is submitted, to investigating and closing the application. Solution overview.

Insurance 84

Insurance Industry Analytics Data 84

AWS Machine Learning

JUNE 16, 2023

SambaSafety serves more than 15,000 global employers and insurance carriers with driver risk and compliance monitoring, online training and deep risk analytics, as well as risk pricing solutions. SambaSafety’s data science team needed help connecting their existing data science workflow to a continuous delivery solution.

Insurance 78

Insurance Training Comparison Innovation 78

AWS Machine Learning

AUGUST 4, 2023

This is the second post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. To use this dataset in your Data Cloud, refer to Create Amazon S3 Data Stream in Data Cloud. This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. We use the following sample dataset.

Data 79

Data Policies Training Connections 79

AWS Machine Learning

APRIL 18, 2023

With two million members on the platform, the company provides a comfortable place for this deserving population to connect with each other and programs designed to support them.” All those who serve – and those who support them – often face a variety of employment challenges when a servicemember transitions back into civilian life.

Metrics 73

Metrics Healthcare Groups Automotive 73

AWS Machine Learning

FEBRUARY 13, 2024

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. After they’re granted access, users of those accounts can conveniently view all of their feature groups, including the shared ones, through Amazon SageMaker Studio or SDKs.

Groups 107

Groups Government Resources Consumers 107

eGain Blogs

OCTOBER 19, 2021

In eGain 21, we’ve organized our customer engagement solution into three logical hubs: Conversation Hub to connect , Knowledge Hub to better solve , and. Analytics Hub to better optimize customer engagement. Analytics Hub. Deep Analytics for AI guidance and conversational automation. Amazon Connect support.

Self Service 52

Self Service Contact Center Analytics Call Center 52

PeopleMetrics

DECEMBER 1, 2021

In case you did not hear, I launched my second book called Pharma Customer Experience ( CLICK TO VIEW ON AMAZON ) on Tuesday (11/30). I wrote this book because pharma and biotech companies have an amazing opportunity to improve the customer experience (patients, HCPs, caregivers) and emotionally connect with these customers.

Telecommunications 118

Telecommunications B2C B2B Hotels 118

AWS Machine Learning

APRIL 7, 2023

As an example, smart venue solutions can use near-real-time computer vision for crowd analytics over 5G networks, all while minimizing investment in on-premises hardware networking equipment. To learn more about deploying geo-distributed applications on AWS Wavelength, refer to Deploy geo-distributed Amazon EKS clusters on AWS Wavelength.

Training 81

Training Telecommunications Groups Examples 81

AWS Machine Learning

JUNE 8, 2023

We have included a sample project to quickly deploy an Amazon Lex bot that consumes a pre-trained open-source LLM. Solution overview The solution integrates an Amazon Lex bot with a popular open-source LLM from Amazon SageMaker JumpStart , accessible through an Amazon SageMaker endpoint.

Chatbots 74

Chatbots Contact Center Training Resources 74

AWS Machine Learning

MAY 5, 2023

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Amazon Kendra is an intelligent search service powered by ML, and Amazon Rekognition is an ML service that can identify objects, people, text, scenes, and activities from images or videos.

Training 101

Training Examples How To Data 101

CSM Magazine

JANUARY 18, 2024

“Nina’s vision for the future of AI inspires and challenges us to think bigger in order to build deeper consumer connections. . “Nina’s vision for the future of AI inspires and challenges us to think bigger in order to build deeper consumer connections.

Case Study 52

Case Study Groups Conference CRM 52

AWS Machine Learning

DECEMBER 23, 2022

As organizations incorporate machine learning (ML) and analytics into their applications, using this data can provide insights on how to create more seamless customer experiences. We will create an AWS Step Functions state machine, which orchestrates an Amazon Comprehend PII redaction job. Agent: Hi, thank you for calling us today.

Data 83

Data How To Call Center Resources 83

AWS Machine Learning

JULY 7, 2022

You familiarized yourself with Amazon Lex , built a prototype, and did a few trial interactions with the bot. You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. Amazon Lex offers this functionality via bot versioning. Development.

User Experience 76

User Experience Guidelines Metrics Chatbots 76

Alida

NOVEMBER 10, 2017

Intelligent apps, analytics and things. And while it’s true that consumer goods companies are already jumping on the connected device bandwagon, these brands need to gather insight on customer preferences to thrive in this lucrative but increasingly competitive space. What’s changed is the level of smarts. Employee experience.

Trends 174

Trends Retail e-support Technology 174