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. The diagram shows several accounts and personas as part of the overall infrastructure. The following diagram gives a high-level illustration of the use case.

Government 103

Government Banking Accountability Engineering 103

AWS Machine Learning

MARCH 15, 2024

Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions. FedML Octopus is the industrial-grade platform of cross-silo FL for cross-organization and cross-account training.

Healthcare 131

Healthcare Big data Engineering Accountability 131

C3Centricity

MAY 25, 2020

Technology is being blamed for disrupting businesses, but in most cases these companies have simply not adapted to this new data-rich world. If you're drowning in data, perhaps you have still not adapted to today's data-rich world. BigData #Analysis #Customer #CustomerUnderstanding Click To Tweet.

Technology 86

Technology Big data Analytics Personalization 86

AWS Machine Learning

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. Here are some key observations: 1.

Engineering 117

Engineering Real estate Government Big data 117

AWS Machine Learning

OCTOBER 29, 2024

A multi-account strategy is essential not only for improving governance but also for enhancing security and control over the resources that support your organization’s business. In this post, we dive into setting up observability in a multi-account environment with Amazon SageMaker.

Government 113

Government Metrics Accountability APIs 113

AWS Machine Learning

FEBRUARY 2, 2024

And finally, how well is our reference data covering the questions being asked? In this post, you’ll learn about some of the considerations for embedding vector analysis and detecting signals of embedding drift. The question and the reference data then go into the prompt for the LLM.

Big data 128

Big data Technology Management Engineering 128

Talkdesk

MAY 19, 2015

Oxford defines “big data” as “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.” Big data is of special interest to businesses that wish to gauge their consumers’ preferences and ideas regarding customer service.

Big data 40

Big data Call Center call center software Customer Service 40

AWS Machine Learning

NOVEMBER 29, 2023

From the Import data page, select Snowflake from the list and choose Add connection. Enter your okta account id and choose Add connection. On successful authentication, you will be redirected to the data flow page. For example, you can get statistics and feature correlation analysis on the loan data using natural phrases.

Engineering 132

Engineering Big data Customer centricity Education 132

AWS Machine Learning

AUGUST 21, 2024

For example, when financial institutions use ML models to perform fraud detection analysis, they can use low-code and no-code solutions to enable rapid iteration of fraud detection models to improve efficiency and accuracy. However, ML governance plays a key role to make sure the data used in these models is accurate, secure, and reliable.

Government 128

Government Banking Engineering Enterprise 128

AWS Machine Learning

OCTOBER 20, 2023

This framework addresses challenges by providing prescriptive guidance through a modular framework approach extending an AWS Control Tower multi-account AWS environment and the approach discussed in the post Setting up secure, well-governed machine learning environments on AWS.

Government 134

Government Engineering Accountability Enterprise 134

AWS Machine Learning

MAY 10, 2023

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. Thereafter, we send the data to QuickSight for further analysis. Then they can create predictive dashboards with the data.

Accountability 101

Accountability Enterprise Big data Management 101

AWS Machine Learning

JUNE 3, 2024

Run a Data Quality and Insights report After you import the dataset, the SageMaker Data Wrangler data flow will open. You can run a Data Quality and Insights Report, which will perform an analysis of the data to determine potential issues to address during data preparation. Choose Create model.

Surveys 127

Surveys Metrics Analytics Engineering 127

AWS Machine Learning

MARCH 8, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Sagemaker provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers.

Scripts 136

Scripts Accountability Enterprise Management 136

The Northridge Group

MARCH 21, 2022

Authored by Daniel Fenton , Director, Enterprise Accounts and Molly Clark , Senior Director, Operational Analytics. Northridge’s data-driven Root Cause Analysis process. It’s every Contact Center manager’s worst nightmare, the customer who repeatedly calls back because their issue has not been resolved to their satisfaction.

Wireless 127

Wireless Contact Center Average Handle Time Analytics 127

AWS Machine Learning

AUGUST 8, 2024

Prerequisites To implement the solution, you should have an AWS account , model access to your choice of FM on Amazon Bedrock, and familiarity with DynamoDB, Amazon RDS, and Amazon S3. After access is provided to a model, it is available for the users in the account. Access to Amazon Bedrock FMs isn’t granted by default.

Engineering 130

Engineering Accountability Feedback Construction 130

Totango

JANUARY 26, 2021

Read on to learn what churn is, how an attrition analysis can help you pinpoint why you’re losing customers, and what steps you can take to prevent customer churn. A churn analysis offers a tool designed precisely for this purpose. What Is a Customer Churn Analysis? How Do You Prevent Common Causes of Customer Churn?

Customer retention 92

Customer retention Sales Marketing Big data 92

C3Centricity

OCTOBER 12, 2014

Big data and analytics, with how they will impact predictive modelling and the marketing mix. Following on from the opportunities of Big Data, the next concern is Marketing Accountability and its ROI. Start with the right question and then use the data you have to answer it. (>> Tweet this <<).

Marketing 69

Marketing Big data Analytics Accountability 69

Calabrio

NOVEMBER 25, 2020

Technology is continuously enabling convenient consumer options, such as account balance notifications for banking and same-day delivery and price-matching features for online shopping. Technology is also creating new opportunities for contact centers to not only better serve customers but also gain deep insights through Big Data.

Contact Center 122

Contact Center Self service Analytics Banking 122

AWS Machine Learning

DECEMBER 7, 2023

SARIMA extends ARIMA by incorporating additional parameters to account for seasonality in the time series. These additional variables are considered in the model to improve forecasting accuracy by accounting for external influences beyond the historical values of the time series.

Management 133

Management Engineering Analytics Construction 133

AWS Machine Learning

AUGUST 21, 2023

In this post, we show how to use Lake Formation as a central data governance capability and Amazon EMR as a big data query engine to enable access for SageMaker Data Wrangler. Solution overview We demonstrate this solution with an end-to-end use case using a sample dataset, the TPC data model.

Engineering 98

Engineering Accountability Big data Sales 98

AWS Machine Learning

DECEMBER 14, 2023

The result of the semantic segmentation prediction as well as the overflow detection are then stored in Amazon DynamoDB and Amazon S3 for downstream analysis. 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. Ion Kleopas is a Sr.

Engineering 118

Engineering Big data outsourcing Education 118

Lumoa

SEPTEMBER 30, 2022

According to Samsung, 77% of customers still seek in-person assistance when facing an unusual or complex account issue. . Improving Products and Services Through Big Data. Big data, which is the vast amount of information collected from different customer touchpoints, has already fueled the growth of the financial industry. .

Banking 88

Banking Customer Experience Big data Chatbots 88

AWS Machine Learning

NOVEMBER 27, 2024

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. account } WHERE { ?asset

Enterprise 114

Enterprise APIs Accountability Engineering 114

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. With capabilities like sentiment analysis, AI can detect customer moods and adjust interactions accordingly, ensuring that the customer feels heard and understood throughout their journey.

Call Center 105

Call Center Chatbots Virtual Agent Contact Center 105

AWS Machine Learning

JUNE 24, 2022

After the data scientists have proven that ML can solve the business problem and are familiarized with SageMaker experimentation, training, and deployment of models, the next step is to start productionizing the ML solution. In the same account, Amazon SageMaker Feature Store can be hosted, but we don’t cover it this post.

Enterprise 127

Enterprise Engineering Accountability APIs 127

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. With capabilities like sentiment analysis, AI can detect customer moods and adjust interactions accordingly, ensuring that the customer feels heard and understood throughout their journey.

Call Center 104

Call Center Chatbots Virtual Agent Contact Center 104

AWS Machine Learning

NOVEMBER 24, 2023

In contrast, the data science and analytics teams already using AWS directly for experimentation needed to also take care of building and operating their AWS infrastructure while ensuring compliance with BMW Group’s internal policies, local laws, and regulations. A data scientist team orders a new JuMa workspace in BMW’s Catalog.

Engineering 107

Engineering Analytics Self service Government 107

AWS Machine Learning

JUNE 25, 2024

To replicate the dashboard in your AWS account, follow the contextual conversational assistant instructions to set up the prerequisite example prior to creating the dashboard using the steps below. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera.

Metrics 129

Metrics APIs Government Big data 129

AWS Machine Learning

SEPTEMBER 21, 2022

Thanks to the predictions generated by our model, we now want to make an analysis of a potential financial outcome to make data-driven business decisions about potential promotions for these clients and regions. and Account Length to Group by. Enter a title (for this post, we rename our dashboard Churn analysis ).

Metrics 97

Metrics Marketing Big data Banking 97

AWS Machine Learning

JUNE 17, 2024

Prerequisites To implement the solution provided in this post, you should have an AWS account , a SageMaker domain to access Amazon SageMaker Studio , and familiarity with SageMaker, Amazon S3, and PrestoDB. to set up PrestoDB on an Amazon Elastic Compute Cloud (Amazon EC2) instance in your account.

Scripts 130

Scripts Engineering Metrics Big data 130

AWS Machine Learning

MARCH 22, 2023

An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. You must configure the IdP to use ANY Role to use the default role associated with the Snowflake account.

APIs 97

APIs Engineering Analytics Scripts 97

TechSee

MARCH 7, 2019

Companies that measure and hold reps accountable for the overall outcome of an episode, considering the emotional impact on customers, the frequency of the issue and overall company costs, find that they earn the loyalty of both their customers and agents.

Gamification 104

Gamification Contact Center Agent Empowerment Self service 104

AWS Machine Learning

MARCH 10, 2023

Data Wrangler enables you to access data from a wide variety of popular sources ( Amazon S3 , Amazon Athena , Amazon Redshift , Amazon EMR and Snowflake) and over 40 other third-party sources. Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML. Click Import.

Engineering 102

Engineering Big data Enterprise Analytics 102

Totango

SEPTEMBER 1, 2022

The traditional fixed quarterly review is being replaced by real-time performance monitoring and artificial intelligence data analysis, enabling you to stay engaged with clients between scheduled reviews. An analysis of factors contributing to performance, particularly any causing gaps between goals and performance.

SaaS 101

SaaS Journey mapping Upselling Best practices 101

AWS Machine Learning

FEBRUARY 2, 2023

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1

Calibration 95

Calibration Engineering Big data Automotive 95

AWS Machine Learning

FEBRUARY 29, 2024

Prerequisites You should have the following prerequisites before deploying this solution: An AWS account SageMaker Studio A SageMaker role with Amazon S3 read/write and AWS KMS encrypt/decrypt permissions An S3 bucket for storing data, scripts, and model artifacts Optionally, the AWS Command Line Interface (AWS CLI) Python3 (Python 3.7

Scripts 129

Scripts Engineering Metrics Best practices 129

Totango

DECEMBER 16, 2020

Another of the most important new trends in customer success is the application of big data analytics methods powered by artificial intelligence. AI works by spotting trends in large amounts of data which would be invisible to the naked eye when viewed manually. Incorporate AI for Smarter Success Solutions.

Journey mapping 72

Journey mapping Best practices Accountability Big data 72