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 140

Healthcare Big data Engineering Accountability 140

AWS Machine Learning

JUNE 19, 2023

For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment. The preceding event is logged in AWS CloudTrail with the name AddMemberToGroup. The EventBridge rule triggers the target AWS Lambda function.

APIs 100

APIs Accountability Construction Enterprise 100

Customer Interactions

SEPTEMBER 12, 2013

Many other sensors and data sources will probably also be routed to PSAPs, such as LPR, gunshot detection, hazmat alerts, weather alerts, telematics, and even social media. While these sources of Big Data hold a lot of promise, they will create major challenges too. for a complete evidentiary record.

Big data 29

Big data Analytics Accountability Management 29

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 123

Enterprise Engineering Accountability APIs 123

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 111

Government Metrics Accountability APIs 111

AWS Machine Learning

FEBRUARY 2, 2023

One of the challenges when building predictive models for punt and kickoff returns is the availability of very rare events — such as touchdowns — that have significant importance in the dynamics of a game. Using a robust method to accurately model distribution over extreme events is crucial for better overall performance.

Calibration 98

Calibration Engineering Big data Automotive 98

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 135

Government Engineering Accountability Enterprise 135

AWS Machine Learning

OCTOBER 1, 2022

The following heuristic is used for computing the escape rate: We start with a series of pressure events, based on the existing Most Pressed Player Match Fact. Each event consists of a list containing all individual pressure events on the ball carrier during one individual ball possession (IBP) phase. Examples of escapes.

Consulting 110

Consulting Consulting Telecommunications Big data 110

AWS Machine Learning

NOVEMBER 9, 2023

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

Scripts 123

Scripts Accountability Best practices Engineering 123

AWS Machine Learning

OCTOBER 2, 2024

You can also use Amazon EventBridge to monitor events related to Amazon Bedrock. This allows you to create rules that invoke specific actions when certain events occur, enhancing the automation and responsiveness of your observability setup (for more details, see Monitor Amazon Bedrock ).

Government 131

Government APIs Enterprise Best practices 131

AWS Machine Learning

OCTOBER 23, 2024

The architecture employs an event-driven model, where the completion of one snap triggers the next step in the workflow. Continual enhancements for new models and additional authentication mechanisms have been released supporting AWS Identity and Access Management (IAM) role authentication and cross-account IAM role authentication.

Enterprise 92

Enterprise APIs Engineering Government 92

AWS Machine Learning

AUGUST 29, 2023

This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).

Scripts 98

Scripts APIs Enterprise Accountability 98

Natalie Petouhof

JUNE 15, 2015

While marketers have ample access to customer data, activating that data and engaging customers with relevant content across every channel is a significant challenge. To address this challenge, marketers are moving from manually executed batch and blast campaigns to event-triggered automation and real-time personalization.

Marketing 86

Marketing Advertising CRM Sales 86

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. Sharing data with QuickSight users grants them owner permissions on the dataset. Choose Next: Tags.

Accountability 101

Accountability Enterprise Big data Management 101

AWS Machine Learning

MAY 3, 2023

The managed cluster, instances, and containers report metrics to Amazon CloudWatch , including usage of GPU, CPU, memory, GPU memory, disk metrics, and event logging. Worse yet, memory could become an issue, resulting in either poor performance or out of memory events causing the entire job to fail.

Engineering 105

Engineering Metrics APIs Big data 105

The Northridge Group

MARCH 8, 2024

She recalls the advertising world being extremely demanding and stressful – the fear of being one step away from losing your job based on your accounts and client happiness. In 2019, Tressa and her husband would divorce, an event that impacted their then 10-year-old son much harder than they imagined. “He I felt a sense of relief.”

Consulting 138

Consulting Consulting Telecommunications Advertising 138

AWS Machine Learning

APRIL 18, 2023

By leveraging the latest data export schema , you can obtain sensors connectivity status, gateways connectivity status, measurement classification results, closure reason code and details of asset state transition events. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account.

Management 96

Management Analytics Enterprise Accountability 96

CSM Magazine

MARCH 31, 2020

Now, we’ve gone one step further, exploring the potential of AI to maintain ‘business as usual’ when unexpected events happen. at info@ebi.ai Existing customers should contact their account manager for more details. We are offering bots already pre-trained to answer the most frequently asked questions.

Automotive 59

Automotive Transportation Big data Analytics 59

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

AWS Machine Learning

JULY 19, 2022

The S3 event notification triggers the AWS Lambda function state_machine.py (not shown in the diagram), which invokes the Step Functions state machine. Before getting started, you must have the following prerequisites: An AWS account. At this point, an S3 event notification triggers the Lambda function, which starts the state machine.

Engineering 98

Engineering APIs Education Best practices 98

AWS Machine Learning

SEPTEMBER 11, 2024

SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously. SIMT describes processors that are able to operate on data vectors and arrays (as opposed to just scalars), and therefore handle big data workloads efficiently.

Benchmark 116

Benchmark Banking Analytics Big data 116

AWS Machine Learning

APRIL 19, 2023

An event time feature is also required, which enables the feature store to track the history of feature values over time. For each new transaction event, the Lambda function first retrieves the batch and streaming features from Feature Store. Prabhakar Chandrasekaran is a Senior Technical Account Manager with AWS Enterprise Support.

Engineering 98

Engineering Analytics APIs Enterprise 98

Cincom

JANUARY 31, 2025

Companies use advanced technologies like AI, machine learning, and big data to anticipate customer needs, optimize operations, and deliver customized experiences. Creating robust data governance frameworks and employing tools like machine learning, businesses tend derive actionable insights to achieve a competitive edge.

CRM 40

CRM Analytics Automotive Technology 40

CustomerSuccessBox

JUNE 20, 2022

A customer succes software is specialized software that takes the customer data from your existing tech stack to provide you with a 360-degree view of your customers and their account health. In general, this tool offloads the heavy work of tracking and managing all the customer success metrics. Turn down the churn rate.

Upselling 52

Upselling SaaS CRM Multi-channel support 52

AWS Machine Learning

AUGUST 3, 2023

Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account. file, which will be the main entry point of the Lambda function: def lambda_handler(event, context): body_bytes = json.loads(event["body"])["image"].split(",")[-1] Aamna Najmi is a Data Scientist with AWS Professional Services.

APIs 93

APIs Scripts Engineering Technical Support 93

AWS Machine Learning

DECEMBER 1, 2022

Trigger workflows using Amazon EventBridge integration for Model card status change events. The Model dashboard is a centralized repository of all models that have been created in the account. Access the Model card hub from the AWS Management Console. Create, edit, view, export, clone, and delete Model cards. SageMaker Model Dashboard.

Government 101

Government Metrics APIs Engineering 101

Taylor Reach Group

MAY 24, 2018

Whether you’re interested in speaking, exhibiting or simply attending these events, we wanted to keep everybody informed on the upcoming Contact Center and CX Events. Learn from industry experts and your peers in almost 80 different sessions during this exciting event. Is it possible to achieve churn reduction?

Contact Center 48

Contact Center Healthcare Call Center Best practices 48

AWS Machine Learning

OCTOBER 27, 2022

We also use AWS Glue to conduct ETL (extract, transform, and load), read data covering the target SKUs across a meaningful time range, and load data to Amazon S3 with an indicated prefix. After data is loaded to Amazon S3, an S3 event triggers AWS Lambda and invokes AWS Step Functions as an orchestration tool.

APIs 98

APIs Best practices Metrics Government 98

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

Fonolo

SEPTEMBER 18, 2018

It’s not a big event (just one track over two days), but it is very focused. Spend enough time perusing corporations’ social accounts, and you’ll start to see distinct personas emerge: Wendy’s is catty; Arby’s is geeky; Charmin is, well, cheeky. I just returned from the excellent Conversational Commerce Conference.

Contact Center 65

Contact Center Advertising Big data Call Center 65

JivoChat

FEBRUARY 13, 2022

It’s implemented, for example, to collect and analyze data, enabling us to make data-driven decisions and to build customer profiles. . AI marketing can give a deeper understanding of the customer journey through big data analytics and machine learning. Account management. Increase ROI. Reduce Errors.

Marketing 52

Marketing Big data Analytics CRM 52

CustomerSuccessBox

DECEMBER 13, 2021

The reality is most traditional rule engines use only 1% of data to set up rules as with hundreds of data points, it is impossible for the human mind to comprehend, analyze, correlate and configure rules for Account health and alerts with accurate thresholds. Let’s get to the details….

Journey mapping 52

Journey mapping Customer advocacy Upselling Big data 52

AWS Machine Learning

SEPTEMBER 21, 2022

A very prominent part of the analyst role includes business metrics visualization (like sales revenue) and prediction of future events (like increase in demand) to make data-driven business decisions. and Account Length to Group by. To learn more about the latest QuickSight features and best practices, see AWS Big Data Blog.

Metrics 98

Metrics Marketing Big data Banking 98

CustomerSuccessBox

MAY 30, 2022

Now, the concern here is that as a CSM, you could easily overlook a ‘green’ customer account thinking it to be a healthy one! They’re a BIG churn risk. Out of 1000 data points, a mere 10-20 are monitored. Just imagine the enormity of untracked data. This data can uncover the underlying intent of the customer.

Upselling 52

Upselling Calibration Engineering Big data 52

Talkdesk

JANUARY 16, 2018

With technological advancements in speech recognition, artificial intelligence and big data, the spoken words in those calls can now be used to elicit actionable insights from spoken information. Using recorded call data to construct predictive models provides the means for automating call disposition.

Analytics 40

Analytics Call Center Customer centricity Construction 40

Talkdesk

JANUARY 16, 2018

With technological advancements in speech recognition, artificial intelligence and big data, the spoken words in those calls can now be used to elicit actionable insights from spoken information. Using recorded call data to construct predictive models provides the means for automating call disposition.

Analytics 40

Analytics Call Center Customer centricity Construction 40

Infinity

SEPTEMBER 25, 2018

Data analytics, conversational software, big data, and buyer profiles are just a few capabilities allowing companies to increase personalisation, with real business results. But how can you offer personalisation? The needle on Martech companies is moving more toward personalisation through multiple ways.

Personalization 45

Personalization Analytics Big data B2B 45