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 69

Engineering Metrics APIs Big data 69

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 74

Calibration Engineering Big data Automotive 74

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. The predicted value indicates the expected value for our target metric based on the training data.

Metrics 89

Metrics Analytics APIs Big data 89

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Data Engineer for Amp on Amazon.

Analytics 69

Analytics Engineering APIs Metrics 69

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.

Upselling 52

Upselling SaaS CRM Multi-channel support 52

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 97

APIs Best practices Metrics Government 97

Totango

SEPTEMBER 1, 2022

In addition to relying on outdated data, the traditional QBR model fails to take advantage of the latest tools for agile innovation in digital technology, AI, and big data analytics. Today’s competitive SaaS company needs a digital, data-driven, AI-powered approach to QBRs for SaaS. Reimagining the SaaS QBR .

SaaS 98

SaaS Journey mapping Upselling Best practices 98

Aria Solutions

JUNE 8, 2017

Most contact centers use interaction data to justify or support contact center metrics, such as average call handle time, speed of answer, abandonment and even first call resolution. But when you think about it, doesn’t it make more sense to capture data at the event and interaction level?

Contact Center 48

Contact Center Big data First call resolution Metrics 48

CustomerSuccessBox

MAY 30, 2022

To identify a watermelon customer, the metric that would help you the most is instead the Customer Intent Score. The Customer Intent Score is a metric that measures a visitor’s willingness to accomplish a conversion goal, for example- a request for further information. Product telemetry data. But what does it tell?

Upselling 52

Upselling Calibration Engineering Big data 52

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? and Now What?’

Contact Center 48

Contact Center Healthcare Best practices Call Center 48

Real Blue Sky

NOVEMBER 16, 2022

Their Early Warning System analyzes over one million events each week to make predictions on car parts that will need to be changed or repaired. In fact, tracking customer sentiment is now such an essential metric that 64% of companies consider following customer sentiment analysis critical for measuring #CX.

Customer Experience 52

Customer Experience Chatbots CRM Analytics 52

Real Blue Sky

NOVEMBER 16, 2022

Their Early Warning System analyzes over one million events each week to make predictions on car parts that will need to be changed or repaired. In fact, tracking customer sentiment is now such an essential metric that 64% of companies consider following customer sentiment analysis critical for measuring #CX.

Customer Experience 52

Customer Experience Chatbots CRM Analytics 52

Real Blue Sky

NOVEMBER 16, 2022

Their Early Warning System analyzes over one million events each week to make predictions on car parts that will need to be changed or repaired. In fact, tracking customer sentiment is now such an essential metric that 64% of companies consider following customer sentiment analysis critical for measuring #CX.

Customer Experience 52

Customer Experience Chatbots CRM Analytics 52

JivoChat

FEBRUARY 16, 2022

AI marketing tools can help you in different aspects, for example, to enhance the quality of your content, make data-driven decisions, analyze performance, have new insights, and much more. . The Content Marketing Semrush tool helps you to plan and execute data-driven strategies based on your target audience’s needs. .

Marketing 52

Marketing Advertising Analytics Benchmark 52

AWS Machine Learning

JANUARY 26, 2024

Plan for rollback and recovery from production security events and service disruptions such as prompt injection, training data poisoning, model denial of service, and model theft early on, and define the mitigations you will use as you define application requirements. Ram Vittal is a Principal ML Solutions Architect at AWS.

Best practices 119

Best practices Government Engineering Accountability 119

Xaqt

FEBRUARY 6, 2020

Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. Go ask the person in Public Works responsible for managing your street lights what they think about dynamically adjusting the luminosity based on real-time events happening in the parking department.

Contact Center 52

Contact Center Enterprise Call Center APIs 52

AWS Machine Learning

APRIL 21, 2023

This step uses the built-in ProcessingStep with the provided code, evaluation.py , to evaluate performance metrics (accuracy, area under curve). Configure the baseline step To monitor the model and data, a baseline is required. Monitoring for data drift requires a baseline of training data. medium', 'ml.m5.xlarge'],

Metrics 73

Metrics Telecommunications Analytics Healthcare 73

CX Journey

AUGUST 29, 2018

Despite what feels like a lifetime of various Customer Experience events, books, and consultants – all too often we still experience bad service. From cloud computing solutions and use of big data to organisational alignment and Bring Your Own Attitude. But, more widely, all is still not well in the CX garden.

Consulting 34

Consulting Consulting Big data Banking 34

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. org; Twitter: @Loyalty360.

Big data 140

Big data Analytics Metrics Sales 140

Talkdesk

APRIL 21, 2017

This is just a teaser into the content we’ll be discussing at the event, but remember the only way to hear these incredible thought leaders for yourself is to buy a ticket. Turning Big Data Into Big Decisions. Customers create an overwhelming amount of data; some of it is valuable to brands and some of it is noise.

Contact Center 40

Contact Center Customer centricity Construction Technology 40

AWS Machine Learning

MARCH 15, 2024

When training is complete, choose the System tab to see the training time durations on your edge servers and aggregation events. He entered the big data space in 2013 and continues to explore that area. Choose the Training Status tab and wait for the training run to complete. You can also navigate to the tabs available.

Healthcare 103

Healthcare Big data Engineering Accountability 103

AWS Machine Learning

NOVEMBER 9, 2023

Policy 6 – Attach CloudWatchEventsFullAccess , which is an AWS managed policy that grants full access to CloudWatch Events. She holds a master’s degree in Computer Science specialized in Data Science from the University of Colorado, Boulder. Data Lake Architect with AWS Professional Services. Sunita Koppar is a Sr.

Scripts 97

Scripts Accountability Engineering Best practices 97

SmartKarrot

MAY 26, 2022

This data goes unused cause the company does not have the tools and technology to understand, capture, or make sense of it. The Role of the Modern CEO in creating a data-driven culture. Data has been recognized as a need. For example- You can share a dashboard of the key metrics that matter across the company.

Education 10

Education Analytics SaaS Surveys 10

SmartKarrot

JANUARY 28, 2022

Last year was quite eventful for the CS world, to say the least. AI and ML can help you generate metadata data, engagement data, and product adoption data to learn the renewal history that helps decode what drives the renewals and upsells. The metrics used to evaluate customer success will become less sophisticated.

B2B 10

B2B SaaS Upselling Metrics 10

AWS Machine Learning

OCTOBER 1, 2022

Introducing Pressure Handling, a new Bundesliga Match Fact that aims to evaluate the performance of a frequently pressed player using different metrics. 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. Examples of escapes.

Consulting 76

Consulting Consulting Telecommunications Big data 76

AWS Machine Learning

DECEMBER 18, 2023

The triggers need to be scheduled to write the data to S3 at a period frequency based on the business need for training the models. When the model is ready, select the model and click on the latest version Review the model metrics and column impact and if you are satisfied with the model performance, click Predict.

Finance 102

Finance APIs Analytics Scripts 102

AWS Machine Learning

JULY 29, 2022

Customer satisfaction is a potent metric that directly influences the profitability of an organization. Vamshi Krishna Enabothala is a Senior AI/ML Specialist SA at AWS with expertise in big data, analytics, and orchestrating scalable AI/ML architectures for startups and enterprises. You can follow Prem’s work on LinkedIn.

Contact Center 94

Contact Center Interactive Voice Response Self service Accountability 94

AWS Machine Learning

SEPTEMBER 21, 2022

To achieve this, companies want to understand industry trends and customer behavior, and optimize internal processes and data analyses on a routine basis. When looking at these metrics, business analysts often identify patterns in customer behavior, in order to determine whether the company risks losing the customer. Choose Visualize.

Metrics 80

Metrics Marketing Big data Banking 80

AWS Machine Learning

DECEMBER 1, 2022

With the SageMaker Python SDK, you can seamlessly update the Model card with evaluation metrics. Model cards provide model risk managers, data scientists, and ML engineers the ability to perform the following tasks: Document model requirements such as risk rating, intended usage, limitations, and expected performance.

Government 77

Government Metrics APIs Engineering 77

AWS Machine Learning

JULY 14, 2022

Before you can begin publishing events from your SageMaker hosted model into Fiddler, you need to create a project within your Fiddler trial environment and provide Fiddler details about your model through a step called model registration. Now you can publish some events to Fiddler in order to observe the model’s performance.

Enterprise 75

Enterprise Engineering Analytics Big data 75

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of Big Data. Contact center reporting technology of the future.

Multichannel 56

Multichannel Contact Center Big data Metrics 56

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. This automated pipeline can then be triggered by simple events you define, without human intervention. Edge computing. Use case 1.

Transportation 76

Transportation APIs Big data Wireless 76

AWS Machine Learning

AUGUST 29, 2023

Batch inference The SageMaker batch inference pipeline runs on a schedule (via EventBridge) or based on an S3 event trigger as well. The batch inference pipeline includes steps for checking data quality against a baseline created by the training pipeline, as well as model quality (model performance) if ground truth labels are available.

Scripts 72

Scripts APIs Enterprise Accountability 72

ChurnZero

JUNE 3, 2022

VC and PE firms now ask founders about the metrics owned by CS teams, specifically NRR and GRR , within the first ten minutes of conversation. You can always rely on me to do that for family events, for work, for college events. Can you help me get that metric? I would have thought it’d be big data, etc.

SaaS 52

SaaS B2B Upselling Metrics 52

ChurnZero

JUNE 3, 2022

VC and PE firms now ask founders about the metrics owned by CS teams, specifically NRR and GRR , within the first ten minutes of conversation. You can always rely on me to do that for family events, for work, for college events. Can you help me get that metric? I would have thought it’d be big data, etc.

SaaS 52

SaaS B2B Upselling Metrics 52

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of Big Data. Contact center reporting technology of the future.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

Calabrio

APRIL 25, 2017

One of the most confounding challenges for modern contact center leaders is reporting on any performance metric that requires information from more than one system or application, each of which is a self-contained silo of data. Historic data. The birth of Big Data. Contact center reporting technology of the future.

Multichannel 40

Multichannel Contact Center Big data Metrics 40