Callminer

JULY 15, 2019

We are mirroring these events broadcast in US and UK friendly time zones, like a 3-day long concert, with themes each day highlighting: Tuesday, July 23rd Agent Performance and Contact Center Efficiency. Webinarstock Calendar of Events. Link for WebinarStock US Sessions. Link for WebinarStock UK Sessions.

Contact Center 28

Contact Center Telecommunications Analytics Employee engagement 28

AWS Machine Learning

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. For the SageMaker Processing job, you can configure the Spark event log location directly from the SageMaker Python SDK.

Scripts 97

Scripts Engineering Big data Management 97

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 addition, this module gives best practice guidance on OU and account structures that are appropriate for supporting your ML and analytics workflows.

Government 135

Government Engineering Accountability Enterprise 135

Totango

DECEMBER 16, 2020

Out-of-the-box templates automate the process of defining measurable customer goals, establishing key performance indicators, promoting best practices and tracking performance. Another of the most important new trends in customer success is the application of big data analytics methods powered by artificial intelligence.

Journey mapping 72

Journey mapping Best practices Accountability Big data 72

AWS Machine Learning

OCTOBER 27, 2022

To achieve these operational benefits, they implemented a number of best practice processes, including a fast data iteration and testing cycle, and parallel testing to find optimal data combinations. 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

AWS Machine Learning

SEPTEMBER 9, 2022

The crawler wrote the schema metadata to the AWS Glue Data Catalog, providing a unified metadata store for data sharing. The ETL and ELT jobs were required to run on either a set schedule or event-driven workflow. Data Engineer for Amp on Amazon. Apache Airflow is an open-source Python-based workflow management platform.

Analytics 97

Analytics Engineering Metrics APIs 97

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

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

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. At this point, an S3 event notification triggers the Lambda function, which starts the state machine. On the Amazon S3 console, navigate to the bucket PollyBlogBucket.

Engineering 98

Engineering APIs Education Best practices 98

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. The feature groups for our use case are shown in the following table.

Engineering 98

Engineering Analytics APIs Enterprise 98

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 98

Transportation APIs Big data Wireless 98

AWS Machine Learning

OCTOBER 14, 2024

Entities design considerations When designing fine-grained data access controls, it is best practice to start with the entity-relationship diagram (ERD) for the application. If this results in a performance issue, you can use the BatchIsAuthorized API and send multiple authzRequest in one API call.

APIs 98

APIs Construction Government Big data 98

AWS Machine Learning

AUGUST 29, 2023

Refer to Operating model for best practices regarding a multi-account strategy for ML. Batch inference The SageMaker batch inference pipeline runs on a schedule (via EventBridge) or based on an S3 event trigger as well. It only supports S3 event-based triggers for running the SageMaker training and inference pipelines.

Scripts 98

Scripts APIs Enterprise Accountability 98

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 123

Scripts Accountability Best practices Engineering 123

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. His knowledge ranges from application architecture to big data, analytics, and machine learning.

Accountability 101

Accountability Enterprise Big data Management 101

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. To learn more about the latest QuickSight features and best practices, see AWS Big Data Blog.

Metrics 98

Metrics Marketing Big data Banking 98

aircall

MARCH 19, 2021

With all the available customer data companies have at their disposal to enhance the performance of customer service, sales, and marketing efforts, a remarkable 73% of companies still do not use it effectively. And out of those who do practise data collection, only 12% analyze it. Best Practices of Customer Data Management.

Sales 62

Sales CRM Marketing Best practices 62

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

Calabrio

APRIL 25, 2017

While this data is often richer and more complete than real-time data feeds, batch-loading is relatively inefficient for handling very large amounts of real-time data, and performance can suffer when the “refresh” intervals get shortened to minutes, or even seconds. The birth of Big Data.

Multichannel 40

Multichannel Contact Center Big data Metrics 40

Natalie Petouhof

FEBRUARY 22, 2016

The sessions covered numerous topics but shared a common goal: Helping customers with best practices in making IoT solutions a reality, looking past the hype and learning from right-sized examples. Throughout the event, one of the most prevalent themes that emerged was the disruptive role IoT is playing in business already.

Best practices 40

Best practices Consulting Consulting Enterprise 40

ChurnZero

JUNE 3, 2022

You can always rely on me to do that for family events, for work, for college events. I would have thought it’d be big data, etc. We moved into as-a-service—whether it’s software, content, food—then the pricing models follow, then the service models follow, and then the best practices follow.

SaaS 52

SaaS B2B Upselling Metrics 52

ChurnZero

JUNE 3, 2022

You can always rely on me to do that for family events, for work, for college events. I would have thought it’d be big data, etc. We moved into as-a-service—whether it’s software, content, food—then the pricing models follow, then the service models follow, and then the best practices follow.

SaaS 52

SaaS B2B Upselling Metrics 52

aircall

JUNE 2, 2021

Share materials, such as discount codes and event invitations. Read our article to find out more best practices for SMS texting. AI and big data are more available now in customer service programs and tools. Answer customer inquiries in real-time. Leverage Digital Programs and Tools.

Personalization 62

Personalization Customer Service B2B Self service 62

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 139

Best practices Government Engineering Accountability 139

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. Here we’ll show you how to update your SaaS QBR strategy to keep up with the latest technology and best practices.

SaaS 104

SaaS Journey mapping Upselling Best practices 104

Customer Interactions

MAY 3, 2013

This year it was held in sunny Orlando, where over 2,000 NICE customers and business and technology partners shared information and best practices, and learned about new solutions for their organizations. What a great event from every perspective!

voip 43

voip Big data Education Best practices 43

Stratifyd

DECEMBER 20, 2018

Research, write and edit original SEO ready content for company websites, blogs, online communication, and content assets including emails, newsletters, social, events, etc. Write/produce internal newsletter, wrap-ups on events for social media and blogs. Experience and/or knowledge of AI, Big Data, Tech.

Marketing 40

Marketing Brand ambassadors Big data Healthcare 40

Jon Arnold

AUGUST 5, 2021

The current semiconductor shortage is more than just instructive as to why resilience is so important for global supply chains, but also for how we collectively respond to events that pose real threats to our sustainability as a planet. What’s the big deal about semiconductors? What actually happened in 2020 to create this problem?

Management 52

Management Wireless Technology Big data 52

AWS Machine Learning

MARCH 5, 2025

In this post, we discuss best practices for applying LLMs to generate ground truth for evaluating question-answering assistants with FMEval on an enterprise scale. By following these guidelines, data teams can implement high fidelity ground truth generation for question-answering use case evaluation with FMEval.

Best practices 79

Best practices Enterprise Metrics Benchmark 79

AWS Machine Learning

OCTOBER 16, 2024

Generate metadata Now that DPG Media has the transcription of the audio files, they use LLMs through Amazon Bedrock to generate the various categories of metadata (summaries, genre, mood, key events, and so on). To evaluate the metadata quality, the team used reference-free LLM metrics, inspired by LangSmith.

Engineering 120

Engineering Metrics APIs Big data 120

AWS Machine Learning

NOVEMBER 7, 2024

We explored multiple big data processing solutions and decided to use an Amazon SageMaker Processing job for the following reasons: It’s highly configurable, with support of pre-built images, custom cluster requirements, and containers. He enjoys traveling and reading about historical events.

Engineering 115

Engineering Automotive Finance Government 115

AWS Machine Learning

APRIL 16, 2025

He helps customers modernize, scale, and adopt best practices for their containerized workloads. With his extensive expertise in the AWS Cloud and big data, Sudheer plays a pivotal role in assisting customers with enhancing their monitoring and observability capabilities within AWS offerings.

APIs 97

APIs Engineering Accountability Enterprise 97

AWS Machine Learning

NOVEMBER 13, 2024

We discuss the solution architecture and best practices for managing model cards with a registered model version, and walk through how to set up, operationalize, and govern your models using the integration in the model registry. medium", "ml.m5.large"], large"], transform_instances=["ml.m5.large"], medium", "ml.m5.xlarge"],

Government 115

Government Engineering Metrics APIs 115

AWS Machine Learning

FEBRUARY 7, 2025

The lead data scientist approves the model locally in the ML Dev Account. This step consists of the following sub-steps: After the data scientists approve the model, it triggers an event bus in Amazon EventBridge that ships the event to the ML Shared Services Account. However, the journey doesnt stop here.

Government 65

Government Engineering Accountability Best practices 65