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. Creating Customer Service Super Agents with Data, Tech and Coaching featuring Forrester.

Telecommunications 28

Telecommunications Contact Center Analytics Employee engagement 28

AWS Machine Learning

SEPTEMBER 9, 2022

Reflection time is the time it takes for a feature to be available to read after the contributing events were emitted, for example, the time between a listener liking a show and the PIT LikeCount feature being updated. Sources of the data are the backend services directly serving the app. Operational health. Conclusion.

Personalization 83

Personalization APIs Metrics Engineering 83

AWS Machine Learning

OCTOBER 14, 2024

Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. The App calls the Claims API Gateway API to run the claims proxy passing user requests and tokens. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs 83

APIs Construction Government Big data 83

AWS Machine Learning

OCTOBER 27, 2022

After data is loaded to Amazon S3, an S3 event triggers AWS Lambda and invokes AWS Step Functions as an orchestration tool. We use an AWS Glue job to process the data into an S3 bucket. We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket.

APIs 98

APIs Best practices Metrics Government 98

AWS Machine Learning

DECEMBER 18, 2023

The SageMaker Canvas UI lets you seamlessly integrate data sources from the cloud or on-premises, merge datasets effortlessly, train precise models, and make predictions with emerging data—all without coding. Solution overview Users persist their transactional time series data in MongoDB Atlas.

Finance 120

Finance APIs Analytics Big data 120

AWS Machine Learning

JUNE 24, 2022

This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. The first step of the CI/CD pipeline requests a manual approval by the lead data scientist (and optionally the product owner, business analyst, or other lead data scientists).

Enterprise 109

Enterprise Engineering Accountability APIs 109

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. In addition to creating a training dataset, we use the PutRecord API to put the 1-week feature aggregations into the online feature store nightly. Nov-01,22:01:00 1 74.99 …9843 99.50 Nov-01,22:05:05 4 200.00

Engineering 88

Engineering Analytics APIs Enterprise 88

AWS Machine Learning

FEBRUARY 13, 2024

Collaboration across teams – Shared features allow disparate teams like fraud, marketing, and sales to collaborate on building ML models using the same reliable data instead of creating siloed features. Audit trail for compliance – Administrators can monitor feature usage by all accounts centrally using CloudTrail event logs.

Accountability 124

Accountability Government Engineering Scripts 124

AWS Machine Learning

OCTOBER 29, 2024

AWS CloudTrail is also essential for maintaining security and compliance in your AWS environment by providing a comprehensive log of all API calls and actions taken across your AWS account, enabling you to track changes, monitor user activities, and detect suspicious behavior. Enable CloudWatch cross-account observability.

Government 92

Government Metrics Accountability APIs 92

AWS Machine Learning

AUGUST 29, 2023

When a new version of the model is registered in the model registry, it triggers a notification to the responsible data scientist via Amazon SNS. Batch inference The SageMaker batch inference pipeline runs on a schedule (via EventBridge) or based on an S3 event trigger as well.

Scripts 84

Scripts APIs Enterprise Accountability 84

AWS Machine Learning

SEPTEMBER 9, 2022

When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service. The Lambda function retrieves the desired show metadata, filters the metadata, and then sends the output metadata to Amazon Kinesis Data Streams. Data Engineer for Amp on Amazon.

Analytics 80

Analytics Engineering Metrics APIs 80

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. We set the OutputFormat to mp3 , which tells Amazon Polly to generate an audio stream for this API call. In the second branch, we invoke the Lambda function generate_speech_marks.py

Engineering 94

Engineering APIs Education Best practices 94

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. split(",")[-1] body_bytes = base64.b64decode(body_bytes)

APIs 71

APIs Scripts Engineering Technical Support 71

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. Find anomalies and evaluate anomalous events In a typical setup, the code to obtain anomalies is run in a Lambda function.

Metrics 111

Metrics Analytics APIs Big data 111

AWS Machine Learning

AUGUST 15, 2022

Named entity recognition (NER) is a natural language processing (NLP) sub-task that involves sifting through text data to locate noun phrases, called named entities, and categorizing each with a label, such as brand, date, event, location, organizations, person, quantity, or title. TDocumentSchema().load(response)

Banking 85

Banking APIs Accountability Analytics 85

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

Benchmark 93

Benchmark Banking Analytics Big data 93

AWS Machine Learning

MAY 3, 2023

Furthermore, SageMaker Processing provides an API interface for running, monitoring, and evaluating the workload. The managed cluster, instances, and containers report metrics to Amazon CloudWatch , including usage of GPU, CPU, memory, GPU memory, disk metrics, and event logging.

Engineering 83

Engineering Metrics APIs Big data 83

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. How do I eliminate the need of installing a big framework like TensorFlow or PyTorch on my restricted device? Edge computing. Use case 1.

Transportation 87

Transportation APIs Big data Wireless 87

AWS Machine Learning

DECEMBER 1, 2022

Trigger workflows using Amazon EventBridge integration for Model card status change events. Organizations can dive deep to identify which models have missing or inactive monitors and add them using SageMaker APIs to ensure all models are being checked for data drift, model drift, bias drift, and feature attribution drift.

Government 91

Government Metrics APIs Engineering 91

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

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

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

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. Predicting customer behavior based on spoken interactions provides contact centers with a powerful tool to drive greater business results.

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. Predicting customer behavior based on spoken interactions provides contact centers with a powerful tool to drive greater business results.

Analytics 40

Analytics Call Center Customer centricity Construction 40

SmartKarrot

FEBRUARY 3, 2022

EBANX features hosted pages, and developer APIs, among other features. Neoway is a market intelligence and Big Data platform that provides companies with important insights to help them grow. The company’s product SIMM, a sophisticated market data analytics platform, allows it to deliver accurate insights. Hi Platform.

SaaS 10

SaaS Real estate Construction Transportation 10

SmartKarrot

JUNE 23, 2020

Without analytics, collation of behavioural data is a waste. Without analytics, CS teams can only rely on insufficient demographic data, or what’s called ‘vanity metrics. So, as Streaming, Sharing, Stealing: Big Data and the Future of Entertainment co-author Michael D. This needs to nothing but data clutter.

Analytics 10

Analytics SaaS Upselling Entertainment 10

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.

Best practices 137

Best practices Government Engineering Accountability 137

AWS Machine Learning

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The integration with Amazon Bedrock is achieved through the Amazon Bedrock InvokeModel APIs.

Enterprise 75

Enterprise APIs Engineering Government 75

AWS Machine Learning

SEPTEMBER 21, 2022

This post shows how companies can introduce hundreds of employees to ML concepts by easily running AWS DeepRacer events at scale. Run AWS DeepRacer events at scale. Our post-event statistics indicate that up to 75% of all participants to DeepRacer events are new to AI/ML and 50% are new to AWS.”.

Accountability 70

Accountability APIs Enterprise Big data 70

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 111

Engineering Metrics APIs Big data 111

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.

Enterprise 96

Enterprise APIs Accountability Engineering 96

AWS Machine Learning

FEBRUARY 7, 2025

Our AI solution is offered in two forms: Model as a service (MaaS) Our AI model is accessible through an API, enabling seamless integration. The process begins when a customer uploads an image on Amazon S3 using a presigned URL provided by our API handling user authentication and authorization through Amazon Cognito.

Construction 65

Construction Analytics APIs Big data 65

AWS Machine Learning

NOVEMBER 13, 2024

Because SageMaker Model Cards and SageMaker Model Registry were built on separate APIs, it was challenging to associate the model information and gain a comprehensive view of the model development lifecycle. We walk through an example notebook to demonstrate how you can use this unification during the model development data science lifecycle.

Government 102

Government Engineering Metrics APIs 102