Totango

DECEMBER 1, 2021

An agile approach brings the full power of big data analytics to bear on customer success. An agile approach to CS management can be broken down into seven steps: Document your client’s requirements. Document Your Client’s Requirements. Standardize your documentation approach by developing a requirements template.

Government 103

Government Journey mapping Accountability Benchmark 103

AWS Machine Learning

JULY 19, 2023

Amazon SageMaker Model Cards enable you to standardize how models are documented, thereby achieving visibility into the lifecycle of a model, from designing, building, training, and evaluation. SageMaker model cards document critical details about your ML models in a single place for streamlined governance and reporting.

Government 91

Government Best practices Metrics Enterprise 91

AWS Machine Learning

FEBRUARY 2, 2024

Overview of RAG The RAG pattern lets you retrieve knowledge from external sources, such as PDF documents, wiki articles, or call transcripts, and then use that knowledge to augment the instruction prompt sent to the LLM. Before you can start question and answering, embed the reference documents, as shown in the next section.

Big data 111

Big data Technology Management Engineering 111

ClearAction

APRIL 18, 2015

Use group sharing engines to share documents with strategies and knowledge across departments. Focus employee metrics more on CX enabling behaviors, less on survey ratings. Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. —@tcrawford. —@EngageGXD.

Customer Experience 96

Customer Experience Employee engagement Big data Customer centricity 96

AWS Machine Learning

MARCH 3, 2023

The configuration tests include objective metrics such as F1 scores and Precision, and tune algorithm hyperparameters to produce optimal scores for these metrics. With faster model training times, you can focus on understanding your data and analyzing the impact of the data, and achieve effective business outcomes.

Benchmark 88

Benchmark Big data Banking Analytics 88

AWS Machine Learning

DECEMBER 1, 2022

In this post, we explore how companies can improve visibility into their models with centralized dashboards and detailed documentation of their models using two new features: SageMaker Model Cards and the SageMaker Model Dashboard. With the SageMaker Python SDK, you can seamlessly update the Model card with evaluation metrics.

Government 91

Government Metrics APIs Engineering 91

AWS Machine Learning

MARCH 15, 2024

Create an MLOps deployment package As a part of the FedML documentation, we need to create the client and server packages, which the MLOps platform will distribute to the server and clients to begin training. He entered the big data space in 2013 and continues to explore that area.

Healthcare 119

Healthcare Big data Engineering Accountability 119

AWS Machine Learning

FEBRUARY 1, 2024

This pipeline could be a batch pipeline if you prepare contextual data in advance, or a low-latency pipeline if you’re incorporating new contextual data on the fly. In the batch case, there are a couple challenges compared to typical data pipelines. He entered the big data space in 2013 and continues to explore that area.

Best practices 131

Best practices Engineering SaaS APIs 131

TechSee

DECEMBER 5, 2017

We have also seen an uplift in almost all of our success metrics along the customer journey.”. Founded in 2015 and based in the US and Moldova, Retently helps businesses understand and interact with their customers using Net Promoter Score® (NPS®), a customer satisfaction metric and an alternative to traditional loyalty surveys.

Contact Center 116

Contact Center Technology Self service Call Center 116

SharpenCX

NOVEMBER 18, 2020

Ask any contact center leader for data and you’ll likely end up with a hefty pile of metrics and analytics. Most companies can pull up copious documents, spreadsheets and reports with endless data and analytics. But too often, that data just sits there, gathering digital dust.

Contact Center 67

Contact Center Big data Coaching Metrics 67

AWS Machine Learning

DECEMBER 18, 2023

In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud. Next, choose Batch prediction, and click Select dataset.

Finance 120

Finance APIs Analytics Big data 120

AWS Machine Learning

JUNE 17, 2024

The HyperparameterTuner class is used for running automatic model tuning to determine the set of hyperparameters that provide the best performance based on a user-defined metric threshold (for example, maximizing the AUC metric). This step registers the model only if the given user-defined metric threshold is met.

Scripts 116

Scripts Engineering Metrics Big data 116

Lumoa

SEPTEMBER 30, 2022

Real-time payments have well-documented advantages for both banks and customers, plus this type of technology is already a standard in many financial institutions. . Improving Products and Services Through Big Data. In the past, the biggest challenge wasn’t the collection, but the analysis and interpretation of this data.

Banking 88

Banking Customer Experience Big data Chatbots 88

AWS Machine Learning

JULY 21, 2022

As a result, this experimentation phase can produce multiple models, each created from their own inputs (datasets, training scripts, and hyperparameters) and producing their own outputs (model artifacts and evaluation metrics). We also illustrate how you can track your pipeline workflow and generate metrics and comparison charts.

Metrics 89

Metrics Scripts Enterprise Telecommunications 89

AWS Machine Learning

JULY 14, 2022

The notebook also provides a sample dataset to run Fiddler’s explainability algorithms and as a baseline for monitoring metrics. To simplify this further, the code for this Lambda function is publicly available from Fiddler’s documentation site. He founded his own big data analytics consulting company, Branchbird, in 2012.

Enterprise 87

Enterprise Engineering Analytics Big data 87

Lumoa

MAY 16, 2024

This includes unit tests for data preprocessing steps, integration tests for model training pipelines, and performance tests for evaluating model accuracy. Version Control for Data and Models : Use tools that support version control not just for code, but also for datasets and models.

Engineering 78

Engineering Banking Metrics Big data 78

Natalie Petouhof

OCTOBER 12, 2016

In addition, products included in this document meet the threshold criteria for this category as determined by Constellation Research. Big data monitoring and data visualization  . Tweet Digital Performance Management provides companies with the analytics to determine if their customer experience is optimized.

Management 55

Management Big data Analytics Engineering 55

AWS Machine Learning

DECEMBER 21, 2022

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table.

Scripts 84

Scripts Engineering APIs Big data 84

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. Objective Data conversion for storage and retrieval. Scope Limited to data and documents. Efficiency and automation of existing workflows.

CRM 40

CRM Analytics Automotive Technology 40

Branch Mesenger

MAY 2, 2018

Gone went giant, word-packed binders of documents, and the faceless training, and mindless programming. Using Big Data to Make Leadership Advances in the Workplace. While surveys that lead to these results are historically what we’ve had to understand engagement metrics, analytics are far more important.

Engineering 74

Engineering Morale Employee engagement Big data 74

AWS Machine Learning

SEPTEMBER 30, 2022

Security is a big-data problem. Its widespread use and the general perception that such documents are airtight and static have lulled users into a false sense of security. It then chooses the hyperparameter values that result in a model that performs the best, as measured by a metric for the given ML task.

Scripts 91

Scripts Engineering Metrics Big data 91

AWS Machine Learning

JULY 25, 2022

For detailed instructions on how to use the DGL-KE, refer to Training knowledge graph embeddings at scale with the Deep Graph Library and DGL-KE Documentation. With other standard metrics, the improvement ranged from 50–130%. Compute the top 100 highest scores for each trader. Packaging the solution as a scalable workflow.

Scripts 82

Scripts Engineering Analytics APIs 82

Spearline

JANUARY 23, 2018

” How about full endpoint documentation for all our products. But that’s not all… 2018 is going to be The Year of Data Analysis! Big data is here and we have plenty of it. We do this across PSTN, Mobile and SIP into and out of 63 countries worldwide, and as for big data… we have it!

Benchmark 40

Benchmark Call flow APIs Big data 40

AWS Machine Learning

SEPTEMBER 9, 2022

In the artificial intelligence (AI) space, athenahealth uses data science and machine learning (ML) to accelerate business processes and provide recommendations, predictions, and insights across multiple services. Each project maintained detailed documentation that outlined how each script was used to build the final model.

Engineering 87

Engineering Healthcare APIs Scripts 87

AWS Machine Learning

MAY 10, 2023

Exploring, analyzing, interpreting, and finding trends in data is essential for businesses to achieve successful outcomes. 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.

Accountability 88

Accountability Enterprise Big data Management 88

AWS Machine Learning

APRIL 24, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. We invoke a Lambda function to validate that the training data path exists, and then trigger an Amazon Comprehend training job.

Customer Experience 70

Customer Experience APIs Feedback Chatbots 70

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 93

Benchmark Banking Analytics Big data 93

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. or "Does Service Level include Calls abandoned?").

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

MAY 8, 2023

The MLflow Python SDK provides a convenient way to log metrics, runs, and artifacts, and it interfaces with the API resources hosted under the namespace /api/. More information can be found in the official MLflow documentation. At this point, the MLflow SDK only needs AWS credentials.

APIs 81

APIs Government Accountability Scripts 81

Vistio

OCTOBER 5, 2021

And you can look at various specific areas such as data analytics, big data, being able to study patterns within data, using artificial intelligence or using machine learning to actually gather up every customer interaction, and remember the original problem and the solution. This kind of thing really helps the agents.

Contact Center 52

Contact Center Chatbots Banking Technology 52

AWS Machine Learning

JANUARY 26, 2024

Accelerate your security and AI/ML learning with best practices guidance, training, and certification AWS also curates recommendations from Best Practices for Security, Identity, & Compliance and AWS Security Documentation to help you identify ways to secure your training, development, testing, and operational environments.

Best practices 137

Best practices Government Engineering Accountability 137

AWS Machine Learning

SEPTEMBER 18, 2024

It provides a unified interface for logging parameters, code versions, metrics, and artifacts, making it easier to compare experiments and manage the model lifecycle. He is passionate about machine learning engineering, distributed systems, and big-data technologies. Similarly to Airflow, MLflow is also used just partially.

APIs 112

APIs Engineering Analytics Marketing 112

AWS Machine Learning

AUGUST 2, 2024

The Product Stewardship department is responsible for managing a large collection of regulatory compliance documents. Example questions might be “What are the restrictions for CMR substances?”, “How long do I need to keep the documents related to a toluene sale?”, or “What is the reach characterization ratio and how do I calculate it?”

APIs 111

APIs Analytics Chatbots Engineering 111

AWS Machine Learning

DECEMBER 2, 2024

When a query arises, analysts must engage in a time-consuming process of reaching out to subject matter experts (SMEs) and go through multiple policy documents containing standard operating procedures (SOPs) relevant to the query. They spend hours consulting SMEs and reviewing extensive policy documents.

Finance 88

Finance Engineering Big data Metrics 88

Balto

SEPTEMBER 12, 2023

The Need for Understanding Customer Desires in Customer Experience Management A predictive analytics solution collects huge amounts of data across different customer touchpoints and calculates relevant metrics from your customers’ interactions, such as handling time, agent behavior, queue length, and other relevant call center metrics and KPIs.

Customer Experience 52

Customer Experience Customer centricity Coaching Analytics 52

AWS Machine Learning

MARCH 5, 2025

With deterministic evaluation processes such as the Factual Knowledge and QA Accuracy metrics of FMEval , ground truth generation and evaluation metric implementation are tightly coupled. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.

Best practices 76

Best practices Enterprise Metrics Benchmark 76

AWS Machine Learning

NOVEMBER 13, 2024

Model cards are an essential component for registered ML models, providing a standardized way to document and communicate key model metadata, including intended use, performance, risks, and business information. Train your ML model with the prepared data and register the candidate model package version with training metrics.

Government 102

Government Engineering Metrics APIs 102