DataKitchen

APRIL 13, 2021

DataOps requires that teams measure their analytic processes in order to see how they are improving over time. A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Cynozure – Data and analytics strategy consulting. Great Data Minds – Data modernization consulting.

Testing 300

Testing Machine Learning Consulting Data Quality 300

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. The technology’s ability to adapt and learn from interactions further refines customer support metrics, including response time, accuracy of information provided, customer satisfaction and problem-resolution efficiency.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. In the model-fitting procedure, the modeler is then able to measure the impact of each factor against the outcome.

Risk 52

Risk Modeling Metrics Business Objectives 52

AWS Big Data

OCTOBER 26, 2023

Read on to understand why price-performance matters and how Amazon Redshift price-performance is a measure of how much it costs to get a particular level of workload performance, namely performance ROI (return on investment). Amazon Redshift delivers up to 4.9 times lower cost per user and up to 7.9

Data Warehouse 95

Data Warehouse Cost-Benefit Dashboards Optimization 95

CIO Business Intelligence

JANUARY 4, 2023

Scaling out and developing large-scale systems : To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics?

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

Insight

OCTOBER 25, 2019

Challenges and Strategies The difficulty of this project is two-fold. The latter is particularly restricting, as it violates the prerequisite of many deep learning methods for image classification?—?a For my project, I decided to try two different strategies to tackle my small data problem?—?one

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

Domino Data Lab

AUGUST 29, 2019

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. The contents will cover. Defining the agent.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

IBM Big Data Hub

NOVEMBER 14, 2023

Internal data monetization initiatives measure improvement in process design, task guidance and optimization of data used in the organization’s product or service offerings. Realize : Each data service has an agreed unit of value which is transacted and measured.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

Insight

MARCH 28, 2019

To measure this sentiment, Derek classified each sentence in a review as belonging to one of five categories: Culture & Values, Work/Life Balance, Senior Management, Compensation & Benefits, Career Opportunities (the same five dimensions Glassdoor asks employees to rate along).

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70