Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. For example, training an interview screening model using education data often contains gender information. As discussed in this article , model design can also be a source of bias too. Model Drift. Governance.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

CIO Business Intelligence

AUGUST 18, 2023

For organizations seeking a collaborative win-win approach to outsourcing, the Vested sourcing business model is worth consideration. For example, a buying organization might want “outcomes,” but the contract spells out dozens or even hundreds of service level agreement metrics instead.

Measurement 94

Measurement Modeling Risk Management 94

DataRobot

OCTOBER 20, 2021

It is a key component of developing responsible AI, and promotes trust not only in AI concepts but also in individual AI models. allows stakeholders to evaluate the most suitable models for deployment and is paramount for organizations scaling and operationalizing AI systems. WHITE PAPER. What Is Data Literacy?

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

IBM Big Data Hub

JUNE 13, 2022

AI is also likely to drive unique requirements for specific RegTech functionality relating to bias assessments (including specific metrics like disparate impact ratio), automated evidence to monitor for drift in AI models, and other functionality relating to the transparency and explainability of AI systems. References. [1]

Risk 98

Risk Risk Management Data-driven Metrics 98

IBM Big Data Hub

MARCH 8, 2024

This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower. For example, on a 5G network, enterprises can create use cases or business models and assign them their own independent virtual network, dramatically improving the user experience for their employees by adding greater customizability and security.

IoT 102

IoT Broadcasting Internet of Things Technology 102

Cloudera

FEBRUARY 17, 2021

As a matter of fact, these new challenges gave way to tremendous opportunities for businesses to optimize their key success metrics by leveraging technology. Check out this awesome white paper that explains why Cloudera has the best Kafka ecosystem in the industry today. If you are interested, you can watch it on-demand as well.

Metrics 60

Metrics Digital Transformation Manufacturing Technology 60

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. and could provide a model for the EU to follow. Both descriptive and predictive analytics models can enhance decisions for negotiating pricing, reducing the variation in supplies, and optimizing the ordering process as a whole.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Jet Global

APRIL 2, 2019

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. In a recent McKinsey survey of 3,000 business executives, 41% responded that they were uncertain of the benefits of AI for their business. So how is the data extracted? Get Insight Now.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Sisense

JUNE 24, 2021

A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources. Learning Pool’s white paper Measuring the Modern Learner Experience explains how an LRS specifically stores xAPI statements, which at their most basic level combine an actor, a verb, and an object.

Analytics 83

Analytics Measurement Dashboards Optimization 83

Alation

MAY 17, 2022

And today, it’s much harder to scale a person than a machine learning model. These tools use rules to validate the data and provide scores across a number of metrics, including whether or not the data seems accurate based on historic norms for that table. Download the white paper today.

Metadata 52

Metadata Data Quality Machine Learning Reporting 52

Jet Global

AUGUST 14, 2019

Chances are good that your average non-technical sales agent or purchasing representative will have difficulty joining multiple tables together with a standard report, but with Business Intelligence cubes, all that is required drag and drop the metrics and dimensions that matter to them into their own personalized dashboard. And we can help!

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Transfer learning applied to ResNet50 CNN Training results The final accuracy of the model, when tested on a subset of the training data, was 97%.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Jet Global

OCTOBER 7, 2020

While this makes D365 F&SCM data available for cleansing and preparation, the Azure Data Lake stack is complex as it comprises multiple tools and requires new skills, meaning for many customers it may be overkill, as we explained in a recent white paper. Enterprise Business Intelligence.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jet Global

OCTOBER 2, 2019

Chances are good that your average non-technical sales agent or purchasing representative will have difficulty joining multiple tables together with a standard report, but with Business Intelligence cubes, all that is required drag and drop the metrics and dimensions that matter to them into their own personalized dashboard. And we can help!

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Occam's Razor

MARCH 23, 2010

Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. It is faster to fail and learn then wait for an "industry case study" or find relevancy in a "industry leader white paper" I met a small group of top companies in London recently.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Jet Global

NOVEMBER 23, 2020

In this model, your monthly income is split into the following categories: 50 percent for needs, 30 percent for wants, 20 percent for debts and savings. This blog post by Sage provides a white paper, “A guide to CFO 3.0 Strategize your hiring practices using real-time insights from a headcount ratio model.

KPI 52

KPI Finance Dashboards Data Processing 52

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Perpetual, by contrast, is paid up front.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Occam's Razor

NOVEMBER 15, 2010

Go download the white papers. This site simply engages in one night stands, and while I can think of some sites where that can still be the basis of a long term sustainable business model. No, no, not the silly reports that show mostly useless metrics like Average Time on Site and Average Pages Per Visitors ( averages stink! ).

Reporting 139

Reporting Metrics Strategy Measurement 139

Alation

JANUARY 25, 2022

In concrete terms, that includes metadata for a broad array of asset classes, such as BI reports, business metrics, business terms, domains, functional business processes, and more. These two resources can help you get started: White paper: How to Evaluate a Data Catalog. This is a key component of active data governance.

Metadata 52

Metadata IT Metrics Data-driven 52

DataRobot Blog

JUNE 24, 2022

In addition, traditional analytical approaches are not flexible enough in generating alternative scenarios that allow investment analysts to test market shifts or to compare predictive-model outputs to the forecasts of traditional sources of market information. For example, forecasting rents and prices at different levels of aggregation (e.g.,

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52