DataRobot

AUGUST 16, 2021

For example, in 2016 ProPublica discovered algorithmic bias in COMPAS (Correctional Offender Management Profiling for Alternative Sanctions), a proprietary algorithm used to predict the likelihood that an individual accused of a crime would reoffend.

Metrics 98

Metrics Modeling Machine Learning Data Collection 98

CIO Business Intelligence

MARCH 19, 2024

Lynch is among them, for “failure to meet agreed performance goals, including financial metrics.” May 2016: HPE sells its IT services business to CSC, forming DXC Technologies. September 2016: HPE sells software assets including remnants of the Autonomy business to Micro Focus, IDOL among them. November 2012: HP takes an $8.8

Software 105

Software Sales Unstructured Data Enterprise 105

DataKitchen

JUNE 12, 2023

We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session. So why another manifesto in the world? Why should I care? About seven years ago, we wrote the DataOps Manifesto.

Testing 130

Testing Dashboards Data Lake Data Science 130

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. Current Ratio. Let me draw that out for you.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

CIO Business Intelligence

SEPTEMBER 25, 2023

CIOs who organize transformation workstreams around problems to solve are on the right track, says David Rogers, a faculty member at Columbia Business School and author of The Digital Transformation Roadmap (2023) and The Digital Transformation Playbook (2016). Am I identifying and using the right business metrics to measure progress?

Digital Transformation 145

Digital Transformation Measurement Data-driven Metrics 145

Smart Data Collective

JUNE 14, 2019

In 2016, this was demonstrated by IBM when they developed a new machine learning algorithm to edit the video footage for the trailer for the upcoming horror film Morgan. Artificial intelligence seems to improve the video editing process on almost every metric. AI algorithms can handle the video editing process much more quickly.

Risk 106

Risk Software Machine Learning Metrics 106

Occam's Razor

APRIL 21, 2014

I believe these two posts with a collection of some of my favorite metrics will inspire you: 1. Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies 2. Best Web Metrics / KPIs for a Small, Medium or Large Sized Business. Do you have any metrics to measure the effectiveness of offline campaigns (Print/TV/Radio)??

Marketing Analytics 132

Marketing Analytics Marketing Analytics Metrics 132

CIO Business Intelligence

AUGUST 12, 2022

in 2016, and BD Advanced Bioprocessing in 2018. To complete project Northstar, Stevens’ team developed a customer insights platform from the ground up, using a JavaScript framework and Power BI to provide a 360-degree view of objective and real-time customer experience metrics. in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co.

IT 105

IT Data Lake Sales Machine Learning 105

datapine

SEPTEMBER 11, 2019

billion , growing at a CAGR of 26.98% from 2016. This exhaustive and incredibly smart analysis of historical data in addition to stock-taking metrics for warehouse product not only helped the business to keep track of its various items, but it also prevented damages and ensured all of its popular products remained stocked at all times.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

Paul Blogs on BI

MARCH 25, 2020

Firstly, let’s talk about the data and the metrics being used to track the pandemic. The three main metrics being tracked in this pandemic are: Confirmed Cases. As more testing becomes available this first metric will increase significantly. Total Deaths. Total recovered.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

CIO Business Intelligence

FEBRUARY 29, 2024

You’d be forgiven if you’re wondering whether you’ve stumbled on an article from 2016 , but, in fact, the practice of launching an offshore IT center wholly owned and operated by the enterprise it serves is back in vogue with notable twists. Captive centers are on the rise. Can we operate a center that will deliver on our business case?

Cost-Benefit 116

Cost-Benefit Risk Modeling Strategy 116

Ontotext

MAY 19, 2021

The Open Science (or Open Scholarship) movement has been gaining momentum, especially since the European Commission has committed itself to ensuring open access to all funded research in April 2016.

Publishing 72

Publishing Measurement Data-driven Metrics 72

Domino Data Lab

AUGUST 22, 2019

We need to take a brief break from natural language-specific content here to introduce a metric that will come in handy in the next section of the chapter, when we will evaluate the performance of deep learning NLP models. The contemporary leading alternative to both word2vec and GloVe is fastText. Joulin, A., arXiv: 1607.01759. 0.85 = 0.15.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

SEPTEMBER 20, 2022

Designers of AI systems for art should identify which images in their training sets strongly influenced a result using metrics of image similarity, in order to both credit the influence appropriately (perhaps monetarily) and facilitate avoiding plagiarism. Cham: Springer International Publishing, 2016. Misuse — what could go wrong?

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

DataRobot Blog

FEBRUARY 16, 2022

A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. Starting in 2022, the ICS aims to improve population health metrics and decrease health inequities.

Machine Learning 52

Machine Learning Reporting Metrics Data Integration 52

Smarten

SEPTEMBER 9, 2024

Planning and Preparing for a Citizen Data Scientist Initiative The term, ‘Citizen Data Scientist’ has been around since 2016, when the world-renowned technology research firm, Gartner, coined the phrase. Otherwise, you are unlikely to succeed.

KPI 52

KPI Consulting Business Intelligence Predictive Modeling 52

Smarten

JANUARY 17, 2019

For example, a business user might create the following search using natural language: ‘how did John Smith’s product sales in 2017 compare to his product sales in 2016?’.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

AWS Big Data

JULY 25, 2023

As their workload evolved, Alcion engineers tracked OpenSearch domain utilization via the provided Amazon CloudWatch metrics, making changes to increase storage and optimize their compute resources. Niraj is a recipient of over 15 innovation awards, including being named CIO of the year in 2014 and top 100 CIO in 2013 and 2016.

Cost-Benefit 89

Cost-Benefit Modeling Management Optimization 89

Insight

MAY 7, 2020

Felicia recommends starting by asking yourself some questions that go beyond surface-level metrics: Has my own team received any training on inclusive hiring practices? Source: [link] For a small company, it may seem premature to evaluate DEI outcomes based on the above metrics. They weren’t being given good opportunities.”

Metrics 68

Metrics Data Processing Strategy IT 68

Rita Sallam

NOVEMBER 11, 2016

As a long-time observer and some would say that stern 1 st grade teacher of Tableau since its early childhood, it is clear to me that Tableau has now put on its big girl pants – and Tableau 2016, its annual user conference, with more than 13,000 attendees was Tableau’s coming of age party.

Visualization 49

Visualization Machine Learning Metrics Enterprise 49

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. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Jet Global

JUNE 22, 2022

Jenna Greenfield: During some time off, I realized I was very passionate about the cannabis industry and wanted to get involved once it was legalized in California in 2016. Using analytics to build out dashboards across different companies allowed us to have a standardized metric like price per pound.

Analytics 52

Analytics Dashboards Finance Uncertainty 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

As a result, selecting knots according to the quantiles of the input data (or even linearly across the domain), and then steadily increasing their number as long as the metrics improve works well in practice. More knots make the learned feature transformation smoother and more capable of approximating any monotonic function. Pfeifer, J.,

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Domino Data Lab

OCTOBER 23, 2019

Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. One of the things this data set doesn’t have, however, is a single metric to rank both offensive and defensive performance in a single statistic.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Depict Data Studio

APRIL 10, 2023

Use the Data Visualization Checklist Stephanie Evergreen and I designed the Data Visualization Checklist in 2014 and updated it in 2016. Dashboards provide key metrics about a program, department, or organization, usually at regular intervals over time (e.g., You can use the checklist to help you assess your drafts.

Visualization 105

Visualization Dashboards Testing Reporting 105

Depict Data Studio

SEPTEMBER 15, 2020

In 2016, I met evaluator extraordinaire Dana Wanzer at a national conference. Paul presented new metrics of success: How much time do you have with your family? We’d originally connected on Twitter and this was our first-time meeting in person. One time, we read Company of One by Paul Jarvis together. How profitable are you?

Visualization 105

Visualization Consulting Dashboards Reporting 105

DataRobot Blog

MARCH 10, 2022

The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. and recommend the best optimization metric to use. DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Sisense

JULY 10, 2019

The.NET connector-framework was replaced with a new framework based on Java because the support for.NET on Linux is via.NET Core, which was introduced in 2016, and does not contain all the functionality of the.NET framework for Windows. Data connectors. The connector framework acts as a pipe for transferring data. Learnings Along the Way.

IT 69

IT Testing Technology Sales 69

Peter James Thomas

OCTOBER 1, 2019

Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. The single red line shows the actual value of some metric up to the middle section of the chart. Most charts have two axes.

Sales 61

Sales Measurement Statistics Data Architecture 61

Andrew White

JANUARY 9, 2022

– We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. 2016) though I have followed the topic in retail and CPG for years.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Toy example to present intuition for LIME from Ribeiro (2016). 1135–1144, ACM, 2016. See Ribeiro et al. Guestrin, C.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. It was lately revised and updated in January 2016.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JULY 1, 2021

This combination of CRF and BiLSTM is often referred to as a BiLSTM-CRF model (Lample et al 2016), and its architecture is shown in Figure 2. from keras import optimizers from keras.models import Model from keras.models import Input from keras_contrib.layers import CRF from keras_contrib import losses from keras_contrib import metrics.

Modeling 111

Modeling Statistics Testing Metrics 111

Smart Data Collective

MAY 31, 2023

The most important thing to do at the beginning is to know which metrics to focus on. Instagram introduced stories in 2016 , and till then, it has become a fantastic marketing tool. Katie points out that Instagram stories disappear after 24 hours. however, data is available for months afterwards.

Marketing 104

Marketing Data Analytics Analytics Interactive 104

Insight

MARCH 18, 2019

In 2016, ProPublica published an article stating that the software used across the country to predict future criminals is biased towards certain people of color. A canonical example, where fairness metric can apply, is mortgage lending, where redlining in the 1930s continues to disproportionally affect communities today.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

AWS Big Data

NOVEMBER 29, 2023

The gold model joins the technical logs with billing data and organizes the metrics per business unit. Use the following query to explore the metrics created by the dbt project: SELECT cm.avg_cost_per_minute , cm.avg_cost_per_distance , pm.avg_cost_per_passenger , cm.year , cm.month , cm.type FROM "dbt_glue_demo_nyc_metrics"."

Data Lake 121

Data Lake Management Metrics Data Warehouse 121