The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Smart Data Collective

AUGUST 18, 2021

Although widely used, keyword scanning software alone simply doesn’t generate sufficient success metrics when sifting through candidate resumes. So, in this situation, you may devise and implement an online test designed to assess candidates on their basic skills and knowledge of their field of work. Speed up the recruitment process.

Data Science 139

Data Science Management Big Data Metrics 139

CIO Business Intelligence

FEBRUARY 20, 2025

This is due, on the one hand, to the uncertainty associated with handling confidential, sensitive data and, on the other hand, to a number of structural problems. If a database already exists, the available data must be tested and corrected. Aspects such as employee satisfaction and talent development are often neglected.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

AWS Big Data

SEPTEMBER 5, 2024

Although the absolute metrics of the sparse vector model can’t surpass those of the best dense vector models, it possesses unique and advantageous characteristics. In subsequent experiments, we input the context field into the index of OpenSearch as text content, and use the question field as a query for the retrieval test.

Metrics 106

Metrics Testing Experimentation Modeling 106

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . The coming months are a leadership test for CIOs, and it’s a pass/fail grade.”. Keep calm and lead on.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

Cloudera

DECEMBER 3, 2021

Systems should be designed with bias, causality and uncertainty in mind. Uncertainty is a measure of our confidence in the predictions made by a system. We need to understand and provide the greatest human oversight on systems with the greatest levels of uncertainty. System Design. Human Judgement & Oversight. Model Drift.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

CIO Business Intelligence

SEPTEMBER 22, 2022

Seeing that remote working continues to be a pressing issue still finding its footing after nearly three years in beta testing, the work surrounding feasible solutions seems to compound as time goes on, with some intending a full return to office while others have forged the company future on remote models. Go for the answer you already know.

Uncertainty 111

Uncertainty Forecasting Visualization Big Data 111

DataKitchen

OCTOBER 2, 2023

Data Journeys track and monitor all levels of the data stack, from data to tools to code to tests across all critical dimensions. A Data Journey supplies real-time statuses and alerts on start times, processing durations, test results, and infrastructure events, among other metrics.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

CIO Business Intelligence

MARCH 10, 2023

Because of this, the importance of code quality shows why project velocity is not a metric to be seen in isolation as it often is. Mitigate DX-killing red tape The business longs for metrics and insights into what’s happening in the dark interior of software creation. But too much intrusion into developer workflow is a real DX killer.

Software 122

Software Metrics Uncertainty Sales 122

Domino Data Lab

JUNE 23, 2019

Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

SEPTEMBER 27, 2022

Deploy the system: Prior to the final cutover, multiple activities have to be completed, including training of staff on the system, planning support to answer questions and resolve problems after the ERP is operational, testing the system, making the “Go live” decision in conjunction with the executive sponsor. Hidden costs of ERP.

Enterprise 119

Enterprise Cost-Benefit Manufacturing Software 119

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., Crucially, it takes into account the uncertainty inherent in our experiments. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

APRIL 19, 2021

To explain, let’s borrow a quote from Nate Silver’s The Signal and the Noise : One of the most important tests of a forecast — I would argue that it is the single most important one — is called calibration. Calibration and other considerations Calibration is a desirable property, but it is not the only important metric.

Modeling 122

Modeling IT Metrics Testing 122

CIO Business Intelligence

JULY 7, 2023

ITIL Specialist High Velocity IT : In this module you’ll learn how to integrate methodologies such as agile and Lean with other technical skills, including cloud, automation, and automatic testing, to deliver rapid delivery of products and services.

Cost-Benefit 98

Cost-Benefit Strategy Management Uncertainty 98

Jet Global

OCTOBER 21, 2020

During periods of uncertainty, this helps us plan for – and be ready to respond to – different outcomes. Communicate the key performance indicators: Identify the key metrics that senior management will use to monitor the business on a daily, weekly, and monthly basis. The past few months have shown the benefits of continuous planning.

Forecasting 98

Forecasting Finance Business Driver Key Performance Indicator 98

Occam's Razor

JULY 12, 2010

Please click on the above image for a higher resolution version , including all the other metrics.]. I love the data you saw in the very first screenshot, and I absolutely love this… [Please click on the above image for a higher resolution version , including all the other metrics.]. Say it ain't so! :). Why is this cool?

Analytics 97

Analytics Measurement Metrics KPI 97

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. This means it is possible to specify exactly in which geos an ad campaign will be served – and to observe the ad spend and the response metric at the geo level. They are non-overlapping geo-targetable regions.

Advertising 43

Advertising Testing Sales Statistics 43

Jet Global

SEPTEMBER 10, 2020

Living through periods of rapid upheaval and uncertainty, like the recent pandemic, forces us to adapt quickly to new working practices. Imagine having real-time indicators consolidated across sales, marketing, operations, and HR—in addition to metrics on recent acquisitions and overall market trends.

Forecasting 52

Forecasting Finance Uncertainty Sales 52

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

The beliefs of this community are always evolving, and the process of thoughtfully generating, testing, refuting and accepting ideas looks a lot like Science. Note also that this account does not involve ambiguity due to statistical uncertainty. the power grid, a streaming music service, the human body, the weather).

Slice and Dice 46

Slice and Dice Experimentation Data-driven Data Science 46

CIO Business Intelligence

JULY 10, 2024

On top of this, Relex added instructions to its prompt to avoid answering any questions outside the company’s knowledge base, he says, and to express uncertainty when the question was at the limits of its knowledge or skills. Other hyperscalers also offer guardrails that work with their gen AI platforms. “It

Enterprise 136

Enterprise Risk Modeling Risk Management 136

The Unofficial Google Data Science Blog

APRIL 16, 2019

Such decisions involve an actual hypothesis test on specific metrics (e.g. Often, an established product will have an overall evaluation criterion (OEC) that incorporates trade-offs among important metrics and between short- and long-term success. The metrics to measure the impact of the change might not yet be established.

Experimentation 69

Experimentation Sales Metrics Measurement 69

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

Insight

FEBRUARY 19, 2020

I held out 20% of this as a test set and used the remainder for training and validation. Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). Scatterplot of the predicted ROI vs. the true ROI for the hold-out test set.

Risk 67

Risk ROI Modeling Metrics 67

datapine

SEPTEMBER 4, 2023

Your Chance: Want to test a powerful data visualization software? Your Chance: Want to test a powerful data visualization software? Not only is each flight color-coded by the airline, but this short movie-style visualization has transformed flight-based metrics into a piece of art that shows the path of each flight in action.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264