O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. Measurement, tracking, and logging is less of a priority in enterprise software.

Management 332

Management Machine Learning Experimentation Metrics 332

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation. Remember my stress earlier on measuring micro-outcomes?).

Metrics 141

Metrics Reporting Analytics Marketing 141

CIO Business Intelligence

NOVEMBER 13, 2023

Foster a culture of innovation: Digital transformation requires innovation and experimentation, and thus a culture for embracing new technologies and ideas. This involves setting up metrics and KPIs and regularly reviewing them to identify areas for improvement.

Digital Transformation 142

Digital Transformation Cost-Benefit Experimentation Measurement 142

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age.

Reporting 280

Reporting Marketing Advertising Metrics 280

AWS Big Data

AUGUST 21, 2023

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space. The algorithm for finding nearby vectors is called kNN (k Nearest Neighbors). Of course, production-quality search experiences use many more techniques to improve results.

Data Processing 89

Data Processing Experimentation Visualization Metrics 89

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. Such decisions involve an actual hypothesis test on specific metrics (e.g.

Experimentation 68

Experimentation Sales Metrics Measurement 68

O'Reilly on Data

OCTOBER 13, 2020

Ideally, AI PMs would steer development teams to incorporate I/O validation into the initial build of the production system, along with the instrumentation needed to monitor model accuracy and other technical performance metrics. But in practice, it is common for model I/O validation steps to be added later, when scaling an AI product.

Management 244

Management Metrics Machine Learning Modeling 244

Occam's Razor

APRIL 29, 2013

Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. It is a really good metric. There are many spectacular reasons for why Like (and +1s, Followers) is a horrible metric.

Marketing 166

Marketing Metrics Advertising Measurement 166

CIO Business Intelligence

JULY 8, 2022

First, it’s a straightforward proposition whose end state is relatively easy to envision and measure, making it a nice palate cleanser for those still wrapping their heads around the broader operating model shift. Disadvantages.

Cost-Benefit 120

Cost-Benefit Measurement Modeling Metrics 120

Corinium

JUNE 6, 2019

A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment. It is also important to have a strong test and learn culture to encourage rapid experimentation. What is the most common mistake people make around data?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 101

Experimentation Testing Optimization Marketing 101

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. And like a lot of near-future SciFi, it’s remarkably prescient.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

Experimentation 103

Experimentation Testing Optimization Measurement 103

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Clear measurement and monitoring of results. Measure success. Process measurement – construct dashboards on every aspect of the data lifecycle for unprecedented process transparency. Low error rates.

Testing 157

Testing Dashboards Measurement Experimentation 157

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. Polyaxon — An open-source platform for reproducible machine learning at scale.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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 41

Experimentation Statistics Metrics Measurement 41

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

IBM Big Data Hub

MARCH 4, 2024

This culture encourages experimentation and expertise growth. An AI+ enterprise mitigates potential harm by implementing robust measures to secure, monitor and explain AI models, as well as monitoring governance, risk and compliance controls across the hybrid cloud environment.

Enterprise 105

Enterprise ROI Risk Strategy 105

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Learn how to safeguard data and comply with changing laws, regulations, and operational requirements in Measuring Enterprise Information Governance Maturity.

Advertising 95

Advertising Recreation/Entertainment Experimentation Enterprise 95

Domino Data Lab

DECEMBER 4, 2020

Having calculated AUC/AUMC, we can further derive a number of useful metrics like: Total clearance of the drug from plasma. Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). The area under the first moment curve would respectively be.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. The qualitative surveys measuring unhappiness went down even more than before. Metrics matter. You are what you measure.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

AWS Big Data

JANUARY 9, 2024

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches. This functionality was initially released as experimental in OpenSearch Service version 2.4, This is also called embedding the text into the vector space.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

The Unofficial Google Data Science Blog

JANUARY 16, 2018

Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. With A/B testing, we can validate various hypotheses and measure the impact of our product changes, allowing us to make better decisions. This could create confusion.

Testing 58

Testing Experimentation Measurement Modeling 58

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. These measurement-obsessed companies have an advantage when it comes to AI. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc., which can lead to large prediction errors.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Domino Data Lab

SEPTEMBER 10, 2020

This means many projects get stuck in endless research and experimentation. Identify metrics that measure this variability. Existing Metrics: Foot traffic (footfall) monitoring of total customer count in store based on time series. Problem statements should ultimately: Include a problem definition.

Modeling 101

Modeling IT Data Science Experimentation 101

CIO Business Intelligence

APRIL 18, 2022

Tech leaders “should have a common language that clearly defines their company’s digital imperatives, with related value measures, that allows the organization to align on strategy across the C-suite and to communicate the strategic value they hope to achieve from it,” Nanda says. They invest in cloud experimentation.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

AWS Big Data

NOVEMBER 2, 2023

GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. Gather relevant metrics from the tests. All other parameters were kept the same to achieve an apples-to-apples comparison. Analyze results to draw insights and conclusions.

Cost-Benefit 84

Cost-Benefit Big Data Testing Optimization 84

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant. The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. In statistics, such segments are often called “blocks” or “strata”.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

In this post, we discuss three types of uncertainty: Statistical uncertainty : the gap between the estimand , the unobserved property of the population we wish to measure, and an estimate of it from observed data. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Occam's Razor

NOVEMBER 12, 2006

Mostly because short term goals drive a lot of what we do and if you are selling something on your website then it only seems to make logical sense that we measure conversion rate and get it up as high as we can as fast as we can. So measure Bounce Rate of your website. Is Real Conversion Rate metric a good one?

Measurement 99

Measurement Analytics Optimization Marketing 99

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. For example, we might want to stop the process if we measure harmful effects early. What if their uptake rate is not uniform?

Experimentation 62

Experimentation Measurement Modeling Statistics 62

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52