The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

O'Reilly on Data

MARCH 31, 2020

This has serious implications for software testing, versioning, deployment, and other core development processes. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

Management 338

Management Machine Learning Experimentation Metrics 338

Aryng

APRIL 25, 2022

” – Ronald Fisher Experimentation is a powerful tool for businesses to innovate and test new ideas, but few seem to be using this tool right. […] The post How to use experiments to find your way to success appeared first on Aryng's Blog. He can perhaps say what the experiment died of.”

Experimentation 52

Experimentation Consulting Testing Metrics 52

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Instead of focusing on a narrowly defined task with minimal testing and feedback, DataOps focuses on adding value. Create tests. Test data automation – create test data for development on-demand.

Testing 157

Testing Dashboards Measurement Experimentation 157

CIO Business Intelligence

FEBRUARY 21, 2024

We developed a model to predict student outcomes based on metrics from historical evidence,” he says. “We We’ve done a lot of experimentation on these adaptive tools that use AI,” says Ventimiglia.

Recreation/Entertainment 131

Recreation/Entertainment Experimentation Modeling Data-driven 131

Corinium

JUNE 6, 2019

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. 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

CIO Business Intelligence

NOVEMBER 13, 2023

Transformational leaders must ensure their organizations have the expertise to integrate new technologies effectively and the follow-through to test and troubleshoot thoroughly before going live. This involves setting up metrics and KPIs and regularly reviewing them to identify areas for improvement.

Digital Transformation 141

Digital Transformation Cost-Benefit Experimentation Measurement 141

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 91

Data Processing Experimentation Visualization Metrics 91

AWS Big Data

NOVEMBER 2, 2023

AWS benchmark The AWS team performed benchmark tests on Spark workloads with Graviton2 on EMR Serverless using the TPC-DS 3 TB scale performance benchmarks. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64.

Cost-Benefit 86

Cost-Benefit Big Data Testing Optimization 86

AWS Big Data

MAY 2, 2023

If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. Test the feature To test this feature, run the producer DAG. Removal of experimental Smart Sensors.

Testing 99

Testing Experimentation Management Metadata 99

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

DataRobot

JUNE 10, 2021

Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule. DataRobot also provides per-label metrics so that metrics per class can be compared. Below are the per-label metrics provided by DataRobot for model evaluation purposes.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. SPC is the continuous testing of the results of automated manufacturing processes. SPC tests can do the same thing for the data flowing through your pipelines.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Occam's Razor

MARCH 23, 2021

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). The first component is a gloriously scaled global creative pre-testing program. Matched market tests. The slow music.

Analytics 131

Analytics Scorecard Strategy Testing 131

Occam's Razor

MAY 15, 2006

There is a lot of "buzz" around "buzzy" metrics such as brand value / brand impact, blog-pulse , to name a couple. IMHO these "buzzy" metrics might be a sub optimal use of time/resources if we don't first have a hard core understanding of customer satisfaction and task completion on our websites.

Metrics 100

Metrics Experimentation Testing Interactive 100

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

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. AI surpassed other technologies in conversations about innovation The research underscores that AI is leading the way in accelerating innovation.

Advertising 93

Advertising Recreation/Entertainment Experimentation Enterprise 93

Sisense

JANUARY 21, 2020

One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. A new drug promising to reduce the risk of heart attack was tested with two groups. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance.

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Five Reasons And Awesome Testing Ideas. How do I choose well?

KPI 124

KPI Metrics Measurement ROI 124

Domino Data Lab

AUGUST 6, 2021

Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. Monitor: includes monitoring the performance of the model, tracking metrics, as well as driving adoption of the model by those it was intended to serve.

Data Science 75

Data Science Testing Modeling Publishing 75

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. cl_f = NCA.cl(pain_nca)

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Cloudera

APRIL 9, 2021

To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business. A/B testing). model packaging, deployment and serving. model monitoring. Schedule ML Jobs.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

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 90

Cost-Benefit Visualization Modeling Machine Learning 90

CIO Business Intelligence

JUNE 27, 2022

Tyson: You’re coming up to two years since you added Sentry’s ability to monitor for performance which has some pretty fine-grained metrics in terms of identifying where bottlenecks are located in code. We rely heavily on automated testing. Tyson: That belief in your vision when it’s tested—that is tough! I thought, really?!

Software 105

Software Experimentation Testing Marketing 105

Cloudera

FEBRUARY 16, 2022

They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. Model performance metrics together with input features, predictions and potentially ground truth values, can be tracked over time. This supports automation, consistency and reproducibility.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Insight

MARCH 12, 2020

I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. After some experimentation, I landed on a strategy I’ll call ‘warm encoding’: if greater than 1% of tags were in a particular class, I encoded the book as belonging to that class, non-exclusively.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

JULY 6, 2016

Yes, I worry that Analysts, and Marketers, are spending too much time with their head buried in custom reports and advance segments and smart calculated metrics and strategic or tactical dashboards. Lab usability testing and online surveys both provide great strategies to obsess about user centric design. No testing.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

DataKitchen

APRIL 13, 2021

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Occam's Razor

OCTOBER 21, 2013

This is a simple custom report I use to look at the aggregated view: As the report above demonstrates, you can still report on your other metrics, like Unique Visitors, Bounce Rates, Per Visit Value and many others, at an aggregated level. And of course our Acquisition, Behavior, Outcome metrics. Controlled experimentation.

Optimization 154

Optimization Reporting Experimentation Metrics 154

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. During testing and evaluation, application performance is important, but not critical to success. require not only disclosure, but also monitored testing. Debugging AI Products.

Management 252

Management Metrics Machine Learning Modeling 252

Occam's Razor

FEBRUARY 26, 2008

" Or " I proposed testing / surveys / competitive intelligence / Analysts but I was shot down." 1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Here is data from our latest test." And now you have no excuse to avoid testing.

Management 68

Management Experimentation Testing Strategy 68

Occam's Razor

NOVEMBER 13, 2009

Chapter 3 The Awesome World of Clickstream Analysis: Metrics. The second half shows exactly how to pick the best metrics for your org and, my absolute favorite (Page 64), how to diagnose the root cause of a metrics performance. Chapter 7 Failing Faster: Unleashing the Power of Testing and Experimentation.

Analytics 71

Analytics Metrics Measurement Testing 71

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Media-Mix Modeling/Experimentation. Mobile content consumption, behavior along key metrics (time, bounces etc.) And again, a custom set of metrics.

Metrics 141

Metrics Reporting Analytics Marketing 141

datapine

MAY 20, 2020

To inspire your customer relationship management report for managing your metrics, explore our cutting-edge selection of KPI examples. When we say “optimal design,” we don’t mean cramming piles of information into one space or being overly experimental with colors. Test, tweak, evolve. Work through your narrative.

Dashboards 265

Dashboards Reporting KPI Visualization 265

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.

Cost-Benefit 119

Cost-Benefit Advertising Experimentation Software 119