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 could create confusion.

Testing 58

Testing Experimentation Measurement Modeling 58

CIO Business Intelligence

JUNE 14, 2023

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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. Without a clear understanding of what their digital transformation should achieve, it’s easy for companies to get lost in the weeds.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

CIO Business Intelligence

JUNE 15, 2023

And while 68% of leaders believe their companies have implemented adequate measures to ensure responsible use of AI, only 29% of their frontline employees feel that way. With familiarity with generative AI being a key factor for its successful adoption, employees must get a chance to test it themselves.

Management 116

Management Experimentation Optimization Enterprise 116

Occam's Razor

SEPTEMBER 19, 2011

This: You understand all the environmental variables currently in play, you carefully choose more than one group of "like type" subjects, you expose them to a different mix of media, measure differences in outcomes, prove / disprove your hypothesis (DO FACEBOOK NOW!!!) Maybe it is Search, Email and Facebook. Controlled experiments!

Measurement 119

Measurement Advertising Testing Marketing 119

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. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

AUGUST 25, 2023

In this conversation with Foundry, Mitali discusses the accelerated importance of technology in healthcare, on enabling healthcare providers with data and why her team isn’t afraid of experimentation. A robust healthcare sector is testament to a nation’s commitment to the well-being of its citizens. The late nineties were the IT era.

Experimentation 98

Experimentation Digital Transformation Technology Measurement 98

Data Science 101

JANUARY 15, 2020

Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product. Suppose we want to test the effectiveness of a new drug against a particular disease. Reliability: It means measurements should have repeatable results. For eg: you measure the blood pressure of a person.

Experimentation 96

Experimentation Statistics Measurement Testing 96

Alation

DECEMBER 20, 2022

Failing to measure the impact of digital transformation against corporate strategies and OKRs. The measurement of an improvement and transformation is important,” Shaun Guthrie , senior VP of IT at Peavy Industries, points out “[It’s] Not just whether you improved revenue, efficiency, etc., are business problems.”. but by how much. “The

Digital Transformation 96

Digital Transformation Scorecard Measurement Experimentation 96

Smart Data Collective

JULY 9, 2023

Optimizing Conversion Rates with Data-Driven Strategies A/B Testing and Experimentation for Conversion Rate Optimization A/B testing is essential for discovering which version of your website’s elements are most effective in driving conversions. Conversion rates are the most important indicators of success in e-commerce.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Domino Data Lab

AUGUST 6, 2021

The process of doing data science is about learning from experimentation failures, but inadvertent errors can create enormous risks in model implementation. Outputs for a new problem might not be consistent with the model’s original intent for a different problem without careful research and testing. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

O'Reilly on Data

MARCH 31, 2020

This has serious implications for software testing, versioning, deployment, and other core development processes. If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

MAY 17, 2024

Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. ” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Why move to cloud?

Modeling 93

Modeling Cost-Benefit Optimization Digital Transformation 93

CIO Business Intelligence

AUGUST 16, 2023

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. We put sensors in the vessels, and with the measurement data we receive, we can see how full they are and plan the routes accordingly,” says Andreas Bäckström, a business developer at Division Drift.

Risk 98

Risk Cost-Benefit Digital Transformation Internet of Things 98

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., 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.,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Ontotext

FEBRUARY 14, 2024

How do you measure its utility? Based on our experience, we’ve found that there are some common stumbling blocks. Let’s have a look at those. Why You need to make sure the people in your organization know the why of the knowledge graph project. sometimes the answer is, “We don’t know.” So, we’ve learned our lesson.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

CIO Business Intelligence

OCTOBER 9, 2023

Hyatt’s experimental mindset and listen-first approach are heavily applied to IT’s pursuit of innovation, he says. “To some extent, folks expect IT to be there like a dial tone when you pick up a phone,” or, “the referee at a football game, but no one noticed you,” says Mate, CIO of home health provider Elara Caring.

Strategy 137

Strategy Technology Experimentation Testing 137

AWS Big Data

AUGUST 21, 2023

In particular, our experimentation shows that hybrid search, combining lexical and vector approaches, typically results in a 15% improvement in search result quality over lexical or vector search alone on industry-standard test sets, as measured by the NDCG@10 metric (Normalized Discounted Cumulative Gain in the first 10 results).

Data Processing 93

Data Processing Experimentation Visualization Metrics 93

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. A/B testing is used widely in information technology companies to guide product development and improvements.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

CIO Business Intelligence

APRIL 4, 2022

The early days of the pandemic taught organizations like Avery Dennison the power of agility and experimentation. We are just starting to come back into the office, but in six months we’ll have a much better measure” of efficiencies gained. “I Today it uses those same techniques for improved efficiencies and growth.

Experimentation 133

Experimentation Interactive Business Objectives Manufacturing 133

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 90

Cost-Benefit Big Data Testing Optimization 90

Smart Data Collective

FEBRUARY 4, 2020

Phase 0 is the first to involve human testing. Phase I involves dialing-in the proper dosage and further testing in a larger patient pool. An open and impartial AI model should be able to inject a measure of transparency into this process along with the obvious efficiency advantages.

Experimentation 100

Experimentation Testing Modeling Strategy 100

Domino Data Lab

JUNE 13, 2019

Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples. Did they overfit the test set?

Testing 83

Testing Data Science Experimentation Metadata 83

CIO Business Intelligence

FEBRUARY 21, 2023

The firm’s connected brewery IoT platform, for instance, is being used for data ingestion and edge computing in breweries, enabling local teams to analyze, adjust, test and optimize production processes, with this in-turn allowing operations to leverage real-time and historical data to support the workers on the shop floor.

Digital Transformation 105

Digital Transformation Sales Experimentation Optimization 105

CIO Business Intelligence

AUGUST 17, 2023

Since the middle of last year, we’ve been analyzing the potential impact, opportunities, and risks of the speed of innovation in this area, as well as introduced policies and implemented measures to minimize risks,” he says. We’re testing ChatGPT at an individual level,” he says. But overall, we see this as a huge opportunity.

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

Ontotext

MARCH 29, 2021

More than 10 years ago we even had experimental support of what we called triplesets , which allowed the association of metadata to sets of statements. . << :man :hasSpouse :woman >> 2. source :TheNationalEnquirer ; 3. webpage <[link] 4. retrieved "2020-02-13"^^ xsd:dateTime. id1 rdf:type rdf:Statement ; 3.

Metadata 59

Metadata IT Modeling Experimentation 59

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 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

CIO Business Intelligence

OCTOBER 18, 2023

Gen AI boom in the making Many early and established forays into generative AI are being developed on the AI platforms of cloud leaders Microsoft, Google, and Amazon, reportedly with numerous guardrails and governance measures in place to contain unrestricted exploration. PwC, Zapier, Block, Canva, and Carlyle.

Risk 141

Risk Manufacturing Enterprise Technology 141

Sisense

JANUARY 21, 2020

A new drug promising to reduce the risk of heart attack was tested with two groups. One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. This kind of analysis, in most cases, can lead to insights that can be later translated to business actions. We don’t know.

Testing 104

Testing Risk Data-driven Statistics 104

Data Science and Beyond

APRIL 5, 2021

The initial covid-19 lockdown provided me with extra free time to make the measurement and offsetting of Automattic’s emissions from data centre power use happen. In general, my guiding principle for posting is to only add stuff I’d want to read or cite, e.g., because I haven’t seen it discussed elsewhere. Remote work.

Experimentation 61

Experimentation Testing Publishing Measurement 61

AWS Big Data

JANUARY 9, 2024

This functionality was initially released as experimental in OpenSearch Service version 2.4, Hybrid search, the combination of the two methods, gives 14% higher search relevancy (as measured by NDCG@10—a measure of ranking quality) than BM25 alone, so customers want to use hybrid search to get the best of both.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. But it is not routine. So, how do we fix this problem?

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

IBM Big Data Hub

APRIL 18, 2024

This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work. Imagine a self-driving car piloted by an AGI. It cannot only pick up a passenger from the airport and navigate unfamiliar roads but also adapt its conversation in real time.

Cost-Benefit 93

Cost-Benefit Modeling Manufacturing Interactive 93

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

O'Reilly on Data

OCTOBER 19, 2021

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. However, the concept is quite abstract. Can’t we just fold it into existing DevOps best practices? Why: Data Makes It Different.

IT 346

IT Testing Experimentation Software 346

O'Reilly on Data

MARCH 23, 2023

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. What is it, how does it work, what can it do, and what are the risks of using it? A quick scan of the web will show you lots of things that ChatGPT can do. It’s much more.

IT 262

IT Modeling Testing Risk 262

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Measuring Online Engagement: What Role Does Web Analytics Play? "Engagement" How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124