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., Subscribe to Alation's Blog.

Digital Transformation 96

Digital Transformation Scorecard Measurement Experimentation 96

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

DataRobot Blog

MARCH 16, 2023

Today, DataRobot unveiled a new AI platform designed to help businesses derive measurable value from AI – something that too many organizations today have been unable to achieve. We are offering customers rapid experimentation and value identification, with both code-first and no-code approaches. And we’re just getting started.

Experimentation 52

Experimentation Data-driven Measurement Enterprise 52

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime.

Experimentation 68

Experimentation Sales Metrics Measurement 68

Jedox

SEPTEMBER 11, 2019

Experimental” Technology. Is AI truly experimental technology? It could be data sets that are usually very time consuming and can be automated or areas where prediction is not accurate enough and AI algorithms can make a visible, measurable impact. In most cases, the answer is no. appeared first on Jedox.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

CIO Business Intelligence

SEPTEMBER 9, 2022

As Dan Moore writes in his “ Letters to a new Developer ” blog, “Even as a new developer, you’re constantly making small creative decisions (naming a variable, for example). Measure the right outputs. There is, for example, far more creativity involved in building software than is typically imagined. Passion and space to innovate.

Software 130

Software Experimentation Measurement Marketing 130

IBM Big Data Hub

MAY 17, 2024

Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. Teams are comfortable with experimentation and skilled in using data to inform business decisions. Service ownership is established and distributed to self-sufficient teams.

Modeling 91

Modeling Cost-Benefit Optimization Digital Transformation 91

Cloudera

MARCH 2, 2022

You can read previous blog posts on Impala’s performance and querying techniques here – “ New Multithreading Model for Apache Impala ”, “ Keeping Small Queries Fast – Short query optimizations in Apache Impala ” and “ Faster Performance for Selective Queries ”. . It also measured peak memory consumed at the node and the operator level.

Data Warehouse 88

Data Warehouse Optimization Analytics Sales 88

DataKitchen

MARCH 8, 2023

This requires a culture of innovation, experimentation, and willingness to take risks and try new approaches. Measuring these goals is very important to success. As the adage goes, You can’t improve what you can’t measure. The team must be agile and flexible, able to pivot quickly and adapt to new challenges.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

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. 1) Blog Traffic And Blog Leads Report. Some research showed that within a week of posting, a blog article’s traffic can drop by 90%. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

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

Cloudera

APRIL 26, 2023

In the blogs that follow, as part of this multi-part series, we will shed light on the latest and greatest features released via Cloudera Data Platform (CDP) Private Cloud Data Services. The post Building Cloud Native Data Apps on Premises appeared first on Cloudera Blog.

Cost-Benefit 64

Cost-Benefit Optimization Experimentation Machine Learning 64

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

DataRobot

JULY 27, 2021

Last fall, I penned a blog post around our Series F funding, focused on the fact that the era of experimental AI is over. AI needs to be a core part of every company’s strategy and culture, as well as a top company initiative with a focus on measurable results tied to value. . An Unprecedented Market Opportunity.

Machine Learning 98

Machine Learning Experimentation Modeling Forecasting 98

Ontotext

JULY 6, 2023

It incorporates the knowledge of Subject Matter Experts and ensures accurate sentiment measurements. Experimentation with different technical analysis services becomes possible. Being able to provide a comprehensive understanding of market dynamics through sentiment measurement is crucial.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps requires that teams measure their analytic processes in order to see how they are improving over time. Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. Azure DevOps. AWS Code Deploy.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Here, they and others share seven ways to create and nurture a culture of innovation.

Experimentation 122

Experimentation Consulting Technology Machine Learning 122

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 99

Enterprise ROI Risk Strategy 99

IBM Big Data Hub

OCTOBER 20, 2023

Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. The best AI platforms typically have various measures in place to ensure that your data, application endpoints and identity are protected.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

Occam's Razor

AUGUST 22, 2011

Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. Blogging Experience Articles. + Key To Your Digital Success: Web Analytics Measurement Model. Find people?"

KPI 124

KPI Metrics Measurement ROI 124

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up against. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning. This blog post does not discuss objectives.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? This blog post provides details for how we can make inferences without waiting for complete uptake. This blog post provides details for how we can make inferences without waiting for complete uptake. What if their uptake rate is not uniform?

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Dataiku

APRIL 22, 2022

In this blog series, we will explore Frugal AI from the perspectives of data, design, trust, and sustainability. For companies with small datasets and a mandate to move beyond experimentation, Frugal AI promises to be a way to overcome this challenge. It's All in a Name.

Experimentation 59

Experimentation Modeling Business Objectives Manufacturing 59

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

Ontotext

FEBRUARY 14, 2024

How do you measure its utility? Experimentation is important, but be explicit when you do. There’s a famous saying by a statistician, George Box, “All models are wrong, but some are useful.” ” So, how do you know whether your model is useful? Start with “why?” Don’t fear growth.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

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. I summarised this work in a post on the company’s blog , and discussed it in an interview with PublishPress. Technical work.

Experimentation 61

Experimentation Testing Publishing Measurement 61

DataRobot Blog

JULY 28, 2022

In this blog post, we would like to present some examples of actual cases in which noise reduction had a significant effect in real-world applications, and in which powerful features were obtained. For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc.,

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Domino Data Lab

NOVEMBER 14, 2019

advocate for “defining interpretability in the context of machine learning” and for using a Predictive, Descriptive, Relevant (PDR) framework because there is “considerable confusion about the notion of interpretability” Data science work is experimental, iterative, and at times, confusing.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

Domino Data Lab

JUNE 13, 2019

This has led to researchers to look for ways to address the rising danger of overfitting by reconstructing datasets, measuring the accuracy, and then sharing their process. If you are interested in your data science work being covered in this blog series, please send us an email at content(at)dominodatalab(dot)com.

Testing 83

Testing Data Science Experimentation Metadata 83

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

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. It’s already powerful in blog sites and a lot of people will use it as a framework,” he says.

Risk 86

Risk Cost-Benefit Strategy Experimentation 86

O'Reilly on Data

OCTOBER 13, 2020

In an incident management blog post , Atlassian defines SLOs as: “the individual promises you’re making to that customer… SLOs are what set customer expectations and tell IT and DevOps teams what goals they need to hit and measure themselves against. While useful, these constructs are not beyond criticism.

Management 240

Management Metrics Machine Learning Modeling 240

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Sisense

JANUARY 21, 2020

They measured both the blood pressure of the participants and if they had a heart attack or not. Another study showed using experimental studies that the paradox might occur, and that people are often poor at recognizing it. Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head.

Testing 104

Testing Risk Data-driven Statistics 104

The Unofficial Google Data Science Blog

JULY 31, 2016

The analysis can be straightforward, especially when it's safe to assume that individual observations of an outcome measure are independent. This blog post explores how this problem arises in applications at Google, and how we can 'mind our units' through analysis and logging. When analyzing the outcome measure (e.g.,

Experimentation 42

Experimentation Testing Measurement Metrics 42

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. Doing data science is all about experimentation … doing it again, and again, and again until a model is ready for deployment at scale. Model implementation.

Risk Management 64

Risk Management Risk Modeling Enterprise 64