DataRobot Blog

OCTOBER 18, 2022

Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. Learn more about the DataRobot AI Cloud and the ability to accelerate your experimentation and production timelines. DataRobot Booth at Big Data & AI Toronto 2022.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

Sisense

MARCH 6, 2019

Every year there’s high anticipation to see what key message Gartner will present in the yearly Data & Analytics Summits. I was very happy to see that the first key message – “Data Driven” – was subtitled with “Adopt an Experimental Mindset”. That data can be used to know us in the most intimate ways.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

CIO Business Intelligence

DECEMBER 14, 2023

Aside from being extremely cold, working on the Slope presents major supply chain challenges,” says Pragati Mathur, chief digital and information officer for the energy exploration and production stalwart. Carlo had an inkling that 3D printing could really change the game.”

Manufacturing 95

Manufacturing Digital Transformation Experimentation Cost-Benefit 95

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. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 104

Advertising Recreation/Entertainment Experimentation Enterprise 104

DataRobot Blog

FEBRUARY 28, 2023

They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation. When the training process is complete, DataRobot will recommend the best-performing model for production based on the selected metric and provide an explanation. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

Corinium

JUNE 6, 2019

present a significant barrier to adoption of the latest and greatest approaches. It is also important to have a strong test and learn culture to encourage rapid experimentation. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

NOVEMBER 2, 2023

The combination of EMR Serverless and Graviton2 presents an exciting opportunity to enhance the data processing capabilities and drive efficiency in our operations. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. HCatalog 3.1.3

Cost-Benefit 93

Cost-Benefit Big Data Testing Optimization 93

Occam's Razor

MAY 15, 2006

Add to this the fact that now there is a massive proliferation of tools that will instantly create reports presenting data in every conceivable slice, graph, table, pivot or dump that you can imagine the challenge. Experimentation/Testing (the latest new and cool thing to do, a/b or multivariate).

Metrics 100

Metrics Experimentation Testing Interactive 100

IBM Big Data Hub

MARCH 4, 2024

An AI+ enterprise excels in delivering innovative AI applications to its customers and modernizing existing applications to meet the new demands AI presents. This culture encourages experimentation and expertise growth. This often leads to a disappointing experience due to slow response times.

Enterprise 102

Enterprise ROI Risk Strategy 102

CIO Business Intelligence

MARCH 21, 2022

Data scientists are often engaged in long-term research and prediction, while data analysts seek to support business leaders in making tactical decisions through reporting and ad hoc queries aimed at describing the current state of reality for their organizations based on present and historical data.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

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

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. Ultimately, the evaluation is based on whether or not the model delivers success to the customers’ business.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. The bottom line metrics that DataOps impacts are deployment latency and errors (figure 6). It reduces the high rate of data errors present in most data organizations to virtually zero. What is DataOps. Low error rates.

Testing 152

Testing Dashboards Measurement Experimentation 152

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. This flexibility allows you to import your local code into the DataRobot platform and continue further experimentation using the combination of DataRobot Notebooks with: Deep integrations with DataRobot comprehensive APIs.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

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

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. accounting for effects "orthogonal" to the randomization used in experimentation. accounting for effects "orthogonal" to the randomization used in experimentation.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

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. This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined.

Testing 104

Testing Risk Data-driven Statistics 104

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

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. Consultants, Analysts: Present Impactful Analysis, Insightful Reports.

KPI 124

KPI Metrics Measurement ROI 124

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 benchmark for the beautiful metric AVOC is 15.3%. What does the diminishing returns curve look like for TV GRPs for our company?

Analytics 131

Analytics Scorecard Strategy Testing 131

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. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here.

Software 114

Software Experimentation Testing Marketing 114

O'Reilly on Data

APRIL 19, 2021

We’ll look at this later, but being able to reproduce experimental results is critical to any science, and it’s a well-known problem in AI. But is application deployment the right metric for maturity? It’s more concerning that workflow reproducibility (3%) is in second-to-last place. Bottlenecks to AI adoption. Maturity by Continent.

Enterprise 353

Enterprise Modeling Risk Manufacturing 353

Occam's Razor

OCTOBER 21, 2013

The reason I love the above view is that for each channel, I'm able to present our management team a simple, yet powerful, understanding of the contribution of our marketing channels – including search. And of course our Acquisition, Behavior, Outcome metrics. Controlled experimentation. See Page Value there?

Optimization 154

Optimization Reporting Experimentation Metrics 154

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

A CRM dashboard is a centralized hub of information that presents customer relationship management data in a way that is dynamic, interactive, and offers access to a wealth of insights that can improve your consumer-facing strategies and communications. Your Chance: Want to build professional CRM reports & dashboards?

Dashboards 265

Dashboards Reporting KPI Visualization 265

datapine

FEBRUARY 4, 2020

That’s why we will present annual, monthly, weekly, daily and digital marketing reports that you can use for your own promotional activities and upscale your marketing efforts. Structure your metrics. That way you can choose the best possible metrics for your case. Regularly monitor your data. 1) Marketing CMO report.

Reporting 280

Reporting Marketing Advertising Metrics 280

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 240

Management Metrics Machine Learning Modeling 240

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. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # Be it for in vogue metrics like Conversion Rates or for metrics that should be in vogue like Abandonment Rates.

Management 68

Management Experimentation Testing Metrics 68

FineReport

APRIL 24, 2024

It involves representing data and information visually, making it easier for individuals to comprehend, analyze, and make decisions based on the presented data. This skill is especially valuable in today’s data-driven world, where the ability to interpret and present data compellingly is highly sought after.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). In 480 pages the book goes from from beginner's basics to a advanced analytics concepts. Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Occam's Razor

DECEMBER 9, 2009

They also tend to generate inefficiencies (everyone's doing their own thing after all) be it with tools or work or metrics definitions or testing platforms or… Decentralized organizations optimize for a local maxima and it happens all the time that while individual divisions in a company win, that the company as a whole loses.

Analytics 95

Analytics Data-driven Marketing Sales 95

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. 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. Session Summary. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

APRIL 18, 2022

They also advise communicating the dashboard’s value consistently since that will drive effective dashboard use, both to increase adoption and to improve company performance on key dashboard metrics, the brief says. They invest in cloud experimentation. They invest in their teams to spur innovation.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. Or an actual outcome metric. I need someone.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Sisense

MAY 18, 2021

When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #2: Choosing the wrong data visualization to present your data. Mistake #3: Making vanity metrics your main event. Vanity metrics ebb and flow like a tidal wave, meaning they can easily consume your marketing efforts.

Marketing 52

Marketing Data Analytics Analytics Metrics 52