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

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. Even if a product is feasible, that’s not the same as product-market fit.

Management 338

Management Machine Learning Experimentation Metrics 338

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 143

Metrics Reporting Analytics Marketing 143

DataKitchen

JANUARY 20, 2021

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. With a standard metric supported by a centralized technical team, the organization maintains consistency in analytics. Central code repository where all data engineering/science/analytics work can be tracked, reviewed and shared.

Metrics 243

Metrics Experimentation Measurement Testing 243

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

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. Work through your narrative.

Dashboards 265

Dashboards Reporting KPI Visualization 265

datapine

FEBRUARY 4, 2020

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. 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

CIO Business Intelligence

OCTOBER 10, 2024

Still, a 30% failure rate represents a huge amount of time and money, given how widespread AI experimentation is today. If a project isn’t hitting the metrics, the teams can decide whether to dump it or give it more time. While Gersch recommends tying AI projects to business goals, she also encourages experimentation.

ROI 135

ROI Experimentation Cost-Benefit Metrics 135

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., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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 250

Management Metrics Machine Learning Modeling 250

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. See how to use DataRobot Model Observability to track service, drift, prediction data, training data, and custom metrics in order to keep models and predictions relevant in a fast-changing world.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

DataKitchen

APRIL 13, 2021

A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Comet.ML — Allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.

Testing 312

Testing Machine Learning Consulting Data Quality 312

CIO Business Intelligence

APRIL 25, 2024

Fits and starts As most CIOs have experienced, embracing emerging technologies comes with its share of experimentation and setbacks. Without automated evaluation, LinkedIn reports that “engineers are left eye-balling results and testing on a limited set of examples and having a more than a 1+ day delay to know metrics.”

IT 139

IT Experimentation Cost-Benefit Metrics 139

Corinium

JUNE 6, 2019

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. What is the most common mistake people make around data?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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. Build A Great Web Experimentation & Testing Program.

KPI 125

KPI Metrics Measurement ROI 125

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

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. However, it is far from perfect, since it certainly does not have reasoning skills, and it also loses its “train of thought” after several paragraphs (e.g.,

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Occam's Razor

OCTOBER 23, 2006

Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). Get competitive data (we are at x% of zz metric and our competition is at x+9% of zz metric). Great for a couple months and then you lose the audience. 6 Reporting is not Analysis. Your Choice? .

Data-driven 118

Data-driven Metrics KPI Reporting 118

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. So as my tiny gift for you here are five experimentation and testing ideas for you. This recession season buy your CEO the gift that keeps giving, a experimentation and testing tool. Build A Great Web Experimentation & Testing Program. That’s it! #3

Testing 113

Testing Experimentation Risk Optimization 113

AWS Big Data

SEPTEMBER 5, 2024

Although the absolute metrics of the sparse vector model can’t surpass those of the best dense vector models, it possesses unique and advantageous characteristics. Experimental data selection For retrieval evaluation, we used to use the datasets from BeIR. We care more about the recall metric.

Metrics 111

Metrics Testing Experimentation Modeling 111

Occam's Razor

MARCH 23, 2010

Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. If you don't kill 25% of your metrics each year, you are doing something wrong. Why do you think introducing a completely different set of numbers is going to make your life easier? Likely not. success measures.

Analytics 119

Analytics Consulting Metrics Experimentation 119

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times. Now nearly half of code suggestions are accepted.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible.

Digital Transformation 143

Digital Transformation Experimentation Metrics Machine Learning 143

Occam's Razor

SEPTEMBER 30, 2013

We'll start with digital at the highest strategic level, which leads us into content marketing, from there it is a quick hop over to the challenge of metrics and silos, followed by a recommendation to optimize for the global maxima, and we end with the last two visuals that cover social investment and social content strategy.

Marketing Analytics 156

Marketing Analytics Marketing Visualization Analytics 156

CIO Business Intelligence

MARCH 28, 2023

Here are some ways leaders can cultivate innovation: Build a culture of experimentation. Create a culture of experimentation and continuous improvement by giving employees the freedom to test new ideas and approaches to sustainability. Use data and metrics. Invest in technology. Encourage stakeholder feedback.

Experimentation 98

Experimentation Metrics Measurement Digital Transformation 98

CIO Business Intelligence

AUGUST 5, 2024

Some important steps that need to be taken to monitor and address these issues include specific communication and documentation regarding GenAI usage parameters, real-time input and output logging, and consistent evaluation against performance metrics and benchmarks. To learn more, visit us here.

Experimentation 124

Experimentation Risk Metadata Data-driven 124

CIO Business Intelligence

AUGUST 15, 2024

A virtual assistant may save employees time when searching for old documents or composing emails, but most organizations have no idea how much time those tasks have taken historically, having never tracked such metrics before, she says.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

CIO Business Intelligence

JULY 5, 2024

So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation. This is why many enterprises are seeing a lot of energy and excitement around use cases, yet are still struggling to realize ROI.

ROI 124

ROI Experimentation Risk Strategy 124

AWS Big Data

FEBRUARY 12, 2024

A series of materialized view refreshes are used to calculate metrics, after which the incremental data from S3 is loaded into Redshift. Gupshup chose Aurora PostgreSQL as the operational reporting layer due to its anticipated increase in concurrency and cost-effectiveness for queries that retrieve only precalculated metrics.

Analytics 119

Analytics Data Warehouse Snapshot Cost-Benefit 119

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 156

Optimization Reporting Metrics Experimentation 156

CIO Business Intelligence

OCTOBER 1, 2024

Organizations rolling out AI tools first need to set reasonable expectations and establish key metrics to measure the value of the deployment , he says. Measure everything Looking for ROI too soon is often a product of poor planning, says Rowan Curran, an AI and data science analyst at Forrester.

ROI 131

ROI IT Measurement Experimentation 131

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

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 358

Enterprise Risk Modeling Manufacturing 358

AWS Big Data

NOVEMBER 19, 2024

Customers maintain multiple MWAA environments to separate development stages, optimize resources, manage versions, enhance security, ensure redundancy, customize settings, improve scalability, and facilitate experimentation. micro, remember to monitor its performance using the recommended metrics to maintain optimal operation.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

Sisense

MARCH 6, 2019

Gartner chose to group the rest of the keynote into three main messages according to the following categories: Here are some of the highlights as presented for each of them: Data Driven – “Adopt an Experimental Mindset”. At Sisense we’ve been preaching for BI prototyping and experimentation for quite a while now.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

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. Another pattern that I’ve seen in good PMs is that they’re very metric-driven.

Management 110

Management Machine Learning Experimentation Metrics 110

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. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96