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 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

JANUARY 14, 2025

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. When tied directly to strategic objectives, software delivery metrics become business enablers, not just technical KPIs. This alignment sets the stage for how we execute our transformation.

Enterprise 119

Enterprise Technology Metrics Measurement 119

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

CIO Business Intelligence

JANUARY 10, 2025

As leaders work to define the right metrics, those measures must be tightly aligned with the business strategy and should account for the cost of not investing. Privacy and cybersecurity concerns (71%) and employee adoption hurdles (46%) further compound implementation barriers. However, only 12% have deployed such tools to date.

ROI 81

ROI Enterprise Broadcasting Metrics 81

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 106

Metadata Cost-Benefit Metrics Optimization 106

CIO Business Intelligence

MARCH 4, 2025

Through the DX platform, Block is able to provide developer experience metrics to all leaders and teams across the company. Coburns team also publishes an annual internal State of Engineering Velocity report highlighting key metrics and benchmarks captured in DX. Were very experimental and fast to fail, Coburn says.

Experimentation 69

Experimentation Metrics Data-driven Measurement 69

CIO Business Intelligence

MARCH 19, 2025

Mark Brooks, who became CIO of Reinsurance Group of America in 2023, did just that, and restructured the technology organization to support the platform, redefined the programs success metrics, and proved to the board that IT is a good steward of the dollar. One significant change we made was in our use of metrics to challenge my team.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

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 308

Management Machine Learning Metrics Modeling 308

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

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

CIO Business Intelligence

JANUARY 21, 2025

In 2024, departments and teams experimented with gen AI tools tied to their workflows and operating metrics. It created fragmented practices in the interest of experimentation, rapid learning, and widespread adoption and it paid back productivity dividends in many areas. Why should CIOs bet on unifying their data and AI practices?

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

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 300

Testing Machine Learning Consulting Data Science 300

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 Cost-Benefit Experimentation 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

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

CIO Business Intelligence

DECEMBER 11, 2024

Research from IDC predicts that we will move from the experimentation phase, the GenAI scramble that we saw in 2023 and 2024, and mature into the adoption phase in 2025/26 before moving into AI-fuelled businesses in 2027 and beyond. Issues around data governance and challenges around clear metrics follow the top challenge areas.

ROI 59

ROI Experimentation Insurance Strategy 59

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 Machine Learning Experimentation Data-driven 143

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 105

Metrics Testing Experimentation Modeling 105

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

AWS Big Data

JANUARY 15, 2025

After experimentation, the data science teams can share their assets and publish their models to an Amazon DataZone business catalog using the integration between Amazon SageMaker and Amazon DataZone.

IoT 100

IoT Machine Learning Metadata Data-driven 100

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

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

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 Cost-Benefit 124

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. BI dashboards like the one presented below provide a centralized view of the most important metrics businesses need to stay ahead of their competitors. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It can be a brand metric, say Likelihood to Recommend. It is not that hard.

B2B 167

B2B Metrics Recreation/Entertainment Testing 167

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

CIO Business Intelligence

NOVEMBER 13, 2023

Foster a culture of innovation: Digital transformation requires innovation and experimentation, and thus a culture for embracing new technologies and ideas. This involves setting up metrics and KPIs and regularly reviewing them to identify areas for improvement.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

Occam's Razor

NOVEMBER 5, 2007

Every solid web decision making program (call it Web Analytics or Web Metrics or Web Insights or Customer Intelligence or whatever) in a company will need to solve for the Five Pillars: ClickStream, Multiple Outcomes, Experimentation & Testing, Voice of Customer and Competitive Intelligence.

Analytics 98

Analytics Experimentation Metrics Measurement 98

IBM Big Data Hub

JUNE 10, 2024

XaaS models offer organizations greater predictability and transparency in cost management by providing detailed billing metrics and usage analytics. Facilitating rapid experimentation and innovation In the age of AI, rapid experimentation and innovation are essential for staying ahead of the competition.

Experimentation 62

Experimentation Optimization Risk Management Machine Learning 62