KDnuggets

JANUARY 24, 2023

Leading expert Ronny Kohavi, drawing from his 20+ years of experience, will walk you through the ins and outs of experimentation, identifying key insights and working through live demos in his live course, Accelerating Innovation with A/B Testing, starting January 30th.

Experimentation 89

Experimentation Testing Measurement 89

CIO Business Intelligence

JANUARY 14, 2025

By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals. Experimentation: The innovation zone Progressive cities designate innovation districts where new ideas can be tested safely.

Enterprise 119

Enterprise Technology Metrics Measurement 119

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. Measurement, tracking, and logging is less of a priority in enterprise software.

Management 363

Management Machine Learning Experimentation Metrics 363

Rocket-Powered Data Science

FEBRUARY 15, 2023

encouraging and rewarding) a culture of experimentation across the organization. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired! This can be overcome with small victories (MVP minimum viable products, or MLP minimum lovable products) and with instilling (i.e., Test early and often.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

DataKitchen

JANUARY 20, 2021

Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Central DataOps process measurement function with reports. A COE typically has a full-time staff that focuses on delivering value for customers in an experimentation-driven, iterative, result-oriented, customer-focused way.

Metrics 243

Metrics Experimentation Measurement Testing 243

CIO Business Intelligence

JANUARY 10, 2025

High expectations, but ROI challenges persist Despite significant investments, only 31% of organizations expect to measure generative AIs return on investment in the next six months. The dynamic nature of AI demands new ways to measure value beyond the limits of a conventional business case, Chase said.

ROI 81

ROI Enterprise Broadcasting Metrics 81

O'Reilly on Data

SEPTEMBER 15, 2020

Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence: Competence measures a team’s ability to successfully deliver on initiatives and projects. They’re not new to the field; they’ve solved problems, and have discovered what does and doesn’t work.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

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. Besides infrastructure, effective A/B testing requires a control plane, a modern experimentation platform, such as StatSig.

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

JANUARY 21, 2025

Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts. Why should CIOs bet on unifying their data and AI practices?

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

Occam's Razor

NOVEMBER 12, 2006

Mostly because short term goals drive a lot of what we do and if you are selling something on your website then it only seems to make logical sense that we measure conversion rate and get it up as high as we can as fast as we can. So measure Bounce Rate of your website. Even though we should not obsess about conversion rate we do.

Measurement 99

Measurement Analytics Marketing Optimization 99

CIO Business Intelligence

MARCH 5, 2025

Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. The next thing is to make sure they have an objective way of testing the outcome and measuring success.

Testing 99

Testing Measurement Technology Experimentation 99

CIO Business Intelligence

MARCH 4, 2025

This article goes behind the scenes on whats fueling Blocks investment in developer experience, key initiatives including the role of an engineering intelligence platform , and how the company measures and drives success. Rather, Coburns team optimizes for fast experimentation and a metrics-driven approach.

Experimentation 69

Experimentation Metrics Data-driven Measurement 69

Corinium

JUNE 6, 2019

A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment. It is also important to have a strong test and learn culture to encourage rapid experimentation. What is the most common mistake people make around data?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

MAY 20, 2025

The days of focusing primarily on AI experimentation and proofs of concepts are in the past. Now, chief executives want their CIOs to identify how AI can deliver measurable value to the organization, says Mark Taylor , CEO of the Society for Information Management (SIM), a nonprofit professional association.

Strategy 75

Strategy Risk Experimentation Measurement 75

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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

AUGUST 20, 2024

While the focus at these three levels differ, CIOs should provide a consistent definition of high performance and how it’s measured. Emerging leaders who may be agile team leaders and product owners should prioritize developing business acumen and improving facilitation skills to lead self-organizing teams.

IT 141

IT Digital Transformation Experimentation Risk 141

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 319

Management Machine Learning Metrics Modeling 319

Occam's Razor

APRIL 8, 2013

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. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

CIO Business Intelligence

MAY 21, 2025

It can even be used for controlled experimentation, assuming you can make it accurate enough. Synthetic data ought to help preserve privacy, speed up development, and be more cost effective for long-tail scenarios enterprises couldnt otherwise tackle, she adds. Indeed, organizations are probably already using it in limited ways outside AI.

Statistics 104

Statistics Testing Modeling Risk 104

CIO Business Intelligence

FEBRUARY 1, 2024

Prioritising and measuring is key Generative AI represents a welcome shot in the arm for a sector in desperate need of efficiency and productivity gains. In the short term, healthcare CIOs need to focus on prioritising their use cases and ensuring they have a robust measuring framework in place to assess the results of trial deployment.

Experimentation 115

Experimentation Forecasting Measurement Cost-Benefit 115

Occam's Razor

JULY 18, 2011

You just have to have the right mental model (see Seth Godin above) and you have to… wait for it… wait for it… measure everything you do! For everything you do it is important to measure your effectiveness of all three phases of your effort: Acquisition. You’re trying to measure how well you are doing to: Send emails.

Metrics 138

Metrics Marketing Measurement Cost-Benefit 138

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 110

IoT Machine Learning Metadata Data-driven 110

CIO Business Intelligence

SEPTEMBER 12, 2024

Unmonitored AI tools can lead to decisions or actions that undermine regulatory and corporate compliance measures, particularly in sectors where data handling and processing are tightly regulated, such as finance and healthcare. Review and integrate successful experimental AI projects into the company’s main operational framework.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

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. So what are the leaders doing differently?

ROI 59

ROI Experimentation Insurance Strategy 59

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

DataKitchen

APRIL 13, 2021

DataOps requires that teams measure their analytic processes in order to see how they are improving over time. 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. Azure DevOps.

Testing 304

Testing Machine Learning Consulting Data Science 304

Data Science 101

JANUARY 15, 2020

Some pitfalls of this type of experimentation include: Suppose an experiment is performed to observe the relationship between the snack habit of a person while watching TV. 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

CIO Business Intelligence

JUNE 13, 2024

Proof that even the most rigid of organizations are willing to explore generative AI arrived this week when the US Department of the Air Force (DAF) launched an experimental initiative aimed at Guardians, Airmen, civilian employees, and contractors.

Testing 119

Testing Experimentation Data Processing Modeling 119

CIO Business Intelligence

MARCH 28, 2023

As today’s great leaders recognize, true success is not solely measured by the bottom line but also by the impact a business has on its stakeholders, including employees, partners, and the environment. Here are some ways leaders can cultivate innovation: Build a culture of experimentation. Invest in technology. Use data and metrics.

Experimentation 98

Experimentation Metrics Measurement Digital Transformation 98

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). Industry 4.0 Examples: (1) Automated manufacturing assembly line. (2) 2) Roomba (vacuums your house). (3) 4) Prosthetics.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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. Leaders must clearly define what they want to achieve through digital transformation and how they plan to do it.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

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. They should also have experience with pattern detection, experimentation in business, optimization techniques, and time series forecasting.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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. What are you measuring?

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

CIO Business Intelligence

AUGUST 15, 2024

Take a measured approach As enterprises search for the long-term, transformational use cases for gen AI, many CIOs are under pressure from CEOs or board members to find value now, observers say. “The current AI boom shares some characteristics with past tech bubbles, such as inflated expectations and lofty valuations,” Tahir says.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

CIO Business Intelligence

JANUARY 28, 2025

This transition represents more than just a shift from traditional systemsit marks a significant pivot from experimentation and proof-of-concept to scaled adoption and measurable value.

Digital Transformation 52

Digital Transformation Data-driven Experimentation Strategy 52

CIO Business Intelligence

OCTOBER 15, 2024

One example is how DevOps teams use feature flags, which can drive agile experimentation by enabling product managers to test features and user experience variants. CIOs may mistakenly underinvest in practices that improve user experiences, increase alignment with business stakeholders, and promote a positive developer experience.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

MARCH 12, 2024

The maturity of any development organization can easily be measured in terms of the size and type of investment made in QA,” he says. Software and coding development remain a high-value area for experimentation, in addition to content development and knowledge management, in an effort to boost operational efficiencies,” he says.

Software 131

Software Experimentation Testing Cost-Benefit 131