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. An Overarching Concern: Correctness and Testing. This approach is not novel. Why did something break? Who did what and when?

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

JANUARY 14, 2025

The time for experimentation and seeing what it can do was in 2023 and early 2024. Its typical for organizations to test out an AI use case, launching a proof of concept and pilot to determine whether theyre placing a good bet. These, of course, tend to be in a sandbox environment with curated data and a crackerjack team.

Strategy 141

Strategy ROI Experimentation Risk 141

CIO Business Intelligence

JANUARY 7, 2025

Driving a curious, collaborative, and experimental culture is important to driving change management programs, but theres evidence of a backlash as DEI initiatives have been under attack , and several large enterprises ended remote work over the past two years.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

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 95

Experimentation Testing Measurement 95

Rocket-Powered Data Science

FEBRUARY 15, 2023

encouraging and rewarding) a culture of experimentation across the organization. Keep it agile, with short design, develop, test, release, and feedback cycles: keep it lean, and build on incremental changes. Test early and often. Encourage and reward a Culture of Experimentation that learns from failure, “ Test, or get fired!

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

DataKitchen

APRIL 13, 2021

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 300

Testing Machine Learning Consulting Data Science 300

CIO Business Intelligence

DECEMBER 17, 2024

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. Find a change champion and get business users involved from the beginning to build, pilot, test, and evaluate models. Click here to learn more about how you can advance from genAI experimentation to execution.

Experimentation 98

Experimentation ROI Risk Data Quality 98

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

Smart Data Collective

OCTOBER 13, 2022

These patterns could then be used as the basis for additional experimentation by scientists or engineers. Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. Automated Testing of Features. Generative Design. Quality Assurance.

Testing 128

Testing Cost-Benefit Experimentation Optimization 128

CIO Business Intelligence

JANUARY 6, 2025

Deliver value from generative AI As organizations move from experimenting and testing generative AI use cases , theyre looking for gen AI to deliver real business value. I firmly believe continuous learning and experimentation are essential for progress. Ronda Cilsick, CIO of software company Deltek, is aiming to do just that.

IT 140

IT Cost-Benefit Measurement Experimentation 140

DataKitchen

JANUARY 20, 2021

Develop/execute regression testing . Test data management and other functions provided ‘as a service’ . 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. Agile ticketing/Kanban tools. Deploy to production.

Metrics 243

Metrics Experimentation Measurement Testing 243

Analytics Vidhya

DECEMBER 15, 2023

Although Spotify confirmed the test to TechCrunch, details about the technology and its workings remain undisclosed, leaving users intrigued. Unveiling the AI Playlists Feature This fall, eagle-eyed users discovered a new feature on Spotify’s streaming app, allowing the creation of AI-driven playlists through prompts.

Testing 319

Testing Technology Analytics Experimentation 319

CIO Business Intelligence

NOVEMBER 7, 2024

This initiative offers a safe environment for learning and experimentation. Phase two focused on developing use cases, creating a backlog, exploring domains for resource allocation, and identifying the right subject matter experts for testing and experimentation. We are also testing it with engineering.

Insurance 120

Insurance Experimentation Testing Technology 120

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

OCTOBER 24, 2024

As they look to operationalize lessons learned through experimentation, they will deliver short-term wins and successfully play the gen AI — and other emerging tech — long game,” Leaver said. The rest of their time is spent creating designs, writing tests, fixing bugs, and meeting with stakeholders. “So

ROI 127

ROI Data-driven Enterprise Experimentation 127

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. This approach offers greater flexibility and control over workflow management.

Metadata 106

Metadata Cost-Benefit Metrics Optimization 106

Corinium

JUNE 6, 2019

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. 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

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

This has serious implications for software testing, versioning, deployment, and other core development processes. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

Management 363

Management Machine Learning Experimentation Metrics 363

O'Reilly on Data

SEPTEMBER 15, 2020

Results are typically achieved through a scientific process of discovery, exploration, and experimentation, and these processes are not always predictable. Given the scientific nature of AI, goals are better expressed as well-posed questions and hypotheses around a specific and intended benefit or outcome for a certain stakeholder.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

CIO Business Intelligence

JULY 12, 2024

They’ve also been using low-code and gen AI to quickly conceive, build, test, and deploy new customer-facing apps and experiences. In a fiercely competitive industry, where CX is critical to differentiation, this approach has enabled them to build and test new innovations about 10 times faster than traditional development.

Experimentation 124

Experimentation Testing Enterprise Strategy 124

Aryng

APRIL 13, 2022

“Experimentation is the least arrogant method of gaining knowledge. The experimenter humbly asks a question of nature.” For companies […] The post How to use Experimentation as a Growth Accelerator appeared first on Aryng's Blog.

Experimentation 52

Experimentation IT Testing 52

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. During testing and evaluation, application performance is important, but not critical to success. require not only disclosure, but also monitored testing. Debugging AI Products.

Management 308

Management Machine Learning Metrics Modeling 308

CIO Business Intelligence

OCTOBER 15, 2024

But continuous deployment isn’t always appropriate for your business , stakeholders don’t always understand the costs of implementing robust continuous testing , and end-users don’t always tolerate frequent app deployments during peak usage. CrowdStrike recently made the news about a failed deployment impacting 8.5

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

datapine

MAY 20, 2020

When we say “optimal design,” we don’t mean cramming piles of information into one space or being overly experimental with colors. Test, tweak, evolve. Take the time to analyze, explore, test your CRM reports samples, and ask for regular feedback. Use white space where you can and double up your margins if possible.

Dashboards 265

Dashboards Reporting KPI Visualization 265

The Unofficial Google Data Science Blog

APRIL 23, 2024

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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 59

Testing Experimentation Measurement Modeling 59

CIO Business Intelligence

APRIL 12, 2024

Large banking firms are quietly testing AI tools under code names such as as Socrates that could one day make the need to hire thousands of college graduates at these firms obsolete, according to the report.

Experimentation 143

Experimentation Reporting Testing Statistics 143

CIO Business Intelligence

MARCH 12, 2024

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. Gen AI is also reducing the time needed to complete testing, via automation, Ramakrishnan says.

Software 131

Software Experimentation Testing Cost-Benefit 131

CIO Business Intelligence

FEBRUARY 9, 2024

Maintain rigorous testing standards With gen AI most likely being utilized by a large number of the workforce in your organization, it’s important to train and educate employees on the pros and cons and use your corporate use policy as a starting point. The gaslighting, experimentation, and learning along the way are all part of the process.

IT 138

IT Experimentation Risk Testing 138

CIO Business Intelligence

MAY 9, 2024

Experimentation drives momentum: How do we maximize the value of a given technology? Via experimentation. This can be as simple as a Google Sheet or sharing examples at weekly all-hands meetings Many enterprises do “blameless postmortems” to encourage experimentation without fear of making mistakes and reprisal.

Enterprise 122

Enterprise Experimentation Sales Manufacturing 122

CIO Business Intelligence

OCTOBER 3, 2024

From budget allocations to model preferences and testing methodologies, the survey unearths the areas that matter most to large, medium, and small companies, respectively. The complexity and scale of operations in large organizations necessitate robust testing frameworks to mitigate these risks and remain compliant with industry regulations.

Testing 129

Testing Cost-Benefit Experimentation Risk 129

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Aryng

APRIL 22, 2022

Most managers are good at formulating innovative […] The post How to differentiate the thin line separating innovation and risk in experimentation appeared first on Aryng's Blog. We have seen this as a general trend in start-ups, and we know that it’s an awful feeling!

Experimentation 52

Experimentation Risk Management IT 52

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

SEPTEMBER 23, 2024

The emergence of generative artificial intelligence (GenAI) is the latest groundbreaking development to put payers to the test when it comes to staying nimble and competitive without taking unnecessary risks. The time is now The time has come for healthcare organizations to shift from GenAI experimentation to implementation.

Management 115

Management Experimentation Data-driven Strategy 115