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

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

Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. Data processing is […].

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Statistics Data Science Experimentation Publishing 357

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. Ongoing monitoring of critical metrics is yet another form of experimentation.

Marketing 363

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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

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

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Enterprise Testing Business Objectives Experimentation 143

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

CIO Business Intelligence

OCTOBER 17, 2024

On one hand, they must foster an environment encouraging innovation, allowing for experimentation, evaluation, and learning with new technologies. This structured approach allows for controlled experimentation while mitigating the risks of over-adoption or dependency on unproven technologies. Assume unknown unknowns.

Risk 104

Risk Experimentation Testing Strategy 104

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 352

IT Testing Experimentation Software 352

CIO Business Intelligence

NOVEMBER 13, 2024

We launched an initial pilot phase in April and have been customer-testing since.” During the testing phase, he said, “we worked with around 20 of our close customers. “From Day Zero, as ChatGPT became more viable, we started to look at how we could integrate AI in a valuable way for customers.

Experimentation 113

Experimentation Testing Software Risk 113

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

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 Strategy Data-driven 115

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

CIO Business Intelligence

NOVEMBER 19, 2024

This stark contrast between experimentation and execution underscores the difficulties in harnessing AI’s transformative power. Solution: Conduct thorough scalability testing and use modular architectures to facilitate easier scaling. Of those, just three are considered successful.

Consulting 123

Consulting Cost-Benefit Experimentation Optimization 123

Cloudera

SEPTEMBER 18, 2024

Unique Data Integration and Experimentation Capabilities: Enable users to bridge the gap between choosing from and experimenting with several data sources and testing multiple AI foundational models, enabling quicker iterations and more effective testing.

Data-driven 84

Data-driven Optimization Experimentation Testing 84

CIO Business Intelligence

OCTOBER 17, 2024

Despite critics, most, if not all, vendors offering coding assistants are now moving toward autonomous agents, although full AI coding independence is still experimental, Walsh says. With existing, human-written tests you just loop through generated code, feeding the errors back in, until you get to a success state.”

Software 141

Software Testing Experimentation Consulting 141

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 304

Testing Machine Learning Consulting Data Quality 304

CIO Business Intelligence

SEPTEMBER 12, 2024

If the code isn’t appropriately tested and validated, the software in which it’s embedded may be unstable or error-prone, presenting long-term maintenance issues and costs. Provide sandboxes for safe testing of AI tools and applications and appropriate policies and guardrails for experimentation.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

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

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.

Experimentation 103

Experimentation Testing Optimization Measurement 103

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

AUGUST 23, 2024

Making that available across the division will spur more robust experimentation and innovation, he notes. We can test [models] side by side with human experts to do the validation before it reaches full production,” he says. The core set of engineers building the platform have harnessed this feature to speed up the process.

Data Science 101

Data Science Experimentation Testing Modeling 101

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 121

Enterprise Experimentation Sales Manufacturing 121

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 314

Testing Technology Analytics Experimentation 314

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

IBM Big Data Hub

JUNE 10, 2024

Facilitating rapid experimentation and innovation In the age of AI, rapid experimentation and innovation are essential for staying ahead of the competition. XaaS models facilitate experimentation by providing businesses with access to a wide range of AI tools, platforms and services on demand.

Experimentation 62

Experimentation Optimization Risk Management Modeling 62

AWS Big Data

SEPTEMBER 5, 2024

Deploy a dense vector model To get more valuable test results, we selected Cohere-embed-multilingual-v3.0 , which is one of several popular models used in production for dense vectors. Experimental data selection For retrieval evaluation, we used to use the datasets from BeIR. How to combine dense and sparse?

Metrics 100

Metrics Testing Experimentation Modeling 100

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 75

Metadata Cost-Benefit Metrics Optimization 75

Dataiku

APRIL 1, 2024

Automation is challenging — innovation will not be an overnight process and rather requires iterative experimentation and a safe environment to test, fail, and learn from experiences.

Insurance 59

Insurance Experimentation Testing 59

CIO Business Intelligence

AUGUST 20, 2024

Drive culture by example: Customer centricity, diverse hiring, experimentation “The best CIOs are the change agents in their organizations and encourage their teams to explore new ways of doing things,” says Gal Shaul, chief product and technology officer and co-founder at Augury.

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

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

Dataiku

MAY 23, 2023

Once a data science project has progressed through the stages of data cleaning and preparation, analysis and experimentation, modeling, testing, and evaluation, it reaches a critical point.

Data Science 52

Data Science Experimentation Machine Learning Testing 52

CIO Business Intelligence

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

OCTOBER 31, 2024

There’s value in that kind of tinkering and experimentation on the employee level, but you want to do it safely,” says Nick van der Meulen, a research scientist at MIT CISR. “A It will therefore take cross-functional collaboration to deliver this value in scale, with rigorous testing and clear governance.”

Data-driven 142

Data-driven Unstructured Data Experimentation Consulting 142

Aryng

APRIL 25, 2022

” – Ronald Fisher Experimentation is a powerful tool for businesses to innovate and test new ideas, but few seem to be using this tool right. […] The post How to use experiments to find your way to success appeared first on Aryng's Blog. He can perhaps say what the experiment died of.”

Experimentation 52

Experimentation Consulting Testing Metrics 52