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.

Cost-Benefit 140

Cost-Benefit Metrics Insurance Measurement 140

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

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. If you have access to existing data, take some time to document what the current performance looks like. Identify, hypothesize, test, react. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

CIO Business Intelligence

MAY 9, 2024

And because generative AI (genAI) is interactive and dialogue-based, it can help you get into a state of flow. Experimentation drives momentum: How do we maximize the value of a given technology? Via experimentation. AI changes the game. If the C-suite’s role is to lead by influence, the SWAT team’s role is to lead by execution.

Enterprise 100

Enterprise Experimentation Sales Optimization 100

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). Once all packages have been imported, we can move on to loading our test data. We can then proceed with pharmacokinetic modeling, testing the goodness of fit of various models.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Domino Data Lab

AUGUST 26, 2019

This control prevents overfitting and reduction in predictive accuracy on new test data. If we don’t like the result of testing after training, we can also select an entirely different learning machine with different internals. If you look at the documentation, you’ll see that n_neighbors and p are simply integers.

Testing 79

Testing Modeling Machine Learning Metrics 79

Insight

MARCH 12, 2020

To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. On my test set, this approach resulted in~75–95% accuracy and ~.65 In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. That turns generic documentation into conversational programming where the AI can take your data and show you how to write a query, for example.

Modeling 97

Modeling Testing Cost-Benefit Experimentation 97

Domino Data Lab

JULY 2, 2019

People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14). Instead, program synthesis can address these issues.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

AUGUST 22, 2019

Common natural language preprocessing options include: Tokenization: This is the splitting of a document (e.g., Execute gutenberg.fileids() to print the names of all 18 documents.) As we wrap up the section later on, we’ll apply the steps across the entire 18-document corpus. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

O'Reilly on Data

JULY 25, 2023

Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much.

Consulting 246

Consulting Interactive Software IT 246

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). What ideas to test first on your site? Bonus: Interactive CD. Qualitative and quantitative.

Analytics 60

Analytics Metrics Marketing Dashboards 60

DataRobot

SEPTEMBER 14, 2021

And for those that do make it past the experimental stage, it typically takes over 18 months for the value to be realized. Even models that are tested for bias during the development can become biased once in production. If bias is detected, MLOps also provides interactive visualizations to help you diagnose its source.

Machine Learning 94

Machine Learning Modeling Experimentation Visualization 94

CIO Business Intelligence

SEPTEMBER 27, 2023

By suggesting a number of use cases, we further encourage experimentation and creative application.” Fostering a culture of learning Skillsoft, a provider of education services and technology, has been leveraging AI for some time to deliver personalized, dynamic, and interactive learning experiences for users.

Strategy 124

Strategy Risk Data-driven Modeling 124