IBM Big Data Hub

MARCH 4, 2024

This culture encourages experimentation and expertise growth. They understand that if one area of the business adopts AI while others lag or resist it (due to valid concerns), this exacerbates issues like Shadow AI, making it challenging to implement a holistic strategy.

Enterprise 106

Enterprise ROI Risk Strategy 106

DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Initially, the customer tried modeling using statistical methods to create typical features, such as moving averages, but the model metrics (R-square) was only 0.5 initial_value_guess.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

CIO Business Intelligence

MAY 1, 2024

For every optimistic forecast, there’s a caveat against a rush to launch. Pilots can offer value beyond just experimentation, of course. Saving just six minutes of developer time a month is enough to cover the cost, according to Redfin , although there are other metrics like code quality that organizations will want to track as well.

Cost-Benefit 138

Cost-Benefit Metrics Insurance Measurement 138

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. Juniper Research also forecasts that chat bots will save businesses about $8 billion annually by 2022.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

DataRobot Blog

SEPTEMBER 30, 2022

By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Adoption of AI/ML is maturing from experimentation to deployment. How do you track the integrity of a machine learning model in production? Model Observability can help.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

DataRobot Blog

FEBRUARY 15, 2023

Quite a few complex use cases, such as price forecasting, might require blending tabular data, images, location data, and unstructured text. This helps with getting more creative with your experimentation. The MLOps command center gives you a birds-eye view of your model, monitoring key metrics like accuracy and data drift.

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. <3 <3 <3.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. The best option is to hire a statistician with experience in data modeling and forecasting. Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Please see the advice above.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Domino Data Lab

AUGUST 22, 2019

We need to take a brief break from natural language-specific content here to introduce a metric that will come in handy in the next section of the chapter, when we will evaluate the performance of deep learning NLP models. In that case, Calculating the ROC AUC Metric. The Area under the ROC Curve. 0.85 = 0.15. Yet, because 0.51

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

DataRobot

APRIL 29, 2021

This year’s theme of The Hunt for Transformational Growth is designed to help organizations unleash the power of enterprise AI to improve forecasts, generate actionable insights, and unlock exponential growth for businesses worldwide. Eric Weber is Head of Experimentation And Metrics for Yelp.

Machine Learning 59

Machine Learning Experimentation Data-driven Data Science 59

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.

Experimentation 61

Experimentation Testing Statistics Metrics 61

CIO Business Intelligence

MAY 20, 2024

In its planning role, budgeting is an annual forcing function with usually quarterly updates of rolling forecasts that assembles the latest knowledge. Instead, companies should use metrics other than budget targets for rewards. As a means of control, budgets measure performance against planned targets, influencing employee behavior.

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