The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

CIO Business Intelligence

JANUARY 2, 2024

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. What benefit does AI serve to that department? But at the end of the day, it boils down to statistics.

IT 144

IT Cost-Benefit Statistics Consulting 144

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As To address the challenges, the company has leveraged a combination of computer vision, neural networks, NLP, and fuzzy logic.

Digital Transformation 79

Digital Transformation Cost-Benefit Informatics Data mining 79

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation. Worse, the community may act on these ambiguous explanations, incurring real costs. Note also that this account does not involve ambiguity due to statistical uncertainty.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45