IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. The AGI would need to handle uncertainty and make decisions with incomplete information.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

Mark Raskino

AUGUST 30, 2017

The President of Iceland Olafur Ragnar Grimsson explained this phenomenon to me when I had the privilege to interview him in 2011 (Gartner Report: G00212784 ). “So He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea.

Testing 53

Testing Experimentation Uncertainty Risk 53

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.

Experimentation 95

Experimentation Statistics Testing Strategy 95

CIO Business Intelligence

SEPTEMBER 19, 2023

How can enterprises attain these in the face of uncertainty? Rogers: This is one of two fundamental challenges of corporate innovation — managing innovation under high uncertainty and managing innovation far from the core — that I have studied in my work advising companies and try to tackle in my new book The Digital Transformation Roadmap.

Digital Transformation 130

Digital Transformation Uncertainty Testing Enterprise 130

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. They might deal with uncertainty, but they're not random. Online, offline or nonline. Yet this structure rarely exists in companies.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

O'Reilly on Data

OCTOBER 13, 2020

To support verification in these areas, a product manager must first ensure that the AI system is capable of reporting back to the product team about its performance and usefulness over time. Returning to previous anti-bias and AI transparency tools such as Model Cards for Model Reporting (Timnit Gebru, et al.)

Management 240

Management Metrics Machine Learning Modeling 240

CIO Business Intelligence

AUGUST 25, 2023

This demonstrates how his team stays in lockstep with the business on investment priorities in a period where economic uncertainty has narrowed the scope of technology investment. Research reports have dangled that generative AI could add trillions to the global economy. That’s the way you want it.

Strategy 98

Strategy Data Strategy Experimentation Uncertainty 98

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. The expected precision of our inferences can be computed by simulating possible experimental outcomes. Wouldn't it be great if we didn't require individual data to estimate an aggregate effect?

Advertising 42

Advertising Testing Sales Statistics 42

O'Reilly on Data

SEPTEMBER 11, 2019

Spark has emerged as the general-purpose data processing engine of choice; interest in Hadoop is waning, although reports of its death are greatly exaggerated. In the third place, there’s uncertainty about what to do with all of this data. Nor is big data itself a topic of controversy, confusion, uncertainty, or, even, ignorance.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20