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 That, in turn, led to a slew of manual processes to make descriptive analysis of the test results. This allowed us to derive insights more easily.”

Digital Transformation 102

Digital Transformation Cost-Benefit Informatics Data mining 102

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

bridgei2i

MAY 18, 2020

The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. These could also be analyzing projected RoI vs Alignment of these initiatives to operational and strategic objectives or zero-based budgeting. However, this crisis will test the progress made.

B2B 52

B2B Sales ROI Marketing 52

O'Reilly on Data

SEPTEMBER 15, 2020

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

Cost-Benefit 300

Cost-Benefit Advertising ROI Machine Learning 300

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Based on the decisions being made and how quickly plans can adjust to new forecast updates, what is the cost of forecasting too high or too low? If the costs of prediction error are asymmetric (e.g. 95th percentile).

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. It is similar to R&D. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110