CIO Business Intelligence

JANUARY 9, 2023

Economic uncertainty Organizations are concerned about multiple economic forces that are all causing uncertainty, says Srinivas Mukkamala, chief product officer at Ivanti. How do you future-proof your business in the face of so much uncertainty? How do we grow our business responsibly?”

IT 145

IT Uncertainty Cost-Benefit Digital Transformation 145

erwin

AUGUST 13, 2020

managing risk vs ROI and emerging countries)? Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? Compliance and Legislation : How do we manage uncertainty around legislative change (e.g.,

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. The ROI is simply the fraction of the budget that the movie makes back at the box office (i.e.,

Risk 67

Risk ROI Modeling Metrics 67

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Forecasting at the “push of a button”?

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

JANUARY 4, 2023

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Key survey results: The C-suite is engaged with data quality.

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Be aware that machine learning often involves working on something that isn’t guaranteed to work.

Management 110

Management Machine Learning Experimentation Metrics 110

IBM Big Data Hub

APRIL 18, 2024

Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. The AGI would need to handle uncertainty and make decisions with incomplete information.

Cost-Benefit 92

Cost-Benefit Modeling Manufacturing Interactive 92