O'Reilly on Data

MARCH 31, 2020

For machine learning systems used in consumer internet companies, near continuous retraining happens throughout the day, processing billions of new input-output pairs. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself.

Management 332

Management Machine Learning Experimentation Metrics 332

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 95

Cost-Benefit Modeling Manufacturing Interactive 95

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. It used deep learning to build an automated question answering system and a knowledge base based on that information.

Management 110

Management Machine Learning Experimentation Metrics 110

O'Reilly on Data

SEPTEMBER 11, 2019

Deep learning,” for example, fell year over year to No. It’s more difficult to monitor, control, and optimize data flows in a data-in-motion paradigm. 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