Dataiku

NOVEMBER 6, 2020

When it comes to calculating the return on investment (ROI) of data science, machine learning, and AI projects, there’s a lot to unpack. Before even jumping into the measurements and calculations, it’s important to understand the scope.

ROI 68

ROI Measurement Machine Learning Data Science 68

CIO Business Intelligence

SEPTEMBER 11, 2023

Digital-first and data/AI are the two key pillars of TIAA’s business strategy and a core part of its broad tech transformation. It has also meant taking a concerted approach to achieve the objective of continued learning for TIAA’s leaders and associates globally on digital, data, AI, and emerging technologies.

Digital Transformation 135

Digital Transformation ROI Strategy Technology 135

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MAY 8, 2019

Several technology conferences all occurred within four fun-filled weeks: Strata SF , Google Next , CMU Summit on US-China Innovation, AI NY , and Strata UK , plus some other events. Admittedly, throughout large swaths of computer science, reductionism serves quite well. Quick summary: there’s a persnickety problem.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. 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. Session Summary. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110