CIO Business Intelligence

NOVEMBER 20, 2023

Take AVA, the AI-infused customer support bot that AirAsia introduced in 2019. Using generative AI as a part of the chatbot creation process is one of the most promising use cases at present, and certainly the least risky,” says Benedikt Schönhense, co-founder and head of data science at Springbok AI.

Interactive 130

Interactive Risk ROI Testing 130

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

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. Sci Foo 2019.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. In 2019, Netflix alone released 371 new TV shows and movies. ROI = Profit/Budget).

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. back to the structure of the dataset. Let’s look through some antidotes. How fast can the model be trained?

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

DataRobot

NOVEMBER 12, 2021

Although teams are starting to adopt third-party tools for deployment, 46 percent of survey respondents are not using a market-tested tool for deploying AI. That’s a risky business, as constructing AI models from scratch requires countless hours of time and effort, and the results may incorporate biased data and inappropriate algorithms.

Cost-Benefit 98

Cost-Benefit Machine Learning Sales ROI 98