DataRobot

JANUARY 13, 2022

Many companies find that they have a treasure trove of data but lack the expertise to use it to improve ROI. Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. DataRobot is just such a platform.

ROI 52

ROI Machine Learning Experimentation Data Science 52

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

FineReport

DECEMBER 11, 2019

. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. You’ll learn about the concept of big data and how to use big data—from computing ROI and big data strategies that drive business cases to the overall development and specific projects. By Michael Milton.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Here are some areas where organizations are seeing a ROI: Text (83%) : Gen AI assists with automating tasks like report writing, document summarization and marketing copy generation.

Cost-Benefit 96

Cost-Benefit Modeling Manufacturing Interactive 96

Occam's Razor

AUGUST 22, 2011

Customer Lifetime Value ROI, Buzz Monitoring, Click Fraud. Six Data Visualizations That Rock! The Awesome Power of Visualization 2 -> Death and Taxes 2007. The Awesome Power of Data Visualization. PPC / SEM Analytics: 5 Actionable Tips To Improve ROI. Build A Great Web Experimentation & Testing Program.

KPI 124

KPI Metrics Measurement ROI 124

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end.

Management 110

Management Machine Learning Experimentation Metrics 110