DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. First, because uncertainty exploded. Business people want more data than ever. We’re no longer talking about tinkering at the margins of a stable business model.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

DataRobot

JULY 16, 2021

The first is trust in the performance of your AI/machine learning model. They all serve to answer the question, “How well can my model make predictions based on data?” So, we ask, what recommendations and assessments can you use to verify the origin and quality of the data used? How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

erwin

MAY 6, 2020

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term.

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. Traditional spreadsheets no longer serve their purpose, there is just too much data to store, manage and analyze.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Domino Data Lab

JUNE 23, 2019

It’s harder for many folks in this role who don’t have any data or machine learning background and are thrown or thrust into shipping something like this. They lack probably what a lot of folks in this room have in terms of domain expertise around data, machine learning, and how these models work.

Management 110

Management Machine Learning Experimentation Metrics 110

Darkhorse

AUGUST 26, 2016

You have devised a number of time-tested shortcuts to deal with uncertainty. keeps talking about his models as if they’re some kind of authority: “The model says so”. You’ll choose simpler models. You’ll visualize way more. You put your reputation on the line with every one of these decisions.

Uncertainty 40

Uncertainty Data Quality Modeling Testing 40