Cloudera

SEPTEMBER 29, 2021

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

DataRobot Blog

OCTOBER 4, 2022

The shift in consumer habits and geopolitical crises have rendered data patterns collected pre-COVID obsolete. This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

Jet Global

JANUARY 22, 2020

At the beginning of the new decade, companies should review how well they’re utilizing today’s most important business asset: data. Over the past decade, enterprises across every industry have discovered that data is key to maintaining their competitive advantage. The question is why. A New Roadmap for Financial Reporting.

Reporting 78

Reporting Snapshot Data-driven Uncertainty 78

Darkhorse

MARCH 31, 2015

They’re ready to transform your organization into a data-driven decision-making juggernaut. Add to these all of the decisions that they could be making (but aren’t) because of uncertainty or laziness. We’ll do so by eliminating those with high risk in data inputs, research, and implementation. Now data can be a killer.

Uncertainty 45

Uncertainty Data-driven Consulting Metrics 45

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. A few highlights from the session include.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. It helps you to amplify what’s proven to work, throw away what isn’t, and tweak the goal-posts when data indicates that they may be in the wrong place.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

JULY 12, 2010

I want to constantly be in the know of new and more clever ways of working with data, tools that are often solutions to problems we don't know we have yet or tools that are sometimes seeking problems to solve!! Well not crap… lots of data that no one cared about or actioned. More desire to be data driven.

Analytics 96

Analytics Measurement Metrics KPI 96