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

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. What makes or breaks the success of a modernization is our willingness to develop a detailed, data-driven understanding of the unique needs of those that we aim to benefit.

Data-driven 89

Data-driven IT Measurement Cost-Benefit 89

Jet Global

DECEMBER 31, 2019

You help companies adapt to a changing, tech-driven economy. Among several services my organization provides; we help individuals, enterprises, and public agencies plan, prepare, and manage through the uncertainty, demands, and challenges of the future. How quickly do companies need to become “data-driven”?

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

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. Let’s cull the herd.

Uncertainty 45

Uncertainty Data-driven Consulting Metrics 45

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Figure 4: Visualization of a central composite design.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Jet Global

MAY 18, 2020

It now includes data scientists and strategists, alongside the traditional controllers and accountants, meaning there are many more people looking at numbers. And that’s the last thing you want during in periods of uncertainty where things are changing on a daily basis. The skillset in the Office of the CFO is changing.

Finance 64

Finance Reporting Uncertainty Testing 64

Jet Global

MARCH 13, 2020

Instead of accepting a snapshot of past financial performance, CFOs now expect live streaming video, meaning the newest financial performance data made instantly available in as much detail as possible. Analysis – Data has very little value in its raw form. ERP systems exist to collect, manage, and store data.

Finance 64

Finance Snapshot Reporting Uncertainty 64

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

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “AI,” meanwhile, is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Sisense

DECEMBER 13, 2021

It’s what allows them to unlock the full power of their data and make informed decisions. But, many don’t know where to begin or how exactly to work with their data to their optimal benefit. Data gives insight into user demographics, habits, preferences, and more. What is business intelligence?

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

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