Smart Data Collective

MARCH 17, 2020

The global demand for big data is surging. But is it really right for you? Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. But not many people understand what it really is and how it’s going to change the world. Sexiest Job of 21 st Century.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins advised that data scientists ingest business problems, re-frame them as ML tasks, execute on the ML tasks, and then clearly and concisely communicate the results back to the organization.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Once you have it in the workplace, you get 1,000 use cases because everyone wants to do it.” billion to the global economy.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Data science and uncertainty Data Science (DS) deals with data-driven decision making under uncertainty.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Sisense

SEPTEMBER 12, 2019

We’ve been talking a lot recently about companies needing to use their data in order to stay in business in the future. We’ve even gone as far as saying that every company is a data company , whether they know it or not. And it can do the same for you. But what is a BI strategy in today’s world?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

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 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. for what is and isn’t possible) to address these challenges. Session Summary. It is similar to R&D. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

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

Occam's Razor

FEBRUARY 7, 2011

Hence every once in a while I flip the tables and ask you for challenges you are facing. It is a great way to stay connected to what's most important to you (and keep the blog and its content relevant!). This past Monday I asked for your questions and you were kind enough to share some awesome questions.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

datapine

DECEMBER 4, 2019

Predictive Analytics: What could happen? Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212