Smart Data Collective

OCTOBER 17, 2022

zettabytes in 2012. Consider the statistics from Domo that the number of home-based workers has increased from roughly 15% 18 months ago to more than 50% now (it was close to 100% at times during the epidemic). Reports and models stutter as they try to interpret the massive amounts of data flowing through them. Poor performance.

Big Data 105

Big Data Data-driven Recreation/Entertainment Data Governance 105

IBM Big Data Hub

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. This understanding can affect how the AI interacts with those around them.

Machine Learning 73

Machine Learning Deep Learning Interactive Modeling 73

CIO Business Intelligence

JULY 2, 2022

Working from home has been the dominant trend over the past two years, as professionals have embraced the home office to continue working while travel and office interactions were unsafe. For example, IDC data shows that 2021 there was a boom in monitor sales, with the highest volume of monitors shipped since 2012, at 143.6

Statistics 91

Statistics Sales Visualization Technology 91

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. The real fun begins once models get deployed in production.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

CIO Business Intelligence

JULY 5, 2022

Working from home has been the dominant trend over the past two years, as professionals have embraced the home office to continue working while travel and office interactions were unsafe. For example, IDC data shows that 2021 there was a boom in monitor sales, with the highest volume of monitors shipped since 2012, at 143.6

Statistics 83

Statistics Sales Visualization Technology 83

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

Alation

JULY 7, 2022

In 2012 Davenport and Patil declared the data scientist was “ The Sexiest Job of the 21st Century.” The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030. The rapid growth of data roles critical to data-centric business models demonstrate an awareness of this need.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Sisense

DECEMBER 11, 2019

And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience. From a startup in 2012, it is now valued at $3.2

Data Lake 80

Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

FEBRUARY 3, 2023

Email and client interaction; task routing Airslate Document-centric tasks such as PDF editing or generating eSignatures for contracts are one of the focuses for Airslate. The focus is interacting with web pages, databases, and Excel spreadsheets. Its “Conversational RPA” brings a natural language interface to many interactions.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

datapine

MAY 17, 2021

Businesses can benefit from improved data driven decision making as well as enhanced business processes and models and share insights across departments more fluently while propelling intelligent business strategies. What is a discovery model, and how do you use it in a real-world business context? 4) Have interactive visualizations.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161