Smart Data Collective

JUNE 26, 2019

Get Rid of Blind Spots in Statistical Models With Machine Learning. Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable.

ROI 102

ROI Statistics Machine Learning Measurement 102

Smart Data Collective

JULY 25, 2019

A lot of the emphasis so far has been on the use of big data to better engage with external third-parties, but big data can be equally valuable for managing internal hospital systems. Big Data is the Key to Improving the Efficiency of Hospital Management Systems? Big Data is the Key to Hospital Management. Conclusion.

Big Data 96

Big Data Data Transformation Management Software 96

Cloudera

MARCH 2, 2018

While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be. Bridgespan Group estimated in 2015 that only 6% of nonprofits use data to drive improvements in their work.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Smart Data Collective

JUNE 14, 2019

Big data has made digital calendars more sophisticated than ever. Machine learning algorithms make it easier to plan your schedule, because they can help optimize your schedule. These big data algorithms make enable you to estimate the amount of time an event will take, based on experiences with similar events.

Big Data 98

Big Data Machine Learning Optimization Reporting 98

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. There are legitimate concerns about the inherent biases of machine learning algorithms.

Machine Learning 50

Machine Learning Internet of Things Cost-Benefit Data-driven 50

Cloudera

APRIL 21, 2022

Most of the massive data-management tasks DoD faces fall into that area where data, analytics, and the cloud intersect. The DoD/VA team spent four years and $1 billion on a joint records program called iEHR, only to abandon it in 2013 in favor of separate systems (neither one could scale).

Metadata 86

Metadata Informatics Insurance Data Processing 86

DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. DataRobot Data Prep. Sallam | Shubhangi Vashisth.

Analytics 40

Analytics IoT Internet of Things B2B 40

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

BizAcuity

MAY 10, 2022

Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. 2015: Google announces Google Kubernetes Engine for the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. Google releases Kubernetes. A major disruptor in the cloud markets.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 102

Data Lake Visualization Optimization Interactive 102

CIO Business Intelligence

MAY 17, 2022

Around 2015, Capital One went to AWS re:Invent and set forth our aspirational goal to modernize our entire technology infrastructure. Basically, we wanted to get out of our data centers and run in a public cloud. Risk management was always one of the core foundations of the company.

ROI 52

ROI Risk Marketing Modeling 52

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. They use data infrastructure at work. That’s no problem. Recommended Resources.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Cloudera

DECEMBER 11, 2017

Claudia Juech is the founding Executive Director of the Cloudera Foundation , which will use Cloudera’s expertise in data analytics and machine learning to change people’s lives for the better. Then they came for me—and there was no one left to speak for me.

Strategy 40

Strategy Data-driven Reporting Data Processing 40