Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

CIO Business Intelligence

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

Sisense

OCTOBER 6, 2020

When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Digging into quantitative data. This is quantitative data. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

TDAN

OCTOBER 5, 2022

One of the technologies that is expected to grow is the Internet of Things (IoT). Here are a few statistics that support this belief: — IoT already has generated more than $123 billion […].

IoT 52

IoT Internet of Things Statistics Technology 52

IBM Big Data Hub

DECEMBER 18, 2023

GIS perform spatial analysis of geospatial datasets—consisting of vector data (points, lines and polygons) and raster data (cells with spatial information)—to produce connected visualizations. ” can be answered by geospatial data and GIS.

Internet of Things 96

Internet of Things IoT Forecasting Visualization 96

IBM Big Data Hub

APRIL 22, 2024

Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition. Generative AI refers to deep-learning models that can take raw data and “learn” to generate statistically probable outputs when prompted.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

AWS Big Data

AUGUST 1, 2024

Ingestion migration implementation is segmented by tenants and type of ingestion patterns, such as internal database change data capture (CDC); data streaming, clickstream, and Internet of Things (IoT); public dataset capture; partner data transfer; and file ingestion patterns.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Having more data is generally better; however, there are subtle nuances. Use of influence functions goes back to the 1970s in robust statistics. Upcoming events.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263