IBM Big Data Hub

APRIL 22, 2024

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

CIO Business Intelligence

MAY 18, 2022

On taking IoT projects beyond the pilot phase: To understand both the opportunity and the challenge that we have, I will focus on one statistic that McKinsey gave, which is that 83% of IoT projects today—globally—are stuck in the pilot or prototype phase. We embedded about 120 IoT sensors in our printers.

IoT 81

IoT Internet of Things Statistics Technology 81

CIO Business Intelligence

JUNE 28, 2022

More importantly, we also have statistical models that draw error bars that delineate the limits of our analysis. It’s easy to spend 10 times as much time on cleaning up data for use in a data science project than just starting up the routine in R or Python to actually perform the statistical analysis.

Management 129

Management Internet of Things Statistics Data-driven 129

Sisense

OCTOBER 15, 2020

The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. The UI allows users to parse their source data in formats including JSON, CSV, Avro, Parquet and Protobuf.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Smart Data Collective

JANUARY 10, 2023

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. BI and IoT are a perfect duo as while IoT devices can gather important data in a real team, BI software is intended for processing and visualizing this information. Will it make sense?

IoT 110

IoT Business Intelligence Visualization Internet of Things 110

bridgei2i

SEPTEMBER 27, 2019

With an avalanche of tech such as Artificial intelligence (AI), Internet of Things (IoT), 5G Telephones, and Nanotechnology, the entirety of Science Technology Engineering Math (STEM) is advancing at a rapid rate. Indeed, Industrial Revolution 4.0

Enterprise 40

Enterprise Digital Transformation Internet of Things IoT 40

bridgei2i

SEPTEMBER 27, 2019

With an avalanche of tech such as Artificial intelligence (AI), Internet of Things (IoT), 5G Telephones, and Nanotechnology, the entirety of Science Technology Engineering Math (STEM) is advancing at a rapid rate. Indeed, Industrial Revolution 4.0

Enterprise 40

Enterprise Digital Transformation Internet of Things IoT 40

Rocket-Powered Data Science

JULY 14, 2023

This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. 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.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. Gartner has stated that “artificial intelligence in the form of automated things and augmented intelligence is being used together with IoT, edge computing and digital twins.” Internet of Things.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

Predictive Analytics 132

Predictive Analytics Analytics Machine Learning Digital Transformation 132

Corinium

APRIL 25, 2019

And more recently, we have also seen innovation with IOT (Internet Of Things). For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. And then the average insurance company can have millions of customers.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. IoT is one of the most disruptive forces organizations must contend with today.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

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 Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Prescriptive analytics goes a step further into the future.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361