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. We are seeing an industry shift from enterprise asset management (EAM) toward asset life cycle management (ALM) due to the rise of AI and new sustainability regulations.

IoT 79

IoT Internet of Things Cost-Benefit Reporting 79

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. Enterprises are often bumping up to the limits of the field. Others call it the new gold.

Management 127

Management Internet of Things Statistics Data-driven 127

Smart Data Collective

MAY 25, 2023

Recent statistics indicate that 43% of cyberattacks target small businesses, and 60% of the attacked enterprises go out of business in six months. Cyber security solutions can be categorized into endpoint security, app security, internet of things security, network security, and cloud security. million yearly.

Internet of Things 90

Internet of Things Cost-Benefit Risk Software 90

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. Why should Chief Data & Analytics Officers care about data security? That’s the reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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

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. The challenge has been figuring out what to do once the model is built.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

datapine

AUGUST 29, 2022

However, once you start working with larger enterprise-level data sets with millions of rows and hundreds of columns of information, Excel may not be capable of handling such volumes. At this point, turning to self-service business intelligence would be the most affordable and effective solution.

Big Data 263

Big Data Data Analytics Analytics Data mining 263