article thumbnail

P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

article thumbnail

10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes. In an interview with the Wall Street Journal, Matthias Winkenbach , director of MIT’s Megacity Logistics Lab, details how last-mile analytics are yielding useful data. million miles.

Big Data 275
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., They cannot process language inputs generally. Industry 4.0

article thumbnail

Future Proof: Technology Solves for Business Value

CIO Business Intelligence

They focus on the things that offer collaboration and agility, such as online voting technology and collaboration tools for data visualization, in addition to augmented reality capabilities like Microsoft HoloLens. Effective leaders pivot and deploy the right technologies to solve for business needs.

article thumbnail

Quantitative and Qualitative Data: A Vital Combination

Sisense

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. These programs and systems are great at generating basic visualizations like graphs and charts from static data.

article thumbnail

Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring.

article thumbnail

10 ways the oil and gas industry can leverage digital twin technology

IBM Big Data Hub

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime. Supply chain optimization : Oil and gas supply chains are very complex.