IBM Big Data Hub
SEPTEMBER 11, 2018
Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while managing production costs efficiently.
IBM Big Data Hub
SEPTEMBER 19, 2023
Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.
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IBM Big Data Hub
JANUARY 25, 2024
Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? What’s at stake?
CIO Business Intelligence
JUNE 7, 2022
More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.
CIO Business Intelligence
NOVEMBER 14, 2022
Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Analytics, Data Science Clinical DSS. These systems help clinicians diagnose their patients.
CIO Business Intelligence
FEBRUARY 16, 2023
The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As
IBM Big Data Hub
JULY 6, 2023
A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles. Other companies using machine learning are tech companies, cloud computing platforms, athletic clothing and equipment companies, electric vehicle manufacturers, space aviation companies, and many others.
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