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

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

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?

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

Cloudera

FEBRUARY 4, 2019

Streaming Analytics – Analyze millions of streams of data in real-time using advanced techniques such as aggregations, time-based windowing, content-filtering etc., to generate key insights and actionable intelligence for predictive and prescriptive analytics. He is a prolific speaker, blogger, and a weekend coder.

IoT 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

BizAcuity

MARCH 31, 2022

AI comes handy for managing inventory, manufacturing, production and marketing. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data. Prescriptive Analytics: Prescriptive analytics is the most complex form of analytics. AI Platforms.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

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.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 9, 2025

These models uncover meaningful patterns in data that can be displayed through summary statistics and visualization techniques, serving as a starting point for more advanced forms of analysis like predictive and prescriptive analytics.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Jet Global

MAY 1, 2023

The industries that are users of embedded analytics are interesting. The Business Services group leads in the usage of analytics at 19.5 And Manufacturing and Technology, both 11.6 The sample included 1,931 knowledge workers from various industries, including financial services, healthcare, and manufacturing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

FEBRUARY 13, 2025

Artificial intelligence (AI)-enabled systems are driving a new era of business transformation, revolutionizing industries through prescriptive analytics, personalized customer experiences and process automation.

Risk 116

Risk Data-driven Finance Risk Management 116