This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from businessintelligence , process mining and data science. Are you interested in scalable data architectures for your shopfloor management ?
Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for businessintelligence. Ensure that data is clean, consistent, and up-to-date.
In addition to BusinessIntelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of BusinessIntelligence this normalized data model can already be used.
In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as businessintelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictiveanalytics, that enable faster decision making and insights.
Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Big Data Analysis : Processes and analyzes large datasets to extract meaningful insights. Healthcare : Improves patient outcomes through predictiveanalytics and personalized medicine.
Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Big Data Analysis : Processes and analyzes large datasets to extract meaningful insights. Healthcare : Improves patient outcomes through predictiveanalytics and personalized medicine.
Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as businessintelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictiveanalytics that enable faster decision making and insights.
Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.
The PdMS includes AWS services to securely manage the lifecycle of edge compute devices and BHS assets, clouddata ingestion, storage, machine learning (ML) inference models, and business logic to power proactive equipment maintenance in the cloud.
AMC Networks is excited by the opportunity to capitalize on the value of all of their data to improve viewer experiences. “Watsonx.data could allow us to easily access and analyze our expansive, distributed data to help extract actionable insights.” ” Vitaly Tsivin, EVP BusinessIntelligence at AMC Networks.
Companies use BusinessIntelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. The integration of these technologies helps companies harness data for growth and efficiency.
We organize all of the trending information in your field so you don't have to. Join 17,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content