Data Science Blog

JULY 23, 2023

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences. See this as an example which has many possible alternatives.

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Data Science Blog

FEBRUARY 4, 2023

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 business intelligence , process mining and data science. Cloud Data Platform for shopfloor management and data sources such like MES, ERP, PLM and machine data.

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Cloud Data Data Science Business Intelligence Business Intelligence 147

IBM Journey to AI blog

FEBRUARY 2, 2023

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 business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

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Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

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Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Blog

NOVEMBER 15, 2023

They enable quicker data processing and decision-making, support advanced analytics and AI with standardized data formats, and are adaptable to changing business needs. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Central data models in a cloud-based Data Mesh Architecture (e.g.

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Data Modeling Data Models Business Intelligence Business Intelligence 245

How to Learn Machine Learning

APRIL 26, 2025

So, they very often work with data engineers, analysts, and business partners to achieve that. At the heart of their work is the idea of setting up a stable and well-functioning data pipelinean automated set of processes that reads raw data from many sources, cleans it, and transforms it into formats for analysis.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. Db2 stands ready to embrace new challenges and opportunities within AI in the hybrid cloud data ecosystem.

Database 101

Database SQL Data Warehouse Machine Learning 101