Editeca

Rafael Fernández Vegue

Throughout this course, students will delve into the integration of Business Intelligence, Big Data, and AI within the BIM framework. They will learn to utilize key analytical tools, perform data mining, and generate insightful dashboards. The course also covers the architecture of Big Data solutions and the future impact of technology on BIM, equipping learners with the skills to drive innovation in the AECO sector.

Big Data Applied to BIM, AI and Machine Learning

Introduction to key analytics concepts, including transactional systems, KPIs, OLAP systems, and effective information consumption.

Business Intelligence Tools

Exploration of the initial architecture of the ecosystem, providing a solid understanding of the necessary infrastructure.

Analytical Tools and Platforms Ecosystem

Learning essential techniques, tasks, and algorithms with practical examples using Excel for data preparation, classification, clustering, association, and prediction in BIM.

Data Mining in BIM

Focus on traditional and advanced analytical solutions for BIM, exploring current applications in IoT, SmartCity, and national security.

Building Analytical Applications for Business Management

Understanding different types of dashboards and gaining practical experience using Microsoft Power BI and examples from Obvience.

Dashboard Generation

Introduction to AI fundamentals and its specific application in the BIM context.

Artificial Intelligence

Exploration of Big Data solution architecture, distributed files, Google File System, MapReduce, and understanding Hadoop from a BIM perspective.

Big Data

Examining how technology will continue to impact the development of Building Information Modeling (BIM).

Future of BIM and Technology

This advanced course offers a comprehensive immersion into the synergies between Business Intelligence, Big Data, and Artificial Intelligence applied to Building Information Modeling (BIM). Participants will explore essential tools, data mining techniques, and the application of emerging technologies in the BIM context.

Individuals working in the Building Information Modeling sector looking to enhance their skills with Big Data and AI applications.

BIM Professionals

Professionals in data analysis seeking to apply their skills in the architecture, engineering, and construction industries.

Data Analysts

Engineers interested in integrating advanced data technologies into BIM processes.

IT Engineers

Business

Cloud Engineering

Data

Design

Devops

Finance

Languages

Leadership

Marketing

Advanced management5

Agentic AI

AI Automation & Workflows

AI Coding / Vibe Coding

AI for Designers

AI for Finance

AI for Marketers

AI for Product Management

AI for Product Managers

AI Foundations

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Big Data Applied to BIM, AI and Machine Learning

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