Lectures related to Business analytics

Accelerated Data Management Systems

Explores accelerated data management systems through real-time specialization on heterogeneous hardware and GPU accessing fresh data from CPU memory.

Orchestration Graphs

Delves into orchestration graphs, transition probabilities, and learning analytics for predicting student states.

ML Deployment Challenges and Food Distribution System

Covers challenges in ML deployment and using ML for predicting food crisis areas.

Internet of Things and the Evolved Workplace

Explores the transformative potential of IoT in workplaces and businesses, showcasing economic benefits, popular technologies, and vertical companies.

Introduction to Streams

Covers data streams, real-time analytics, challenges, data stream model, and efficient management.

Accelerating Data Analytics: Innovations in Post-Moore Era

Covers advancements in data analytics systems and the role of hardware-software co-design in enhancing performance in the Post-Moore era.

Analytics on Data at Rest and Data in Motion

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Sustainable Design of Steel Structures: Hazards & Wind Energy

Discusses sustainable design of steel structures against natural hazards and optimal wind energy systems, including challenges, risk assessment, wind farm layout optimization, and urban flow simulations.

Design Reflection Minute

Explores the ethical implications of predicting student performance using analytics.

Social Media and AI for Emergency Response

Explores social media analysis for emergency response and digital volunteerism tools.

Data Warehouses and Data Lakes

Covers data warehouses, data lakes, OLTP vs. OLAP, data quality, and the Data Lakehouse concept.

Digital Transformation: Solutions and Data

Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.

Analytical Trajectories: Key Ingredients

Explores analytical trajectories, emphasizing critical points, inequalities, and analyticity.

Environmental Engineering Specialization

Showcases Laura's research on plant hydraulic functions and climate change impacts.

Markov Chains: Theory and Applications

Covers the theory and applications of Markov chains in modeling random phenomena and decision-making under uncertainty.

Artificial Intelligence: The New Radical Addition to Work

Explores the convergence of IoT, Big Data, and Deep Learning in Artificial Intelligence applications across various industries.

Key Components in IoT and Benefits for Industry

Explores key components of IoT and its potential long-term economic benefits.

Big Data Best Practices and Guidelines

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

General-Purpose Distributed Execution System

Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.

Built-in Events: Activation Guide

Explains how to check and activate built-in events for analytics.