Session 2: Emerging Technologies and AI
Learning Objectives:
- Define artificial intelligence.
- Present different emerging technologies.
- Use artificial intelligence and emerging technologies in applied research in VET assignments.
This session delves into three pivotal technologies – Internet of Things (IoT), Machine Learning (ML), and Blockchain, each corresponding to the core stages of the research data management process: data collection, data analysis, and data storage and archiving. These technologies were selected due to their transformative impact on modern research, providing advanced capabilities for real-time data gathering, sophisticated data analysis, and secure, transparent data preservation. IoT, ML, and Blockchain are now essential to the research ecosystem, enabling large-scale data handling, predictive insights, and secure collaboration across a wide array of research fields.
Now, begin the session by examining Internet of Things (IoT) technology, which is closely linked to the first stage of data management: data collection. We invite you to read the blog post titled “Enhancing Research with IoT: How Connected Devices Can Aid Professional Writers.” This post explains what IoT is and how professional writers can use connected devices to streamline their research, improve data accuracy, and gain deeper insights into their subjects.
You are invited to take the following quiz to help you assess your understanding of the issues dealt with, in this session. It includes 6 questions. Correct answers appear per question and the overall score upon completion.
Next, let’s explore Artificial Intelligence. Watch the video titled “AI, Machine Learning, Deep Learning, and Generative AI Explained.” This video provides an overview of how AI, Machine Learning, Deep Learning, and Generative AI are related. It defines intelligence as the ability to learn, infer, and reason, and highlights the unique strengths of each technology. By watching the video, you will gain a comprehensive understanding of these technologies and their interconnections.
Activity
Read the following case study on Palantir, an American company specializing in software platforms for big data analytics. Palantir has developed AI-powered platforms that integrate data from multiple sources, offering a comprehensive view of complex systems. These platforms leverage machine learning to analyse data, uncover patterns, and predict outcomes, aiding in strategic decision-making. This solution empowers users to make real-time, informed decisions based on a holistic understanding of their data.
Through this case study, you will gain insights into how Palantir utilizes AI and machine learning to address complex data challenges. You will learn how the company’s platforms integrate and analyse data, reveal hidden patterns, and provide predictive insights that enable real-time, informed decision-making. This will deepen your understanding of AI’s practical applications in big data and its influence on business strategy.
Three questions follow the case study.
Palantir Technologies_Case Study
Next, let’s explore blockchain technology, that plays a pivotal role in data storage and archiving through the online blog post “Blockchain Database: A Comprehensive Guide”. The blog post initially explains what blockchains are along with their function. Then it goes one step further explaining what a blockchain database is and the difference between blockchain and database. The article suggests that by combining the power of modern databases with the integrity of blockchains, blockchain databases offer a way to securely store data while still providing easy ways to query the data from the transactions.
You are invited to take the following quiz to help you assess your understanding of the issues dealt with, in this session. It includes 7 questions . Correct answers appear per question and the overall score upon completion