Modern technology requires AI. AI is helping organizations make decisions and innovate by evaluating enormous data sets. AI automates labor-intensive tasks, freeing up workers to focus on key tasks. AI chatbots help in customer service. AI can find novel remedies by studying medical data. AI analyzes financial markets and investments. AI raises serious ethical and privacy concerns. To ensure alignment with fundamental values and goals, businesses should carefully assess their AI strategy. AI will help firms compete in today's data-driven market.
Lecture 1: https://www.youtube.com/watch?v=7Rd9OpauUNo&ab_channel=MadhusudanSingh Lecture 2: https://www.youtube.com/watch?v=tiABVXTGdcE&ab_channel=MadhusudanSingh
The Partnership of Asia Management Schools educates and trains the business and technological leaders of tomorrow in Asia. The program collaborates with prestigious institutions in Asia to provide original course materials. Business in the Association of Southeast Asian Nations (ASEAN) and Asian future technologies are also covered. Courses are taught in a Minerva-style format, and online/offline hybrid instruction and flipped-learning are also utilized. Students will work side-by-side with Asian businesses on real-world projects. Students will learn more about Asia's economy by looking at real-world business situations that take place there. The Partnership of Asia Management Schools wants to give the next generation of creative leaders a unique and thorough education.
Digital Data Literacy refers to the ability to understand and effectively use digital data in a business context. In the context of digital transformation, digital data literacy is a crucial skill for employees to have in order to effectively leverage data and digital technologies to drive business outcomes. It involves a basic understanding of data and how it can be used to inform decisions, as well as the ability to work with data-related tools and technologies.
The project aims to operate within the framework of the fourth industrial revolution, or Industry 4.0, which consists of a natural evolution involving production-related aspects, relating to new communication resources, data processing, and manufacturing approaches, expanding the possibilities of increasing industrial productivity, resource management, and firm performance, with broad positive impacts in a number of areas. Using developments in microelectronics, computing, and data communication, this process enables new software and artificial intelligence resources to be continuously associated with platforms and production systems, creating the conditions for the automation of prediction, monitoring, and planning and thereby optimizing production.
Courses included in the program:
Data Discovery & Data Exploration from the interdisciplinary field helps to discover, collect, analyze, select explore and visualize the big data.
This project aims to develop an effective curriculum plan for promoting digital transformation in various different industries. While learning about digital transformation methods and processes, the students will also cover the most recent and advanced technologies (such as artificial intelligence, data science, or blockchain). As a result, students’ digital literacy will also be expanded. Therefore, the ultimate goal of this curriculum plan is to boost job opportunities for all students, where the employment rate will be enhanced accordingly.
Courses included in the program:
AI-Driven Digital Transformation [https://www.youtube.com/watch?v=7Rd9OpauUNo&t=1s&ab_channel=MadhusudanSingh]
Blockchain Technology for Digital Business Model [https://www.youtube.com/watch?v=l6YoVmzy4PY&ab_channel=MadhusudanSingh ]
Digital Data Literacy in Digital Transformation
“Enabling IoT Technologies for Digital Transformation”, Emerging Trends on Internet of Things with Experimental Learning, TEQIP-3, National Institute of Technology (NIT) Sikkim, India, 26th Feb 2021. Virtual