AI Business & the Future of Work
Transform your organization to be more efficient, sustainable, and innovative with AI. Gain insights into the future of work and learn how AI can be used to achieve business goals. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
22nd May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [April 17th, 2023]
Lunds University's AI Business & the Future of Work course provides an overview of the opportunities and risks of artificial intelligence (AI) for organisations. Through short lectures, interviews and interactive exercises, students will gain an understanding of how to use AI to make their organisation more efficient, sustainable and innovative.
The course is taught by Anamaria Dutceac Segesten and features interviews with 12 industry professionals, AI experts and thought leaders from different industries. These include Kerstin Enflo, Professor in Economic History at Lund University; Dr. Irene Ek, Founder of Digital Institute; Samuel Engblom, Policy Director at the Swedish Confederation of Professional Employees; Pelle Kimvall, Lead Solution Ideator at AFRY X; Joakim Wernberg, Research Director, Digitalisation and Tech Policy at Swedish Entrepreneurship Forum; Marcus Henriksson, Empathic Leader of AI & Automation and Digital Business Development at Empathic; Johan Grundström Eriksson, Board Advisor, Innovation Management & Corporate Governance and Founder & Chairman, aiRikr Innovation AB; Jakob Svensson, Professor in Media and Communication Studies at Malmö University; Ulrik Franke, Senior Researcher at RISE Research Institutes of Sweden; Björn Lorentzon, Nordic Growth Lead at Sympa; Anna Felländer, Founder of AI Sustainability Center; and Prof. Fredrik Heintz, Associate Professor of Computer Science at Linköping University.
By the end of the course, students will have a better understanding of how to use AI to transform their organisation and be better prepared for the future of work.
[Applications]
Completing this course will provide participants with the knowledge and skills to apply AI to their organisation. Participants will be able to develop strategies to use AI to increase efficiency, sustainability, and innovation. They will also be able to identify potential risks associated with AI and develop strategies to mitigate them. Additionally, participants will gain insight into the perspectives of industry professionals, AI experts, and thought leaders from different industries.
[Career Paths]
The career paths recommended to learners of this course are:
1. AI Business Strategist: AI Business Strategists are responsible for developing and implementing strategies to help organizations leverage AI technology to improve their operations and increase their competitive advantage. They must have a deep understanding of the current and emerging trends in AI technology, as well as the ability to identify and analyze potential opportunities for their organization. As AI technology continues to evolve, AI Business Strategists will need to stay up-to-date on the latest developments and trends in order to remain competitive.
2. AI Data Scientist: AI Data Scientists are responsible for collecting, analyzing, and interpreting data to identify patterns and trends that can be used to inform decision-making. They must have a strong understanding of AI technology and be able to use it to develop predictive models and algorithms. As AI technology continues to evolve, AI Data Scientists will need to stay up-to-date on the latest developments and trends in order to remain competitive.
3. AI Product Manager: AI Product Managers are responsible for developing and managing products that leverage AI technology. They must have a deep understanding of the current and emerging trends in AI technology, as well as the ability to identify and analyze potential opportunities for their organization. As AI technology continues to evolve, AI Product Managers will need to stay up-to-date on the latest developments and trends in order to remain competitive.
4. AI Solutions Architect: AI Solutions Architects are responsible for designing and implementing AI solutions for organizations. They must have a deep understanding of the current and emerging trends in AI technology, as well as the ability to identify and analyze potential opportunities for their organization. As AI technology continues to evolve, AI Solutions Architects will need to stay up-to-date on the latest developments and trends in order to remain competitive.
[Education Paths]
Recommended Degree Paths:
1. AI Business: This degree path focuses on the application of AI in business, including topics such as data analysis, machine learning, and automation. It also covers the ethical implications of AI and the impact of AI on the future of work. Developing trends in this field include the use of AI to improve customer experience, the development of AI-driven decision-making tools, and the use of AI to automate mundane tasks.
2. AI and Machine Learning: This degree path focuses on the development of algorithms and models to enable machines to learn from data. It covers topics such as supervised and unsupervised learning, deep learning, and natural language processing. Developing trends in this field include the use of AI to automate complex tasks, the development of AI-driven decision-making tools, and the use of AI to improve customer experience.
3. AI and Robotics: This degree path focuses on the development of robots and other autonomous systems. It covers topics such as robotics engineering, computer vision, and motion planning. Developing trends in this field include the use of AI to automate complex tasks, the development of AI-driven decision-making tools, and the use of AI to improve customer experience.
4. AI and Data Science: This degree path focuses on the application of data science to AI. It covers topics such as data mining, data visualization, and predictive analytics. Developing trends in this field include the use of AI to automate complex tasks, the development of AI-driven decision-making tools, and the use of AI to improve customer experience.
Pros & Cons
Essential foundations for Digital Transformation
Good introduction to AI
Wellrounded foundation for AI
Good learning of AI risks and possibilities
Effective introduction of AI into business
Limited scope
Difficult language for nonnative speakers
Outdated information in some cases
Course Provider
Provider Coursera's Stats at AZClass
This Lunds University course will help learners understand and use artificial intelligence to transform their organizations to be more efficient, sustainable and innovative. Learners will understand the opportunities and risks of AI and how to develop strategies to make AI work for their business. The course will cover topics such as automation, machine learning, robotics, digital transformation and business intelligence. Learners will be guided through the topics through short lectures, interviews and interactive exercises, and will also hear from 12 industry professionals, AI experts and thought leaders from various industries.
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