AI for business training is a game-changer for companies looking to innovate and grow. By leveraging AI, businesses can automate routine tasks, freeing up employees to focus on high-value tasks that drive growth. This can lead to increased productivity and efficiency.
Studies show that companies that invest in AI training see a significant return on investment, with some seeing a 10-15% increase in revenue. AI can also help businesses make better decisions by providing data-driven insights and predictions.
Businesses can start small by implementing AI-powered tools and processes, and then scale up as needed. This approach allows companies to test the waters and see the benefits of AI before committing to larger-scale implementations.
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Course Information
This 6-week online course is designed to equip business professionals with the skills to implement AI solutions in their organizations, considering strategic, technical, and ethical factors.
The course covers the fundamentals of machine learning, natural language processing, and robotics, empowering participants to think critically about AI applications in their business.
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By the end of the course, participants will be able to develop a roadmap for AI implementation and identify potential AI applications that can help their organization grow in competitiveness.
The course is not just about technical details, but about equipping executives with principles, questions, and strategies to make informed decisions about AI.
No prior technical background is required, as the course focuses on the organizational and managerial implications of AI technologies.
Interactive exercises and real-world examples will train participants in techniques for prompting AIs to get valuable results.
The course is designed to help business professionals cut through the hype and confusion surrounding AI, gaining clarity on its applications and implications in business.
By the end of the course, participants will be equipped with the knowledge needed to transform their organization into an innovative and sustainable company of the future.
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Programme Details
This two-week, online course is designed to demystify large language models like ChatGPT. It's a comprehensive program that will guide you through the evolution, power, and flaws of AI.
The course focuses on overarching principles, not technical details, to equip executives with the knowledge and skills needed to make informed decisions about AI. This approach will help you become a confident and critically discerning user of AI.
Interactive exercises will train you in techniques for prompting AIs to get valuable results, and real-world examples will reveal how companies can use AI to their advantage. You'll learn how to use AI effectively, not just what it can do.
The course combines insights from leading experts and The Economist's journalists with personal feedback from experienced tutors. This unique blend of expertise will provide you with the essential knowledge and skills needed to flourish in the era of algorithms.
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Academics
The MS-AIB curriculum is designed to equip leaders with a business-aligned framework and strategies for implementing AI, delivering both technical skills and business skills to design, deploy, and apply AI mindfully in diverse business contexts.
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Students take classes in person at ASU’s Tempe campus and complete the full-time program in two semesters, with the option to add a third-semester custom track.
Core courses cover a variety of relevant topics, including foundational knowledge of AI, AI applications and impacts, how to build and train machine learning models for business applications, enterprise systems and process evolution, transforming business with AI, enterprise data analytics, AI and data analytics strategy, and more.
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Who Should Enroll
If you work closely with technologies and want to understand how AI and machine learning will transform the business environment in the coming years, this program is for you.
This program is designed for professionals directly involved in shaping their organization's technology and AI strategy.
Decision-makers responsible for driving digital transformation and AI adoption across various functional areas such as operations, marketing, product management, human resources, supply chain management, and strategy will find this program particularly beneficial.
The program is not geared towards technical details, but rather focuses on strategic insights.
You don't need to be a data scientist, software engineer, or have any technological background to enroll in this program.
The design of this course prepares current managers and high-level executives with strategic decision-making skills to effectively analyze and articulate key AI management and leadership insights.
Upon completion of the program, you'll be ready to apply your knowledge to support informed strategic decision making for the use of key AI technologies in your business.
Course Leaders and Contributors
The course leaders and contributors are a team of experts from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). They bring a wealth of knowledge and experience in artificial intelligence and machine learning to the table.
Byron Cooper, President and CEO of North Shore Steel, is one of the course participants who has gained valuable insights from the course. He now understands the fundamentals of machine learning, natural language processing, and robotics.
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David Grunewald, CEO of Havas Belgium, is another course participant who has gained the skills to implement AI solutions in his business. He's empowered to identify potential AI applications that would help his agency perform better.
The course is designed to equip business professionals with the skills to include artificial intelligence (AI) and machine learning (ML) in their business strategy. It explores the workings of generative AI, its applications, challenges, and the essential role humans play in guiding how it’s used.
Business and AI Topics
The demand for data professionals proficient in training and deploying AI models is growing rapidly in the current marketplace.
Employer surveys, alumni feedback, and our advisory board have all highlighted the need for individuals who can harness AI technologies responsibly and effectively to create value for businesses.
Our MSBA program covers various aspects of AI, including its role in driving digital change and its impact on various industries.
You'll gain a solid understanding of AI techniques through our required courses, which build a foundation for advanced AI knowledge.
The Responsible AI course is a key part of our curriculum, covering ethical considerations such as algorithmic bias, privacy issues, AI security, and AI transparency.
This course has hands-on components, so you'll learn not only about the concepts but also specific techniques for building responsible AI systems and solutions.
Some of the topics you'll cover in our program include:
- AI and Digital Transformation: Understanding the role of AI in driving digital change
- AI’s Impact on Various Industries: Examining sector-specific applications and case studies
- Big Data vs. Scattered Data: Strategies for harnessing large datasets effectively
- Deterministic vs. Probabilistic Technologies: Insights into different AI approaches and their business implications
- Machine Learning: An overview of supervised and unsupervised learning techniques
- Deep Learning and Natural Language Processing: Exploring advanced AI methods and their practical uses
Sources
- Master of Science in Artificial Intelligence in Business, MS-AIB (asu.edu)
- Artificial Intelligence: Implications for Business Strategy (getsmarter.com)
- Understanding and applying AI in business (economist.com)
- Artificial Intelligence in Business | Carlson School of (umn.edu)
- Artificial Intelligence in Business: Creating Value with Machine ... (harvard.edu)
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