AI in Operations and Processes
Professor
Roberts Tomme
About the professor
Robert Tomme is co-founder and CFO/COO of AI startup Hyperscan, and co-founder and CEO of AI Academy, an AI training and consultancy. With a background from Bayes Business School in London and experience at investment bank JP Morgan, Robert combines financial expertise with a deep understanding of AI technologies. Through leading digitisation and data intelligence projects, he has developed a knack for increasing process efficiency and is able to clearly communicate complex AI concepts to novices and professionals alike.
Course Description
This course provides a comprehensive introduction to artificial intelligence (AI) and its applications in business operations. Participants will gain a solid understanding of AI principles, learn how to utilize AI assistants for practical tasks, and explore methods for automating repetitive processes. Through a combination of theoretical knowledge and hands-on exercises, the course equips professionals with the skills necessary to integrate AI into their organizations and optimize operational efficiency. Participants will be well-prepared to leverage AI to drive innovation and enhance business performance by taking this course.
Course Goals
Understand the fundamentals of artificial intelligence and its potential impact on operations and processes.
Learn effective methods of using artificial intelligence assistants in operations and process optimization tasks.
Understand the possibilities of work automation and data processing using artificial intelligence in operations and process management.
Learn methods for integrating AI into business workflows and process automation.
After the course participants will be able to:
Grasp the basic principles of AI and its role in operations management
Choose the right AI tools for specific operational tasks
Design and implement AI-driven automation solutions
Utilize AI for data processing and analysis to optimize operations
Understand the potential and limitations of AI in operations management
Course will be:
In Person
Prerequisites
- Basic knowledge of business operations and process management
- General understanding of basic principles of data analysis
- Basic computer skills, including working with spreadsheets
- Interest in the application of technology and innovation in business processes
- Openness to new approaches in process optimization
Teaching methods used:
- Theoretical lecture with interactive elements
- Practical examples and case studies on the application of AI in operations and processes
- Group discussions and hands-on exercises for using AI tools
- Demonstrations and hands-on tasks using AI solutions to optimize operations and processes
Topic 1
Basic understanding of artificial intelligence
How does AI work?
What is the role of AI now and in the future?
How to navigate AI as an industry?
What opportunities does AI bring to operations and processes?
What are the biggest challenges in implementing AI in business processes?
Topic 2
Effective use of artificial intelligence assistants in operations and processes
What are the types of AI assistants?
How to choose the most suitable?
How do AI assistants work?
What are the applications of AI assistants in operations and process management?
How to work effectively with AI assistants?
Topic 3
Work automation with artificial intelligence
How can AI automate repetitive tasks?
What are the most commonly automated business processes where AI can provide the most value?
How to create AI-based automation workflows?
How to measure the effectiveness and return of automation?
What are the challenges in applying AI in automation?
Topic 4
Data processing and analysis with artificial intelligence
How can AI process and analyze large amounts of data?
How to integrate AI solutions into existing business intelligence systems?
End of the course and summary of acquired knowledge
Professor
Roberts Tomme
About the professor
Robert Tomme is co-founder and CFO/COO of AI startup Hyperscan, and co-founder and CEO of AI Academy, an AI training and consultancy. With a background from Bayes Business School in London and experience at investment bank JP Morgan, Robert combines financial expertise with a deep understanding of AI technologies. Through leading digitisation and data intelligence projects, he has developed a knack for increasing process efficiency and is able to clearly communicate complex AI concepts to novices and professionals alike.
About the professor
Robert Tomme is co-founder and CFO/COO of AI startup Hyperscan, and co-founder and CEO of AI Academy, an AI training and consultancy. With a background from Bayes Business School in London and experience at investment bank JP Morgan, Robert combines financial expertise with a deep understanding of AI technologies. Through leading digitisation and data intelligence projects, he has developed a knack for increasing process efficiency and is able to clearly communicate complex AI concepts to novices and professionals alike.
Course Description
This course provides a comprehensive introduction to artificial intelligence (AI) and its applications in business operations. Participants will gain a solid understanding of AI principles, learn how to utilize AI assistants for practical tasks, and explore methods for automating repetitive processes. Through a combination of theoretical knowledge and hands-on exercises, the course equips professionals with the skills necessary to integrate AI into their organizations and optimize operational efficiency. Participants will be well-prepared to leverage AI to drive innovation and enhance business performance by taking this course.
Course Goals
Understand the fundamentals of artificial intelligence and its potential impact on operations and processes.
Learn effective methods of using artificial intelligence assistants in operations and process optimization tasks.
Understand the possibilities of work automation and data processing using artificial intelligence in operations and process management.
Learn methods for integrating AI into business workflows and process automation.
After the course participants will be able to:
Grasp the basic principles of AI and its role in operations management
Choose the right AI tools for specific operational tasks
Design and implement AI-driven automation solutions
Utilize AI for data processing and analysis to optimize operations
Understand the potential and limitations of AI in operations management
Course will be:
In Person
Prerequisites
- Basic knowledge of business operations and process management
- General understanding of basic principles of data analysis
- Basic computer skills, including working with spreadsheets
- Interest in the application of technology and innovation in business processes
- Openness to new approaches in process optimization
Teaching methods used:
- Theoretical lecture with interactive elements
- Practical examples and case studies on the application of AI in operations and processes
- Group discussions and hands-on exercises for using AI tools
- Demonstrations and hands-on tasks using AI solutions to optimize operations and processes
Topic 1
Basic understanding of artificial intelligence
How does AI work?
What is the role of AI now and in the future?
How to navigate AI as an industry?
What opportunities does AI bring to operations and processes?
What are the biggest challenges in implementing AI in business processes?
Topic 2
Effective use of artificial intelligence assistants in operations and processes
What are the types of AI assistants?
How to choose the most suitable?
How do AI assistants work?
What are the applications of AI assistants in operations and process management?
How to work effectively with AI assistants?
Topic 3
Work automation with artificial intelligence
How can AI automate repetitive tasks?
What are the most commonly automated business processes where AI can provide the most value?
How to create AI-based automation workflows?
How to measure the effectiveness and return of automation?
What are the challenges in applying AI in automation?
Topic 4
Data processing and analysis with artificial intelligence
How can AI process and analyze large amounts of data?
How to integrate AI solutions into existing business intelligence systems?
End of the course and summary of acquired knowledge