The Simple Economics of an Artificial Intelligence Project
Professor
Igors Rodins
About the professor
Igor Rodin has dedicated 30 years to Deloitte, with 25 of those as a partner. He has been at the helm of Deloitte’s AI Studio, spearheading AI and big data initiatives for some of Europe’s largest companies. A native of Latvia, Igor has also led AI projects in the Baltics. His unique blend of global best practices and deep understanding of Baltic business realities sets him apart. In this course, he combines his extensive theoretical knowledge with hands-on experience in cutting-edge AI. He teaches an AI course for Master in Data Science at Riga Transport and Communications Institute, AI and Strategy course for the EMBA class at Riga Business School and a number of courses at Swedish School of Economics.
Course Description
This course offers a unique opportunity to master the art of AI implementation from a seasoned industry expert. By leveraging real-world case studies and practical insights, participants will gain a comprehensive understanding of the challenges and opportunities associated with AI adoption. With a focus on strategic planning, resource allocation, and risk management, this course equips leaders with the essential tools to navigate the complexities of AI implementation and drive tangible business outcomes.
Course Goals
Prepare to successfully launch and manage an AI implementation project.
Focus on how organizations implement AI projects; share best practices – both in the world and in Latvia;
Adopt Deloitte’s accumulated knowledge of successful AI implementation;
Turn to modern technologies that enable the industrialization of AI.
After the course participants will be able to:
- Leverage case-studies for your business’ growth
- Understand the challenges and opportunites of AI
- Plan business resources strategically
- Manage risks that arise with best-practices and expert guidance
- Make deep impact in your business
Course will be:
In Person
Prerequisites
No prior knowledge of artificial intelligence or data science is required for participants.
Teaching methods used:
This is a course that relies on case studies and research to effectively address key issues in the field of artificial intelligence. These materials will be complemented by practical, situation-based presentations and class discussions.
Lecture 1
October 7th (or November 25th)
The structure of the artificial intelligence implementation project. From project development to proof of concept, pilot project and production stage. Examples of AI projects in Latvia.
Lecture 2
October 8th (or November 26th)
In-house development and contracting – benefits and pitfalls. Overview of technologies. Big technologies – benefits and pitfalls. Vendor relationship management.
Development of a step-by-step business case for an AI project. Choosing the right data science and business KPIs at each KPI stage. Measuring and managing AI project ROI.
Professor
Igors Rodins
About the professor
Igor Rodin has dedicated 30 years to Deloitte, with 25 of those as a partner. He has been at the helm of Deloitte’s AI Studio, spearheading AI and big data initiatives for some of Europe’s largest companies. A native of Latvia, Igor has also led AI projects in the Baltics. His unique blend of global best practices and deep understanding of Baltic business realities sets him apart. In this course, he combines his extensive theoretical knowledge with hands-on experience in cutting-edge AI. He teaches an AI course for Master in Data Science at Riga Transport and Communications Institute, AI and Strategy course for the EMBA class at Riga Business School and a number of courses at Swedish School of Economics.
Course Description
This course offers a unique opportunity to master the art of AI implementation from a seasoned industry expert. By leveraging real-world case studies and practical insights, participants will gain a comprehensive understanding of the challenges and opportunities associated with AI adoption. With a focus on strategic planning, resource allocation, and risk management, this course equips leaders with the essential tools to navigate the complexities of AI implementation and drive tangible business outcomes.
Course Goals
Prepare to successfully launch and manage an AI implementation project.
Focus on how organizations implement AI projects; share best practices – both in the world and in Latvia;
Adopt Deloitte’s accumulated knowledge of successful AI implementation;
Turn to modern technologies that enable the industrialization of AI.
After the course participants will be able to:
- Leverage case-studies for your business’ growth
- Understand the challenges and opportunites of AI
- Plan business resources strategically
- Manage risks that arise with best-practices and expert guidance
- Make deep impact in your business
Course will be:
In Person
Prerequisites
No prior knowledge of artificial intelligence or data science is required for participants.
Teaching methods used:
This is a course that relies on case studies and research to effectively address key issues in the field of artificial intelligence. These materials will be complemented by practical, situation-based presentations and class discussions.
October 7th (or November 25th)
The structure of the artificial intelligence implementation project. From project development to proof of concept, pilot project and production stage. Examples of AI projects in Latvia.
October 8th (or November 26th)
In-house development and contracting – benefits and pitfalls. Overview of technologies. Big technologies – benefits and pitfalls. Vendor relationship management.
Development of a step-by-step business case for an AI project. Choosing the right data science and business KPIs at each KPI stage. Measuring and managing AI project ROI.