1) November 20th, 2024  9:00-13:00
November 21st, 2024  9:00-13:00
November 22nd, 2024  9:00-13:00

2) December 12th, 2024  9:00-17:00
December 13th, 2024  9:00-13:00

Online and In Person
Price: 450 € + VAT
Price with EU support: 135  € + VAT
Language: Latvian

AI and Strategy: A Practical Guide for Bringing AI to Enterprises

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 perspective on artificial intelligence, bridging the gap between complex technical concepts and their practical application in business. Led by an industry veteran with extensive experience in implementing AI solutions for global enterprises, the course provides a strategic overview of AI’s potential to transform organizations. Participants will gain invaluable insights into real-world AI implementations, ethical considerations, and the development of AI capabilities within their own organizations. By focusing on the business implications of AI rather than technical intricacies, this course empowers executives to make informed decisions and drive successful AI initiatives.

Course Goals

Focus on how organizations build AI capabilities, identify use cases and evaluate AI business cases;
Share world and Latvian best practices in the field of artificial intelligence and big data;
Adopt Deloitte’s accumulated knowledge of successful AI use cases; use Deloitte AI Institute resources;
Turn to modern technologies that enable the industrialization of AI.

After the course participants will be able to:

  • Learn practical AI implementation insights
  • Plan for strategic AI adoption
  • Navigate the complexity of AI with ease
  • Drive tangible business outcomes
  • Gain expert guidance
  • Make informed decisions

Course will be:

Online and In Person

Prerequisites

Teaching methods used:

This is a course based on case studies and research to effectively address key questions in the field of artificial intelligence. These materials will be supplemented with practical case-based presentations and class discussions.

Lecture 1

November 20th:

Introduction to artificial intelligence. Artificial Intelligence Organization.

Lecture 2

November 21st:

From Business Process to AI Use Cases: Selecting and Evaluating AI Use Cases.

Lecture 3

November 22nd:

Implementation of AI. Measuring and managing the economic efficiency of artificial intelligence projects. From data science to business KPIs.

AI and Strategy: A Practical Guide for Bringing AI to Enterprises

1) November 20th, 2024  9:00-13:00
November 21st, 2024  9:00-13:00
November 22nd, 2024  9:00-13:00

2) December 12th, 2024  9:00-17:00
December 13th, 2024  9:00-13:00

Online and In Person
Price: 450 € + VAT
Price with EU support: 135  € + VAT
Language: Latvian

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 perspective on artificial intelligence, bridging the gap between complex technical concepts and their practical application in business. Led by an industry veteran with extensive experience in implementing AI solutions for global enterprises, the course provides a strategic overview of AI’s potential to transform organizations. Participants will gain invaluable insights into real-world AI implementations, ethical considerations, and the development of AI capabilities within their own organizations. By focusing on the business implications of AI rather than technical intricacies, this course empowers executives to make informed decisions and drive successful AI initiatives.

Course Goals

Focus on how organizations build AI capabilities, identify use cases and evaluate AI business cases;
Share world and Latvian best practices in the field of artificial intelligence and big data;
Adopt Deloitte’s accumulated knowledge of successful AI use cases; use Deloitte AI Institute resources;
Turn to modern technologies that enable the industrialization of AI.

After the course participants will be able to:

  • Learn practical AI implementation insights
  • Plan for strategic AI adoption
  • Navigate the complexity of AI with ease
  • Drive tangible business outcomes
  • Gain expert guidance
  • Make informed decisions

Course will be:

Online and In Person

Prerequisites

Teaching methods used:

This is a course based on case studies and research to effectively address key questions in the field of artificial intelligence. These materials will be supplemented with practical case-based presentations and class discussions.

Lecture 1

Introduction to artificial intelligence. Artificial Intelligence Organization.

Lecture 2

From Business Process to AI Use Cases: Selecting and Evaluating AI Use Cases.

Lecture 3

Implementation of AI. Measuring and managing the economic efficiency of artificial intelligence projects. From data science to business KPIs.