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*Exclusive Company Training* Artificial Intelligence Strategy and Its Implementation in Company Processes

The course is implemented as an individual cooperation process with the company, in which the training serves as part of a broader strategic support. Its goal is to help the management team understand the possibilities of artificial intelligence (AI), as well as to analyze the company's needs and practical implementation scenarios in detail. During the training, a thorough assessment of the possibilities of AI use from a strategic and practical feasibility perspective will be carried out. Based on this analysis, specific AI application scenarios will be defined and approved, which will serve as the basis for the further creation and implementation of an AI technology adoption, development and implementation project in the company. The goal of the program is to provide the company's manager with the ability to launch AI projects at a strategic level at their initial stage, which includes: 1. Development of the organization's AI vision and strategy 2. Research and selection of AI use cases 3. Analysis of business requirements and preparation for technical development and implementation of AI The program provides structured training and practical support that allows the management team to make strategic decisions and effectively manage AI implementation processes.

Closest course start

Soon

Course Dates and Times

Course dates and times are agreed individually with the company.

Course Goals

To provide senior managers and decision-makers with an in-depth, strategically structured understanding of the integration of AI into business development. The company's management team will learn a systemic approach to implementing AI - from identifying and evaluating opportunities to setting priorities, planning resources and preparing the company for the technical launch of an AI project. The training provides practical guidelines and proven methodologies that allow you to make informed and sustainable decisions about the strategic application of AI in the company.

After the Course Participants Will Be Able To

  • Gain a clear and practical understanding of the AI implementation strategy and its impact on the organization
  • Identify and evaluate AI project opportunities within the organization
  • Understand how to select and manage external IT development partners effectively
  • Recognize the prerequisites for the successful technical implementation of an AI project
  • Understand the AI project life cycle and the specifics of AI project management
  • Reduce the risks associated with AI implementation

Prerequisites

Management team's interest in making strategic changes within the company to implement the efficiencies offered by AI tools

Teaching Methods

Experienced instructors will provide the necessary support and guidance throughout the training process. This training method promotes the acquisition of practical concepts and provides the opportunity to confidently apply knowledge in various everyday work situations.

Course Duration

2 months

Lecturers

This course is taught by one lecturer – Guntis Kalniņš – and is delivered by the organization AI Master Lab.

Course content

1.

lecture

1. Theoretical Insight: AI Technologies and Organizational Goals (2h, In Person or Online)

• Overview of AI technologies and their application in business
• Types of AI projects and their potential impact on the organization
• Alignment of AI projects with the organization's strategy

2.

lecture

2. Theoretical Overview: Management Aspects of AI Project Implementation (2h, In Person or Online)

• Team building and required roles and competencies
• Change management
• Collaboration with external developers
• Project implementation stages and their management

3.

lecture

3. Workshop: Ideation, Research and Initial Selection of AI Use Cases that Meet the Company's Goals and Priorities (3h Face-to-Face)

• Data availability for AI implementation
• Clarification and determination of business requirements
• Evaluation of technical feasibility of the AI project, defining technical and functional requirements
• Risk and resource analysis (human resource and financial needs)
• Setting technical specification requirements for AI developers and partners
• Fulfillment of prerequisites for technical launch of the AI project

4.

lecture

4. Workshop: Detailing, Analysis and Feasibility Assessment of Priority AI Projects (3h Face-to-Face)

• Data availability for AI implementation
• Clarification and determination of business requirements
• Evaluation of technical feasibility of the AI project, defining technical and functional requirements
• Risk and resource analysis (human resource and financial needs)
• Setting technical specification requirements for AI developers and partners
• Fulfillment of prerequisites for technical launch of the AI project

Guntis Kalniņš

Guntis Kalniņš is an artificial intelligence visionary, a business partner who connects people with technology. Experienced business leader, information technology expert, consultant, investor. Corporate partner in business development, innovation, digitalization and human talent development. Guntis has worked in responsible management positions in large international companies such as Accenture, Oracle, GE Money. Currently, he collaborates with fast-growing technology startups and provides group and individual consultations with elements of coaching, mentoring, business supervision and training.

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