Course Info
Code PI1-121
Duration 5 Days
Format Online
Course Summary
Modern technologies are making constant and vast advancements in all areas which greatly influences all industries that utilise them. One technology that has made extreme advancements in recent years is artificial intelligence.
Artificial intelligence is the merging of machine systems with data to create a process for functions for decision making and problem solving. Originally, AI was created to aid computer systems in their daily function, but have been developed to be utilised in a variety of situations and organisations. With the correct machine, AI is capable of consistently learning through data collection and can become increasingly more intelligent as it works, often making it a vital asset within business’.
When established with the right system, AI can be used to create innovation for an organisation. Innovation was traditionally a responsibility of management and leadership, and was eventually merged with technology to better evaluate decisions. The use of AI can almost completely erase the need for management, as they can create innovative ideas purely using data within the system, fully eliminating the probability of human error.
- To define artificial intelligence (AI).
- To evaluate the areas artificial intelligence can be implemented.
- To assess the advantages and disadvantages of using AI.
- To identify the limitations of AI.
- To understand the importance of AI.
- To integrate the use of AI with innovation.
- To utilise AI innovation to improve the functions of training, assessment and evaluation within an organisation.
- To find the balance between AI and human influence within business functions.
- To analyse different methods and techniques for invoking innovation.
- To encourage innovative thinking within the workplace.
- To communicate effectively with employees to explain and encourage the correct use of AI.
This course is designed for anyone who wishes to integrate AI into their organisation, particularly those with control over innovation. It would be most beneficial for:
- Innovation Managers
- IT Professionals
- System Analysts
- Technology Managers
- Code Managers
- Project Managers
- Chief Technology Officers (CTOs)
This course uses a variety of adult learning styles to aid full understanding and comprehension. Participants will review a case study of an established business that effectively uses Ai for process innovation to highlight key features.
They will partake in presentations, practical activities and group discussions to ensure a thorough understanding of the taught content. Participants will have ample opportunities to demonstrate the practical skills acquired through the use of an example AI system provided to them. This highly advanced system will grant participants the ability to put the learned skills into practice under the guidance of experienced professionals within this field.
Course Content & Outline
- Defining artificial intelligence.
- Assessing the roles divided between man and machine.
- Evaluating where AI can belong within an organisation.
- Understanding where processes can be improved with the use of AI.
- Creating expert AI systems.
- The learning curve of an AI system and those monitoring it.
- Limitations of Ai.
- The concept of institutional excellence.
- Methods of achieving sustainable excellence.
- The role innovation plays in maintaining excellence.
- Utilising the ‘Excellence Model’ for continuous improvement.
- Integrating AI and innovation for excellence.
- Identifying the current opportunities and creating action plans for achievement.
- Aligning business goals and objectives with market trends and industry standards.
- Reviewing examples of established AI models and their key factors.
- Data analysis and information mining in preparation for AI.
- Intelligent planning and stimulation.
- Smart training AI to perform a task or role.
- Intelligence assessment, evaluation and continuous monitoring.
- The vitality of innovation within an organisation.
- Urgent situations where innovation is required.
- The seven steps to achieving innovation.
- Developing SMART objectives.
- Creating action plans to implement innovative ideas.
- Using innovation to create Ai system concepts.
- Using Ai to further create innovation.
- Reducing the probability of human error.
- The process of AI innovation.
- Communicating with employees and colleagues to build confidence with AI.
- Navigating change resistance.
- Evaluating the different types of AI and how each one can influence outcomes.
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