Implementing AI for Business Innovation#400624

• Analyse the impact of future trends on the development and application of AI across different industries.
• Identify key challenges and opportunities within their business landscape, considering how AI can be used to address current issues and anticipate future needs.
• Develop a future-oriented vision for leveraging AI to create innovative products, services, and business models within their organization.
• Explore the application of AI across various business functions, such as marketing, sales, product development, and customer service.
• Gain practical experience with basic AI tools and techniques to understand how AI solutions are developed and implemented.
• Develop strategies for effectively communicating the value proposition of AI to stakeholders within the organization.
• Build a personalized action plan outlining steps to explore and potentially implement AI solutions for business innovation.
• Consider the ethical implications of AI development and deployment within a business context.

• Business leaders, managers, and innovators seeking to explore how AI can transform their operations and create new value propositions.
• Entrepreneurs and product developers interested in leveraging AI for disruptive innovation and competitive advantage.
• Marketing, sales, and customer service professionals looking to utilize AI for personalized experiences and improved customer engagement.
• Project managers and team leads tasked with integrating AI into existing workflows and processes.
• Anyone interested in understanding the future potential of AI and its impact on business innovation.

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

Day 1: The Future of Business & AI
• Welcome and program overview.
• AI for Business Innovation: Exploring the transformative potential of AI across various industries, with real-world examples of companies leveraging AI for innovation.
• Future Studies for Business Leaders: Learning how to incorporate future studies methodologies like scenario planning and horizon scanning to identify potential disruptions and opportunities related to AI in the business landscape.
• The Future of Work & AI: Discussing the impact of AI on jobs and the future of work, focusing on how AI can augment human capabilities and drive innovation.
• Guest Speaker: An industry leader or entrepreneur who has successfully implemented AI for business innovation can be invited to share their insights and answer participant questions.
Day 2: Leveraging AI Across Business Functions
• AI in Marketing: Exploring how AI is used for personalized advertising, customer segmentation, and content creation.
• AI in Sales: Learning how AI can be leveraged for lead generation, qualification, and building stronger customer relationships.
• AI in Customer Service: Discussing the role of AI in chatbots, virtual assistants, and sentiment analysis for improved customer experience.
• AI in Product Development: Exploring how AI can be utilized for product design, optimization, and anticipating future customer needs.
• Hands-on Workshop: Building a Simple AI Chatbot: Participants will gain practical experience using a user-friendly platform or introductory coding environment to build a simple chatbot for customer service inquiries.
Day 3: The AI Development Process & Tools
• Understanding Machine Learning: Learning the core concepts of machine learning, the different types of algorithms, and their applications within AI solutions.
• Data for AI: Discussing the importance of data for AI development, exploring data gathering, preparation, and ethical considerations in data management.
• Intro to AI Development Tools: Participants will gain basic exposure to popular AI development tools and platforms for building and deploying AI models (no prior coding experience required).
• Case Study: analysing a real-world example of an organization that encountered challenges while developing or implementing an AI solution, discussing strategies to overcome such obstacles.

Day 4: Building Your AI Innovation Strategy
• Identifying AI Opportunities in Your Business: Facilitated brainstorming session to help participants identify specific opportunities within their own company or area of expertise where AI could be used for innovation.
• Building the Business Case for AI: Learning how to develop a compelling business case that highlights the potential benefits and ROI of implementing AI solutions.
• Managing Change & Leading AI Initiatives: Discussing strategies for managing internal change associated with AI adoption and effectively leading AI initiatives within your organization.
• Ethical Considerations & Responsible AI: Exploring the ethical implications of AI in business, focusing on topics like bias, fairness, and transparency within AI development and deployment.
Day 5: Launching & Measuring AI Success
• Putting Your Plan into Action: Developing a personalized action plan outlining steps to explore and potentially implement AI solutions for business innovation in your organization. This may include:
o Identifying specific business goals and challenges AI can address.
o Researching existing AI tools and solutions relevant to your needs.
o Building a team with the necessary skills or partnering with external AI expertise.
• Measuring the Success of AI Initiatives: Learning key metrics and frameworks for measuring the effectiveness and ROI of AI projects.
• The Future of AI & Business: Engaging in a facilitated discussion exploring the long-term implications of AI on business models, competition, and the global economy.
• Course Wrap-Up & Ongoing Learning: Reviewing key takeaways from the program, addressing any remaining questions, and discussing ongoing learning resources for staying informed about advancements in AI and its application in business.
• Networking & Innovation Showcase: Participants engage in a facilitated discussion to share their AI action plans and explore potential collaborations. They can also showcase their ideas for AI-driven innovation within their businesses.