Activity Instructions:
Throughout this workshop, you have delved into Agile AI principles, exploring theoretical and practical applications. Now, it’s time to apply what you’ve learned to real-world scenarios. You aim to develop a comprehensive solution to a specific Agile AI challenge, demonstrating your understanding and creativity.
Instructions:
Form New Teams: Join the group assigned to you, consisting of no more than 8 participants. Ensure a diverse mix of roles and backgrounds within your group.
Review Your Scenario: Each group will receive a unique scenario relevant to Agile AI challenges. Discuss and understand the scenario thoroughly.
Brainstorm on the Miro Board: Use the provided Miro template to brainstorm and outline your approach. Consider the following key areas:
Utilize AI tools and resources to enhance your brainstorming and solution development process. Some suggested tools:
For research and creativity: Perplexity AI, Gemini, ChatGPT
For content creation and visualization: Adobe Firefly
Develop a concise presentation (90 seconds) covering:
The problem identified
Your Agile AI approach
The tools and techniques used
Scenario 1: Optimizing Sprint Planning with AI Predictions
Problem: The current sprint planning process often leads to missed deadlines and inefficient task allocations.
Challenge: How can AI predictions improve the accuracy of sprint planning and resource allocation?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592903717610&cot=14
Scenario 2: Automating Repetitive Tasks Using AI Bots
Problem: Team members spend too much time on repetitive and mundane tasks, reducing overall productivity.
Challenge: How can AI bots automate these tasks to save time for more strategic work?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592903717772&cot=14
Scenario 3: Enhancing Customer Feedback Analysis with NLP
Problem: Manually analyzing large volumes of customer feedback is time-consuming and prone to errors.
Challenge: How can natural language processing (NLP) be used to automate and improve the accuracy of customer feedback analysis?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592903717794&cot=14
Scenario 4: Improving Incident Management with AI
Problem: The incident management process is reactive and slow, leading to prolonged downtimes.
Challenge: How can AI-driven predictive analytics help identify and resolve incidents before they escalate?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592903773943&cot=14
Scenario 5: Streamlining Employee Onboarding with AI
Problem: The employee onboarding process is inconsistent and time-consuming.
Challenge: How can AI streamline and personalize the onboarding process for new hires?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592903774044&cot=14
Scenario 6: Enhancing Project Management with AI Insights
Problem: Project managers struggle to keep track of multiple projects and their progress.
Challenge: How can AI provide actionable insights to improve project tracking and management?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592903774127&cot=14
Scenario 7: Personalizing Marketing Campaigns with AI
Problem: Current marketing campaigns are not effectively targeting the right audience segments.
Challenge: How can AI personalize marketing campaigns and improve engagement rates?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592903774162&cot=14
Scenario 8: Predicting Equipment Failures with AI
Problem: Unplanned equipment failures lead to significant operational disruptions and costs.
Challenge: How can AI be used to predict equipment failures and schedule proactive maintenance?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592903774674&cot=14
Scenario 9: Enhancing Product Development with AI
Problem: The product development cycle is lengthy and often misses market demands.
Challenge: How can AI be used to analyze market trends and customer needs to speed up product development?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592904120096&cot=14
Scenario 10: Optimizing Supply Chain Management with AI
Problem: The supply chain is inefficient, leading to delays and increased costs.
Challenge: How can AI optimize supply chain management to improve efficiency and reduce costs?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592904065644&cot=14
Scenario 11: Improving Customer Support with AI Chatbots
Problem: Customer support teams are overwhelmed with a high volume of inquiries.
Challenge: How can AI chatbots handle routine inquiries and improve customer support efficiency?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592904065783&cot=14
Scenario 12: Enhancing Risk Management with AI
Problem: Identifying and mitigating risks in projects is challenging and often reactive.
Challenge: How can AI help in proactive risk identification and mitigation in project management?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592904120073&cot=14
Scenario 13: Optimizing Resource Allocation with AI
Problem: Resource allocation is often based on intuition rather than data-driven insights.
Challenge: How can AI optimize resource allocation across projects and teams?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592904119956&cot=14
Scenario 14: Enhancing Financial Forecasting with AI
Case Study:
Problem: Financial forecasting is inaccurate and often leads to budget overruns.
Challenge: How can AI improve the accuracy of financial forecasting and budgeting?
https://miro.com/app/board/uXjVK5FUrMI=/?moveToWidget=3458764592904120037&cot=14