Product Owners: Are you ready to ride on AI wave?
Today, everyone’s talking about Artificial Intelligence (AI) and how it’s going to change the way we conduct business, and live our lives, forever.
In fact, it’s shaping up to be the single biggest technology revolution the world has ever seen. It’s a completely new factor of production, capable of driving business growth by augmenting natural human expertise, taking automation to new places, and diffusing innovation throughout society.
Interestingly, customer experience is one of the most disruptive area by AI as AI has already proven that it has potential to enhance customer experience extensively across industries.
A new cohort of AI-first businesses is flowing into the market. As many as three-quarters of the executives say that some kind of AI will be actively implemented in their organization within three years. It’s happening because AI technologies are finally hitting the mainstream. McKinsey estimates AI techniques have the potential to create between $3.5 T to $5.8 T in value annually across nine business functions in 19 industries. At the same time, another study conducted by Accenture indicates 53% of all companies are in pilot mode or early stage AI adoption mode and not yet reaping benefits. From the early stages of AI adoption and beyond, many companies are either stopped in their tracks or slowed due to several obstacles that range from data to talent, to the technologies themselves. When addressed, each of these perceived stumbling blocks can also be a key enabler of AI benefits. Through this topic, we would like to talk about “talent” as an obstacle. Talent which can visualize & drive implementation of next generation product and services that are infused with AI and how Product Owners can be readied to fulfill this asks! We will spread awareness on following queries among Product Owner community:
• Do you understand what AI is?
• How product owners can contribute to the success of AI?
• What it can do, and the ethical questions it raises?
• Have we truly grasped the game-changing implications for our business, our industry and for the society we live in?
This activity cum talk is here to help answer some of these questions and more based on our own experience of accidentally crossing over the line to become Product Owners of an AI enabled delivery platform from our earlier role of Agile coaches.
We are part of a product owner team and from last 3 years, visualizing & conceptualizing that how AI can help agile teams to be more predictive, productive and efficient. Hence, wants to share our experience to help our agile experts community.
Outline/Structure of the Talk
Outline/Structure of the Talk:
1. Introduction (5 minutes)
2. Importance of AI for Product Owners, Now? (5 mins)
** Current State and Future Potential
3. Journey Towards AI Aware Product Owner (10 minutes)
** AI Journey for Product Owners
** AI knowledge, certifications and more
** What is Feature engineering?
** Why Feature Engineering is important for Product Owners to know?
4. Level 1 Challenges that every Product Owner must know (10 minutes)
** Introduction to common challenges of AI Journey. Why it is important to visualize and address these challenges proactively with examples?
5. Level 2 Challenges (10 minutes)
** Introduction to Explainable AI (XAI). Explain how organizations are implementing the same with industry examples and from our own experience.
** Introduction to Responsible AI (RAI). Explain how organizations are implementing the same with industry examples and from our own experience.
6. Conclusion (5 minutes)
** A Day In Life of AI Product Owner from our own experience.
• Gain basic understanding of different AI technologies & Machine Learning (ML) types
• What is feature engineering and role of Product Owner in feature engineering Visualization of various AI capabilities and when (not) to enable them
• The ability to identify the risks associated with AI and remediation of consequences along the AI journey
• Understanding of key steps of an AI journey
Product Owners, Business stakeholders, Scrum Masters, Agile Coaches, Business Analysts
Prerequisites for Attendees
Exposure to AI is good but not mandatory
Prior Agile exposure preferably as Product Owner/Product Manager or Business Analyst