AI Product Leader Spotlight
Making AI successful with imperfect ingredients
There is no “AI Academy” for product managers to learn this new craft, at least not yet. Until then we should learn from those who have blazed their own trail, especially those who have successfully baked AI in to products across multiple contexts.
In this event we facilitate a conversation between an expert and you, to understand what it takes to make AI successful even if your ingredients – data, tech, people, process – are imperfect. Stefania Bonà has spent 10 years bringing AI to payment products we use every day, starting at Amazon and currently at Trustly.
Online Event Highlights:
- Interactive Presentations: Gain insights from leading experts on navigating the ChatGPT hangover, understanding the criticality of data quality, and what product people need to know to leverage AI effectively.
- Engaging Discussions: Dive deep into the realities of applying AI with imperfect data, exploring strategies for enhancing your business model through better prediction, despite the inherent challenges.
- Live Q&A: Have your questions answered in real-time, enabling a deeper understanding of the practical steps towards AI integration.
Who is this for?
- Product Owners/Managers looking to enhance their products with AI
- Product organization leaders wanting to size the AI opportunity across their portfolio
- Chapter Leads in AI, R&D, and Innovation responsible for capitalizing on AI
- AI team leaders want to work better with product teams
- Operations manager wanting to go beyond ChatGPT
What can you expect to learn?
- How straightforward AI implementation can be when you already have a customer-centric process
- Why your ingredients – data, tech, people, process – will never be perfect, and what to do about it
- How product people can upskill on data & AI to overcome the “ChatGPT hangover”
About the speakers
Stefania Bonà
Lead Product Manager – Data Science, Machine Learning Engineering & Analytics at Trustly
Stefania Bonà is a leader in payments and data, currently working as Lead Product Manager at Trustly, tapping into the account-to-account payments building products leveraging open banking. Before joining Trustly, she worked as a Data Science & Machine Learning Engineering Senior Product Manager at Checkout.com, and as EMEA Gift Cards Payments Product Manager at Amazon. She has over 10 years of experience in risk, machine learning and AI technologies.
Shaun McGirr
Chief AI & Data Officer at DevOn
Shaun McGirr is a data & AI leader with 20 years of varied experience across official statistics, academia, consulting, automotive, and software. He achieved minor stardom in the 2019 documentary Data Science Pioneers, coining the phrase “things that happen 35% of the time, happen ALL the time” to explain why quite likely outcomes are often dismissed out of hand.
Tomasz Klimek
Head of AI Delivery at DevOn
Tomasz is a seasoned professional, leading AI & Data-driven, Cloud Native Software & Platform projects with a relentless focus on high performance and best practices. He collaborates directly with clients across diverse industries to tackle business challenges, drive lean product evolution, and navigate ongoing digital transformation.
Agenda
AI product leader spotlight: Making AI successful with imperfect ingredients
Event Program – Starting at 10:00 UK Time
10:00 – 10:05
Introduction by Shaun McGirr
10:05 – 10:20
Presentation by Stefania Bonà
10:20 – 10:55
Conversation and Q&A facilitated by Tomasz Klimek
Questions?
United Kingdom:
The Netherlands:
“In more conversations than we can count, we find ourselves disabusing executives of their notions about what creates an AI advantage. A company needn’t aspire to be another AWS, Microsoft, Google, or Adobe…few companies outside the tech world are monetizing their own digital innovation. For them, innovation involves offering a fresh solution atop a base of digital capabilities. Competitors all have access to the same AI, yet business outcomes vary profoundly.”
– Silvio Palumbo – BCG & David Edelman – Harvard University in Harvard Business Review
Clarity on AI Integration: Gain a no-nonsense understanding of how to embed AI into your products without getting entangled in tech jargon.
Expert Insights: Learn directly from an industry leader about deriving true business value from AI and sidestepping common challenges.
Actionable Takeaways: Equip yourself with practical knowledge to make informed decisions, ensuring a high ROI on your AI endeavors.
Relevance for All: Tailored insights for product managers, product owners, and portfolio managers, but beneficial for all looking to harness AI.
No Prior AI Experience Needed: Whether you’re an AI novice or have some experience, the content is designed to be inclusive and enlightening for all attendees.
Dive into the AI landscape with confidence and foresight. Join us!
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