AI Digital Forum
Ignite talks & Panel discussions
About The Event
Dive into AI innovation with our exclusive event, featuring a dynamic mix of 10-minute talks, engaging panels, and insightful interviews. Five esteemed speakers with rich backgrounds in product development and AI will share their experiences and strategies for success.
In the short talks, our speakers will share success stories of building AI-driven features in to existing products.
This will inspire you to think differently about how to enhance your products with AI, regardless of your starting point or AI maturity as an organization.
In the panels between talks, we will dig in to the ingredients needed to make it happen. The first will focus on organisational challenges to overcome when applying AI to existing products, while the second will focus on how AI is changing product development itself.
Who is this for?
- Product Owners/Managers & Project Managers looking to enhance their products with AI
- Product organisation leaders wanting to size the AI opportunity across their portfolio
- Engineering leaders hoping to apply AI to the development process
- Chapter Leads in AI, R&D, Innovation responsible for capitalising on AI
What can you expect to learn?
- Real-world applications of AI to enhance product value
- How to anticipate and overcome common challenges in AI integration
- Future of product development in the age of AI
About the speakers
Tjerk De Greef
Director Tech & Data at IBFD
As I Director Tech & Data, I am part of the Executive Board and primarily responsible for the fast adaptation of emerging technologies and to grow a culture of continuous innovation. I am driving IBFD’s digital transformation and promoting IBFD’s tech & data strategy. Driving the roadmap to deliver key technical and products features within reasonable time frames and budget constraints. Boosting product design thinking and develop experimental mindset around the application of advanced technologies.
Dr. Franziska Kirschner
Co-founder, Intropy AI
Dr. Fran started life as a physicist, completing her undergrad and PhD at Oxford. Driven by a desire to do something a little more applied, she switched to AI and and joined Tractable, a computer vision startup. After a few years as an AI researcher, she moved into product and launched several new multi-$M product lines. Now, Fran is a cofounder of Intropy AI, a startup working to enable enterprises to do more with generative AI. She also spends time as an AI advisor for startups and scale-ups. In her spare time, she loves to cook, eat, and travel the world to discover new and interesting types of potatoes (really).
Dr. Leslie Kanthan
CEO and co-founder of TurinTech
Dr Leslie Kanthan is CEO and co-founder of TurinTech, a leading AI Optimisation company that empowers businesses to build efficient and scalable AI by automating the whole data science lifecycle. Before TurinTech, Leslie worked for financial institutions and was frustrated by the manual machine learning developing process and manual code optimising process. He and the team therefore built an end-to-end optimisation platform – EvoML – for building and scaling AI.
CJ Jenkins
Applied Science Manager at Zalando
CJ is a reformed academic who spent many years building and deploying machine learning algorithms for various fintechs. She has spent recent times leading data and engineering teams, and loves helping people grow within their role and executing deliverables on time.
Jie Zheng
Senior DS & AI Manager at TUI GROUP
Jie Zheng, a seasoned Data Science and AI Manager at TUI brings over a decade of project management experience from the hospitality and travel industry. Her expertise in implementing various data science and AI solutions has significantly boosted profitability. Passionate about leadership and mentoring, Jie is committed to fostering an inclusive and learning culture within the data industry.
Luciana Cerolini
Project Manager – Artificial Intelligence, Provenir
Luciana, a project manager at Provenir, specializes in AI-powered risk decision-making software. She oversees data, analytics, and AML/AI aspects, collaborating with engineering and data science teams to align products with market needs. With six years in AI, she’s now focused on financial inclusion for banks and fintechs. Previously, she led a SaaS company’s implementation team, managing new system integrations, forming client partnerships, and enhancing accounts.
Organizers and moderators
Shaun McGirr
Chief AI & Data Officer
Tomasz Klimek
Head of AI Delivery
AI Digital Forum – Strategies for Success in AI Product Management
Event Program – Starting at 10:00 UK Time
10:00 – 10:05
Introduction by Shaun McGirr, Chief AI & Data Officer at DevOn
10:05 – 10:20
Presentation by Dr Franziska Kirschner, Co-founder of Intropy AI
The human-machine: building AI systems that users trust
In the era of copilots and automation, humans are interacting with AI more than ever before. But how do you know whether to trust an AI system? In this talk, I’ll share my experiences of how to build and test trustable AI, and, most importantly, how to build that genuine trust with users.
10:20 – 10:45
Panel Discussion – Dr Franziska Kirschner, CJ Jenkins, Jie Zheng, Shaun McGirr (moderator)
Challenges of Applying AI in Existing Products (trust, and everything else!)
10:45 – 11:00
Presentation by Tjerk De Greef, Director Tech & Data at IBFD
Data & AI are everywhere, value and quality not!
In a world where technology plays a pivotal role, companies and product managers start to look at technology as the holy grail for product development. But we tend to forget that Data & AI are not the solution itself, these are merely ways to end. We always need start from the user, their pain points and how products are used in their daily routines. And for that, we need to answer questions addressed in business and experiment canvasses.
11:00-11:25
Panel Discussion – Tjerk De Greef, Dr Leslie Kanthan, Luciana Cerolini, Tomasz Klimek (moderator)
Evolution of the Product Development Process in the Age of AI
11:25-11:30
Summary and closing remarks – Shaun McGirr
When?
You’d just missed the Event | Thursday 1st February 2024
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!
Fill out the request form to access the recording!
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Frequently Asked Questions
Who can I expected to find attending?
- Business leaders looking to leverage AI capabilities for their organization’s advantage,
- Product Owners & Product Managers looking for an use case for their product,
- Decision-makers aiming to make informed choices about AI adoption,
- IT and tech teams aiming to understand the broader implications of AI in business.
- CTOs, CDOs or CIOs
- Directors and VPs of development or engineering
- Software Engineering Managers
What are the 3 main topics of this event?
Event:
- Session 1 – Evolution and Future of AI and Generative AI
- Discover the true essence of AI and Generative AI, navigating beyond the hype and understanding their tangible benefits for businesses.
- Explore compelling case studies that showcase AI’s ability to revolutionize industries and unlock untapped opportunities.
- Learn how AI and Generative AI can be harnessed as strategic assets to enhance decision-making, customer engagement, and operational efficiency.
- Session 2 – Why complex AI isn’t always the answer?
- Deep dive into the AI & ML decision making
- Gain insights on how to apply reinforced learning to business problems
- Explore very crafted use case in the FinTech sector
- Session 3: Workshop – Defining Your Own AI Use Case to Drive Innovation and Growth
- Engage in an immersive workshop to identify and define a bespoke AI use case tailored to your business goals.
- Receive expert guidance on applying AI in your industry to address challenges and seize opportunities.
- Acquire practical knowledge about implementation, including infrastructure considerations, ethics, and scalability.
What is the duration of the event?
The event will start at 3:40 PM, with three sessions, and Q&A. We expect the day to end around 8-9 PM including the networking session, with food and drinks.
Will this event have a livestream?
No, the event can only be attended in-person. We have only 50 spots and work with a invite only policy.
We want to keep this event exclusive, so we are able to provide a well structured and in-depth exchange of knowledge.
Don’t miss this opportunity: sign up now!
Agenda
Core concepts (15 mins)
- What is AI doing in product terms? What is it not doing? Can it be a “feature”?
- Demystifying some technical terms to increase your confidence engaging others
- Measuring the ROI of AI (hint…measure it the same way, but predicting is harder)
- Short Q&A
Identifying opportunities in your products (25 mins)
- Where to look for opportunities (plus common pitfalls)
- 3 powerful questions to ask of every opportunity (necessity of AI; data & platform readiness; integration and adoption pathway)
- How to get moving at any stage of AI maturity
- Short Q&A
Concrete examples, end-to-end (15 mins)
- Failure story from Shaun’s experience – predicting what cannot be changed
- Success story from DevOn – delivering a working plugin for test generation
- More examples to follow
