Webinar: Implementing AI without breaking the bank
Advance AI ideas beyond the proof-of-concept stage and achieve tangible ROI
What can you expect to learn & share from this event?
6 main takeaways you can expect
About The Event
Recent innovations in AI have transformed the cost landscape, making it easier than ever to integrate in products and services, but many still struggle to generate useful ROI. The challenge is that moving beyond proofs-of-concept requires rethinking business processes end-to-end, otherwise you end up slightly optimizing already-optimized processes.
Enter product management, a mature discipline that specialises in discovering and delivering value through agile methodologies and relentless customer focus. As AI gains traction, product teams are exploring ways to ensure it generates tangible product value rather than just being a buzzword. To make this a reality, it’s essential to comprehend AI using terms familiar to product managers, without getting lost in the technicalities.
Shaun McGirr
Chief AI & Data Officer
Data leader Shaun McGirr’s expertise spans statistics, academia, and consulting, especially in automotive data science. Known for his insights in the documentary Data Science Pioneers, Shaun promotes the power of strategic questioning in data science for real-world impact.
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
General Q&A (30 mins)
When?
You’ve just missed it! | Thursday | November 16th | 10 AM GMT | 11 AM CET | 15:30 IST
Where?
Zoom invitation will be send after the registration to the event
* Source – The state of AI in 2023 by McKinsey & Company
* Source – The state of AI in 2023 by McKinsey & Company
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
