Webinar: Building your AI capability
Learn real-life stories of AI & Data adoption
About The Event
AI adoption is a big topic in all industries right now. Using new technologies is tough, and often, company leaders are cautious about it. It’s also hard to create a work culture that’s comfortable with AI. One effective way to get everyone on board with AI is to show them successful examples and early wins. For instance, making predictions using data that companies already have can be a great start.
Jie and Colin will share their experiences with using AI in their organizations. They’ll talk about how they made it easier for everyone to work with AI, especially in making predictions based on the data that is already available in our organizations.
What can you expect to learn & share from this event?
6 main takeaways you can expect
Jie Zheng
AI & Data Senior Manager
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.
Colin Crawford
Director of Data Science
Colin is the Director of Data Science at Predyktable, a new AI and ML startup focused on the retail and hospitality sector looking to revolutionise the way companies use data to forecast tomorrow. Colin has worked across engineering, insurance and banking domains with roles leading multidisciplinary data teams developing solutions that solve business problems. Colin is a strong believer in pragmatic solutions, using big data and machine learning effectively whilst at the same time being wary of its reputation as the panacea to all modern data problems.
Agenda
Navigating the GenAI Journey: From Spark to Beacon (20 mins + 10 min Q&A)
Adopting AI in any organisation is a big challenge, and it often brings both excitement and worry. When talking about these ideas with team members, these feelings can clash. Jie Zheng will share her own experience of building these skills at TUI, focusing on both the good and hard times she faced. Her journey is somewhat like starting a new project inside the company and working well with internal stakeholders and investors was crucial.
Who buys clothes when the world cup is on? (20 mins + 10 min Q&A)
There are a lot of decisions you make that impact how your business operates and performs. But there is also a world around you that has is subject causes and events completely outside of your control. We want to show how using data we can account for the world around us giving us better ability to forecast demand and resulting in a wide range of potential benefits that this knowledge enables.
When?
You’d just missed the event | Tuesday | December 12th | 10 AM GMT | 11 AM CET | 15:30 IST
Where?
Zoom invitation will be send after the registration to the event
* Source – AI Infrastructure Report
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!
Request your free Webinar recording!
These companies attended last time
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
