Overcoming AI Delivery Challenges
About The Event
AI is on everyone’s mind, whether they understand it or not. Eighteen months after the ChatGPT boom, we are witnessing a more mature phase in which some are harnessing AI to great potential. However, many organizations have experienced a hangover effect, unable to deliver the ROI they expected, or promised, for various reasons.
In this event, our two speakers and panelists will explain how to avoid or overcome challenges when delivering solutions based on the newest and shiniest technologies in Artificial Intelligence. Part of this lies in understanding the technology correctly, choosing the right use case, or preparing the data, but equally important is the way we deliver and who delivers it.
Who is this for?
- Product Owners | Product Managers looking to deliver AI features faster and better
- Engineering team leaders/managers/directors looking to improve their productivity and way of working
- Product organization leaders wanting to improve their performance and workflows
- Any kind of management looking to understand more what are the challenges of AI implementation
- AI team leaders want to work better with product teams
What can you expect to learn?
- Typical Pitfalls in Building AI Solutions
- Best Practices for Planning and Managing AI Solution Implementations
- How AI is Transforming Project, Team, and Individual Management
What can you expect to learn & share from this event?
6 main takeaways you can expect
About the speakers
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.
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.
Stacy Cashmore
Tech Explorer DevOps,
Speaker, author, and software developer. Stacy has been developing solutions since the mid-1990s. She has a passion for sharing knowledge: using storytelling for sharing her experiences to help teams grow in the ways that they develop software and work together and performing live coding demonstrations to inspire others to try new technologies. For her effort in the community, Stacy has been awarded the Microsoft MVP for Developer Technologies since 2020.
Yash Gupta
AI Project Manager, Philips
Yash specializes in creating reliable and innovative AI models that are designed to match development strategies with business objectives. He has a proven track record of leading teams, engaging with stakeholders, and making algorithmic decision logics. His experience in creating cutting-edge AI technologies has not only helped drive product innovation and growth, but it has also allowed to support agile development and CI/CD techniques.
Yannis Katsaros
Central Data Science Manager, Just Eat Takeaway.com
Yannis Katsaros is an accomplished data science leader with a decade of diverse industry experience. With expertise in physics, astrophysics, and econometrics, he’s skilled in complex problem-solving and strategic insights. His career highlights include leading forecasting, pricing, and personalized model initiatives at Just-Eat-Takeaway.com, Hastings Direct, and Philip Morris International. Yannis combines analytical precision with strategic acumen, delivering exceptional results.
Organizers and moderators
Shaun McGirr
Chief AI & Data Officer
Tomasz Klimek
Head of AI Delivery
Overcoming AI Delivery Challenges
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 CJ Jenkins, Applied Science Manager at Zalando
5 Common Failures in AI Solution Development
While debate rages over definitions of Artificial Intelligence vs Machine Learning vs Automation, one thing is clear: getting predictions in to production remains tough. Join CJ Jenkins as she reflects on and updates her highly popular talk from the Everyday AI conference in 2022, “5 Ways to Fail at Machine Learning”, for the age of Gen AI.
10:20 – 10:45
Panel Discussion – CJ Jenkins, Yannis Katsaros & Shaun McGirr (moderator)
Making AI implementation successful
10:45 – 11:00
Presentation by Luciana Cerolini, AI Project Manager at Provenir
The changing rhythm of delivery teams in the age of AI
In the era of copilots and automation, humans interact with AI more than ever. How does this impact the daily work of software delivery teams, altering their cooperation? Moreover, how can management leverage this? Join Luciana as she shares insights from her organization, covering technology and people management, legal and security considerations, and her vision for the future with AI in the backdrop.
11:00-11:25
Panel Discussion – Luciana Cerolini, Yash Gupta, Stace Cashmore & Tomasz Klimek (moderator)
11:25-11:30
Summary and closing remarks – Shaun McGirr
When?
Thursday 18th April 2024 | 10 AM (GMT) | 11 AM (CET)
Questions?
United Kingdom:
The Netherlands:
* Source – AI Infrastructure Report
“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
Why Watch?
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
