Building AI Copilots: Stories from the Battlefield
Thu, Jan 18, 2024, 5:00 PM - 8:50 PM (UTC)
Event information
🚨 Thank you for your overwhelming response! We have reached full capacity.
If you still want to attend, please contact crew@make.com. In case a spot frees up, we will let you know.
In the era of pervasive AI and LLMs, it is tempting to design product features that were hard to imagine before. As the makers of a popular low-code development platform, we were thinking about how we could make the use of our product even easier and we decided to develop a copilot. And we also invited experts from other companies to share their stories.Â
We'll share many learnings from the journey, especially the mistakes we made along the way.
You will have a chance to hear from our speakers about:
How to set up an applied AI team from scratch
What skills do you need to learn or hire
What tools are great for prototyping (and where are their limitations for production use)
How iterative product development and customer feedback enable building AI features
What are the hard problems you will need to solve (and you don’t know about them in the beginning)
Join us on Thursday, 18th January at Make HQ for inspiring talks, lively discussions, and networking đź’¬
See you there! đź‘‹
Schedule
Open Doors
Prepare your QR ticket, meet our hosts, grab a drink, and find your spot to enjoy the evening.
Welcome & Intro
Our hosts will give you a warm welcome & intro to the event, our speakers, and the agenda.
Building Effective AI Teams - From Concept to Reality
Have you ever wondered what it takes to create a modern AI team from scratch? At Make, we had to learn the hard way and now we want to share our experience. We will talk about the main challenges, skills needed, and some tools that can help you pave the way. You can also look forward to real stories from the battlefield, successes, and missteps.
The Lifecycle of LLM-Powered AI Models
Managing AI models powered by Large Language Models (LLMs) poses unique challenges in utilizing feedback, evaluation, and testing for model improvements. The talk will cover similarities and differences between traditional Machine Learning model lifecycle and software engineering product development.
Iterate to Innovate: Deepnote AI’s Journey
How iterative product development and customer feedback enabled Deepnote to craft deeply integrated AI features.
Copilots Need Helmets Too: GitHub Copilot Security Case Study
Worried about the hackers targeting your new Copilot solution? Let’s learn from one of the best solutions in business — Microsoft GitHub Copilot to find out about the security mechanisms and precautions to implement in your new AI solutions.
Q&A session
Speaker
Speaker
Host
Speaker
Host
Speaker
We'll answer as many questions as possible, both from Sli.do and on the spot.
Networking & Drinks 🍹
It's your chance to talk to our speakers, meet new people, and challenge someone to a ping pong match or a table football game.
It's a wrap!
Speakers
Ondřej Romancov
Senior Software Engineer at Deepnote
Josef VeÄŤernĂk
Engineering Manager - AI at Make
Lukáš Drápal
Staff ML Engineer at Make
Miloslav Homer
Senior Application Security Engineer at Kiwi.com
Host
Ondřej Romancov
Senior Software Engineer at Deepnote
Anna KoĹľuch
Tech Community Manager at Make
Martin CĂzler
VP of Engineering at Make
Josef VeÄŤernĂk
Engineering Manager - AI at Make
Lukáš Drápal
Staff ML Engineer at Make
Miloslav Homer
Senior Application Security Engineer at Kiwi.com
Other information
*Please note that this event requires waitlist registration, and not all registrations may be approved. We welcome individuals who are interested in the topic and active community members. The organizer reserves the right to revoke tickets. Attendees must have a valid ticket for entry.
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