DAIT Meetup #30: AI in Action: From Drones to Teams to Strategy
Join us for the 30th DAIT Meetup exploring real-world AI implementation, team dynamics, and innovation strategies. This meetup brings together practitioners working at different layers of the AI stack—from computer vision on aerial data to organizational architecture for AI teams to strategic AI adoption.
Agenda:
18:30 - Doors open, networking
18:45- Talk 1: AI as a Tool for Innovation (Aurora Kapo)
19:15 - Talk 2: Building Better AI Teams (Linda Shehu)
19:45 - Break
19:50 - Talk 3: Drone Mapping & AI (Ledio Zajmi)
20:30 - Networking & Drinks
Topics
1. Drone Mapping & AI: From Aerial Data to Actionable Insights
A technical deep-dive into applying computer vision and ML models to orthoimagery captured by UAVs. We'll explore the pipeline from raw aerial data to automated analysis, covering practical challenges in agriculture, infrastructure monitoring, and environmental assessment.
2. Building Better AI Teams: The Human Architecture Behind Machine Intelligence
AI project success depends less on model architecture and more on team architecture. This talk examines how to structure cross-functional AI teams, bridge the gap between ML engineers and domain experts, and create accountability frameworks that work for both technical and non-technical stakeholders.
3. AI as a Tool for Innovation: Strategic Adoption and Workforce Transformation
How organizations leverage AI for product innovation, creative workflows, and new market opportunities. We'll discuss building stakeholder trust in AI systems, case studies from companies successfully deploying AI products, and evolving skill requirements for engineering teams in the AI era.
Speakers
Ledio Zajmi | CTO & Co-Founder, SKAITECH
Ledio leads R&D in UAV hardware and drone mapping at SKAITECH. With a background in Mechatronics Engineering and telecom infrastructure, he specializes in integrating AI with aerial systems for real-world applications. He focuses on building intelligent data pipelines that transform raw drone imagery into actionable intelligence.
Linda Shehu | PhD Candidate, University of Lausanne
Linda researches organizational dynamics in AI teams at the intersection of management and technology. With experience spanning startups and NGOs, she investigates how human-machine collaboration evolves into collective intelligence. Her work focuses on the social and structural patterns that make AI initiatives succeed or fail.
Aurora Kapo | AI Strategy Manager
Aurora specializes in AI strategy and data-driven solutions. Holding degrees in Econometrics & Data Science plus an MSc in Statistical Science from Oxford, she works on translating AI capabilities into business value. Her focus areas include strategic AI adoption, innovation frameworks, and organizational transformation in the AI era.