From strategy to scale – How to hire the right team to execute your AI strategy
Having an AI strategy is one thing. Building the team that can actually execute it is another.
On September 29 in Vienna, we’re bringing together enterprise AI, data, technology, and business leaders to discuss what it really takes to move from AI strategy and pilots to implementation at scale.
The evening will focus on the people, skills, and capabilities behind successful AI execution: how to identify the gaps in your current team, what actually matters when hiring AI talent, when to build capabilities internally or bring in external expertise, and how companies are adapting their teams as AI agents move into real business workflows.
You’ll hear practical perspectives from leaders working across enterprise AI, data science, consulting, and technology, followed by mentoring sessions where you can bring your own questions and challenges into smaller conversations with experienced practitioners.
What we’ll cover
What capabilities companies need to turn AI strategy into execution
Why AI initiatives often get stuck between pilots and production
How to identify the skills missing from your current team
What actually matters when evaluating and hiring AI talent
When to build AI capabilities internally and when external expertise makes sense
How AI agents are changing enterprise workflows, roles, and team structures
Lessons from real AI implementations inside large organizations
Speakers and sessions
DACH Lead, AI & Agentic Commerce Consulting, Mastercard Advisors & Transformation
A fireside chat on enterprise AI, workflow agents, agentic commerce, and what companies are learning as they move from experimentation toward real business value and execution at scale.
CTO, Jimmy Technologies
Fundamentals Over Frameworks: What Actually Matters When Hiring AI Talent
What should companies really look for when hiring AI engineers and technical talent? Jakub will break down the fundamentals that matter beyond frameworks, buzzwords, and CV keywords.
Senior Data Scientist
AI Agents in Risk Assurance
A practical look at how AI agents can be applied in Risk Assurance and what implementing these systems means for enterprise teams, skills, and ways of working.
CEO, Jimmy Technologies
AI Delivery Gap & Anatomy of a Hire
Why is there often such a large gap between an AI strategy and the ability to deliver it? Martin will look at the anatomy of a strong AI hire and the capabilities companies need to close that execution gap.
Mentoring sessions
After the talks and Q&A, we’ll move into small-group mentoring sessions with experienced AI, data, and technology leaders.
Bring your own questions and current challenges around AI execution, team capabilities, hiring, internal versus external talent, or scaling AI initiatives. The goal is to make the evening practical and give you the chance to discuss what you are working on directly with experienced practitioners.
Who is this for?
This evening is designed for leaders and professionals responsible for turning AI ambition into execution, including:
Heads of AI, Data, Data Science, and Analytics
CTOs, CIOs, and technology leaders
Engineering and technical leaders
Product and digital transformation leaders
Innovation and strategy teams
Risk, compliance, and assurance leaders
Talent and hiring leaders responsible for technical teams
Other professionals involved in building and scaling AI capabilities inside their organizations
Agenda
18:00 — Doors open, networking and refreshments
18:30 — Welcome and introduction
18:40 — Fireside chat with Tyll Wrase, DACH Lead, AI & Agentic Commerce Consulting, Mastercard Advisors & Transformation
Enterprise AI, workflow agents, agentic commerce, and what it takes to move from strategy to execution.
19:25 — Fundamentals Over Frameworks: What Actually Matters When Hiring AI Talent
Jakub Drabik, CTO at Jimmy Technologies — 15 min
19:40 — AI Agents in Risk Assurance
Yogesh Singh, Senior Data Scientist — 15 min
19:55 — AI Delivery Gap & Anatomy of a Hire
Martin Stojka, CEO at Jimmy Technologies — 15 min
20:10 — Q&A and open discussion
20:25 — Mentoring sessions
Small-group conversations with experienced AI, data, and technology leaders around your current challenges.
20:50 onward — Networking and refreshments
The agenda may be adjusted as we add more mentors, speakers, and opportunities for practical conversations.