Maximize Your Impact at Deep Learning 2025
Deep Learning 2025, taking place July 21, 2025, at the University of Maia in Porto, Portugal, is one of Europe’s foremost conferences dedicated to advanced artificial intelligence and deep learning. Bringing together machine learning experts, applied researchers, academic leaders, and enterprise AI teams, this event serves as a pivotal forum for performance benchmarking, algorithmic innovation, and practical collaboration between academia and industry.
Attendees will include senior data scientists, CTOs, AI researchers, software architects, and innovation heads evaluating partnerships, scaling AI systems, and aligning R&D with strategic business goals. The event presents a rare opportunity to connect directly with decision-makers responsible for technical evaluations, deployment roadmaps, and vendor selection. With Vendelux’s enriched attendee list, you gain visibility into who is attending across verticals—so your team can align priorities, validate fit, and pursue timely conversations that lead to high-value engagement.
How Sales, Marketing and Revops Teams Can Use This Attendee List
Sales and marketing teams targeting the AI and deep learning ecosystem can use the Deep Learning 2025 attendee list to deeply segment prospects by technical focus, enterprise application, and department priority. With an enriched conference attendee list that includes verified contact information, your team can identify engineering leads driving pilot projects, heads of data who own infrastructure strategy, and academic labs open to industry partnerships.
Use attendee data to tailor outreach by interest area—whether that’s LLM fine-tuning, computer vision, or enterprise AI integration—and position your solution based on how targets are adopting or scaling deep learning. Book meetings well ahead of the event with budget holders or project leaders. Post-event, follow up using specific insights from sessions or attendee interests to create meaningful, informed engagement. This is how to get more meetings and turn technical introductions into long-term commercial relationships.
Timing Is Everything
Deep Learning 2025 takes place July 21, 2025. With just two months remaining, now is the time to begin active outreach. Leveraging Vendelux’s enriched attendee list early helps your team prioritize relevant accounts, identify technology evaluators, and start conversations that carry through to the event.
Use the lead time between now and July to customize messaging, set up pre-booked demos, and align your internal teams around the most promising AI use cases represented in the attendee base. Timely outreach ensures that conversations at the event aren’t starting from scratch—they’re the next step in a relationship already in motion.
What’s Included in the Deep Learning 2025 Attendee List?
Vendelux provides visibility into likely attendees at Deep Learning 2025 using a combination of organizer-provided data and predictive insights. Clients can upload their target account lists to find strategic matches—making pre-event outreach more accurate and actionable.
The enriched attendee list includes the first and last name, job title, company name, company website, location (city, state, country), LinkedIn profile, verified email addresses, and phone numbers when available.
Where Is Deep Learning 2025?
The event will be held at the University of Maia | Porto, Porto, Portugal.
When Is Deep Learning 2025?
Deep Learning 2025 is scheduled for July 21, 2025.
What Type of Event Is Deep Learning 2025?
Deep Learning 2025 is a technical and research-driven conference focused on artificial intelligence, neural networks, and advanced machine learning applications. It features keynotes, academic panels, paper presentations, and interactive networking sessions designed to foster collaboration between research institutions and industry leaders.
How Many People Attend Deep Learning 2025?
Deep Learning 2025 is expected to attract over 500 attendees from across Europe and the global AI community. The audience includes researchers, enterprise practitioners, technology leaders, and faculty engaging in deep learning development, innovation, and deployment decisions.
