Maximize Your Impact at Machine Learning Week 2025
Machine Learning Week 2025, taking place on June 2, 2025, at the Sheraton Phoenix Downtown Hotel in Phoenix, Arizona, is one of the most business-focused events in applied artificial intelligence and data science. Companies attending range from Fortune 100 enterprises to tech-forward startups, all looking to accelerate decision-making around AI adoption, data-driven strategies, and vendor evaluation. Industry leaders in finance, healthcare, retail, government, and more will be represented, with participants including C-suite executives, data science leads, innovation heads, and IT strategists.
This conference serves as a high-value environment for both corporate buyers and technology providers. Attendees often come ready to discuss budgets, finalize evaluation criteria, and develop implementation roadmaps. Having access to Vendelux’s enriched attendee list can give you a deeper understanding of who is attending, their organizational priorities, and their level of decision-making influence. That clarity allows for more targeted, impactful engagement—especially crucial in a setting where timelines are compressed and stakes are high.
How Sales and Marketing Teams Can Use This Attendee List
The Machine Learning Week 2025 conference attendee list helps sales and marketing teams break through the noise by identifying the right decision-makers in enterprise tech, data stewardship, and AI operations. Teams can segment contacts by job function—such as heads of data science, directors of machine learning, or IT procurement leads—and adjust campaigns based on company size, sector, or AI maturity level.
With early access to this enriched conference attendee list, your team can begin personalized outreach to those setting budgets and leading initiatives. That means more high-quality meetings booked in advance with stakeholders already in-market. Use the attendee data to match solutions with specific enterprise use cases and follow up with relevance after the event. Sales leaders can also turn on-site conversations into longer-term partnerships by referencing pre-event interests captured through LinkedIn profiles, role descriptions, or past engagement.
Timing Is Everything
Machine Learning Week 2025 takes place on June 2, 2025. With just days until the event, now is the time to finalize outreach, confirm meetings, and develop your follow-up plan. Vendelux provides early access to the attendee list, giving your team a head start on building relationships with leads who are actively sourcing products and services aligned with AI transformation.
Since many attendees arrive in Phoenix with full calendars, early contact improves your chances of converting curiosity into scheduled conversations. Sync your sales messaging and marketing content to the attendee profiles to show up prepared and relevant.
What’s Included in the Machine Learning Week 2025 Attendee List?
The enriched attendee list from Vendelux includes each contact’s first and last name, job title, company name, company website, location including city, state, and country, LinkedIn profile, and whenever available, verified email addresses and phone numbers.
Where Is Machine Learning Week 2025?
Machine Learning Week 2025 will be held at the Sheraton Phoenix Downtown Hotel in Phoenix, Arizona, United States.
When Is Machine Learning Week 2025?
The event is scheduled for June 2, 2025.
What Type of Event Is Machine Learning Week 2025?
Machine Learning Week 2025 is a business-focused AI and data science conference, bringing together thought leaders and enterprise teams through keynotes, hands-on workshops, and panel discussions. It provides a strong networking environment for data professionals and solution providers to connect on next-gen strategies and technical execution.
How Many People Attend Machine Learning Week 2025?
Machine Learning Week 2025 is expected to draw over 800 attendees from across the United States and internationally. The audience includes senior professionals such as Chief Data Officers, AI project leads, data engineers, and innovation managers from sectors including finance, healthcare, government, and e-commerce.
