Review Sponsors and Partners 2022
Machine Learning Week Europe
Why partner with us?
“Predictive Analytics World is one of the best analytics conferences I have attended” Bin Mu, MetLife
For Sponsorship Opportunities
Europe: Claudia Finlay
Phone: +49 172 8267364
Email: exhibit@risingmedia.com
Americas and Asia: Paul B. Gillis
Phone: +1 508 208 8264
Email: pgillis@risingmedia.com
Blog/Media Partner Opportunities
Adhyan Jain
Marketing Manager
Email: marketing@risingmedia.com
Get on board as a blog or media partner, share the latest news, earn visibility and complimentary tickets.
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We deliver your target group
- Data Scientists, managers and commercial practitioners working with sophisticated tools, platforms and technologies to analyze large volumes of data and implement business decisions and models as well as strategic advice for the business performance of large corporates, multinational enterprises and brands and pure-play internet companies.
- Budget holders who look for and buy tools, technologies and services for data analysis.
- Influencers who use and determine the tools and services for data analytics and business improvement and decisioning.
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We target your products and services
- Machine Learning tool providers and platforms
- Digital consultancies and agencies working with large and / or multinational enterprises and brands
- Hardware and software for collecting and analyzing huge amounts of data
- Visualization tools
- Market Research companies
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We offer
- Bulls eye selection of your target audience
- Standard and bespoke packages for lead generation, knowledge transfer and branding
- Openness to new ideas for your appearance
- Competitive pricing
- Neutral and independent non-competitive event
- Networking app and lead generation tools to maximise your involvement
- Help with suppliers
- Professional and friendly operations staff constantly with you before, during and after the show
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We love to
- Help partners to reach their targets
- Provide great networking opportunities
- Cater excellent food and drinks
- Build long term relationships
- See customers coming back