Predictive Analytics World for Healthcare Partners 2022

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

Sponsor Information

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.

  • 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.
  • We target your products and services
    • Digital consultancies and agencies working with large and / or multinational enterprises and brands
    • Machine Learning tool providers and platforms
    • Hardware and software for collecting and analyzing huge amounts of dat
    • Visualization tools
    • Market Research companies

     

  • 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
    • Ready-to-work stand
    • Help with suppliers
    • Professional and friendly operations staff constantly with you before, during and after the show
  • 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

     

Gold Sponsors

The MathWorks

MathWorks is the leading developer and supplier of software for technical computing and Model-Based Design.
Over 3,000,000 engineers and scientists in more than 180 countries, on all seven continents, use MATLAB und Simulink.
MATLAB enables Machine and Deep Learning in the Enterprise context through:
– a professional, easy-to-learn programming language together with a versatile development environment
– interactive apps for creating, training and comparing models 
– convenient integration into existing enterprise architectures and production systems
– direct access to latest models like GoogLeNet, VGG-16, VGG-19, AlexNet and ResNet-50 as well as interfaces to Caffe and TensorFlow-Keras
– Scaling of algorithms for out-of-memory data, CPU and GPU clusters, as well as big data and cloud platforms
– Application-specific function libraries from areas such as automated driving, econometric modelling, predictive maintenance, signal processing and much more.
– automated generation of C, C++ or CUDA code for embedded and high-performance applications

RapidMiner

Partner

Datentreiber GmbH

About 80% of all data & analytics projects fail. Because of lack of user acceptance or because there is no provable business value. Datentreiber fixes this problem for our clients by enabling them to design purposeful data & analytics strategies & solutions. For this we developed our own method and open source tools called Data Strategy Design which is used by companies such as Nestlé, Kühne+Nagel and ProSiebenSat1. Our network of certified consultants supports you with workshops, consulting and trainings. Visit our booth and learn more about Data Strategy Design and Datentreiber.

Media Partner

CDP Institute

The Customer Data Platform Institute educates marketers and technologists about customer data management.   The Institute publishes industry news and educational materials, provides vendor comparison reports, builds directories of industry vendors and service firms, and offers Webinars, workshops, and consulting on related issues.

Machine Learning Times

The Machine Learning Times has become the destination for the machine learning community. As the predictive analytics professionals’ premier resource, it delivers timely, relevant industry-leading content: articles, videos, events, white papers, and community opportunities. The only full-scale content portal devoted exclusively to predictive analytics and its commercial deployment, The Machine Learning Times has become a standard must-read.

Podcast: KI in der Industrie

More than three years ago, we published the first episode of our podcast “AI in Industry”. What started as a test quickly evolved into a medium listened to by many industry users, students and scientists. Our mission: demystify AI, ML, inspire industry users.

Blogpartner

Aigents

AIgents is a career community for Data Scientists and Computer Scientists. Visit AIgents.co to discover jobs, events and training courses in your field of expertise. Join our community to connect and collaborate with other members. Sign up to unlock free online skill tests, discounts on event tickets and test-based recommendations for jobs and training courses.

Seorie.net

IT-Schulungen.com

IT-Schulungen.com is the Education Center of New Elements GmbH. As one of the leading and at the same time manufacturer-independent providers of seminars and training courses in the areas of business, management and IT in the DACH region, around 7000 inquiries are processed annually. A differentiated seminar offer enables the individual processing of customer needs. Starting from open trainings in our seminar centers, over personal coaching, up to in-house trainings at your location, which are especially tailored to your requirements. Qualified and certified instructors provide you with the latest seminar content.

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