Machine Learning Safety Summit

More and more companies integrate AI technologies and machine learning algorithms into their business operations these days. Undoubtedly, it revolutionises our lives at a fast pace and solves a vast number of issues, including safety.

How can Machine Learning protect your company and your clients?

How to mitigate production risks using ML?

How can Machine Learning improve internet safety?

What are the limits of algorithms working together and how do we face those?

Led by the TOP Machine Learning practitioners and packed with different interactive sessions, the discussion will give you an opportunity to see real-life applications of algorithms and how international companies solve safety issues with machine learning.

Join the Summit this May in Amsterdam to learn, network and come up with new ideas on how to boost Machine Learning Safety!

WHO SHOULD ATTEND?

Chief, VP, Head, Director, Manager of:

Safety Engineering

Data analytics, Data science

Software Developer

Software Engineer

Machine Learning

Web Developer

Information Security

ABOUT THE ORGANISER

GIA Global Group is a team of the experienced market research and event management professionals aiming to boost business intelligence with a focus on cybersecurity, data analytics and operational excellence.

Through the high-quality international events gathering leading experts and senior-level executives globally we strive to provide businesses with the best industry practices and help companies to grow and achieve commercial success.

Our mission is to bring the maximum value to improve your business strategy and operations empowered by growth, innovation and agility.

ARE YOU INTERESTED TO SPONSOR THIS EVENT?

WE OFFER A WIDE RANGE OF SPONSORSHIP OPPORTUNITIES SUCH AS:

Speaking slots to share your experience with a senior audience

Exhibition locations to develop relationships with your target market

Marketing visibility to improve your reputation within the industry

FOR MORE INFO ABOUT OUR SPONSORSHIP PACKAGES, PLEASE CONTACT:

[email protected] OR CALL +420 234 230 783

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