When data-driven organizations start using Machine Learning at scale (i.e., automatically creating and operating machine-learned models for dozens of different use cases), they soon realize how important it is to leverage a robustly-engineered platform that removes the complexities of Machine Learning and allows different stakeholders to focus on what matters most; enhancing and automating decision making. In this workshop, we will give you an extensive overview of the BigML platform and discuss the design principles that have been followed to remove the extra complexities that developing end-to-end Machine Learning applications typically implies, while ensuring traceability, reproducibility, and many other features that mitigate the risks of operating hundreds, thousands or even millions of machine-learned models in the real world.

Speakers: Poul Petersen, Chief Infrastructure Officer; and Greg Antell, Machine Learning Architect.

This event will gather marketing experts that will present how they apply Machine Learning at their companies to provide better content, increase revenue, get more clients, and personalize the customer experience, among other benefits.

Speaker: MªJesús Alonso, Head of Communications and Events Manager.

Campus Party is an annual technology festival where thousands of hackers, developers, gamers, and geeks equipped with laptops camp out in tents on-site for the conference and hackathon. BigML will be there providing a Machine Learning workshop in a hands-on manner.

Speaker: Gabriel Menegatti, CEO at SlicingDice, BigML Partner.

In this one-day event, we will explore the state of the art in Machine Learning from both technology and business perspectives, with a special stress in its application to solving real-world problems in a variety of domains, including health care, finance, the legal sector, marketing or sales. To that end, they will showcase a series of actual use cases solved by real customers using ML platforms such as BigML’s.

Speakers: Dr. José Antonio Ortega (Jao) and Dr. Mercè Martín, CTO and VP of Applications respectively at BigML.