Tag:

Cloud

WEDNESDAY

Track 1

17.05 to 17.45

From trained models to machine learning systems

William Benton - Red Hat

Track 3

11.00 to 11.40

Simplify data analysis over the cloud

Luke Han - Kyligence

12.35 to 13.15

The present and the future of Cloudera

Óscar Martínez Rubi - ClearPeaks

17.50 to 18.30

The future was this: Serverless face recognition in real-time video

Javier Ramírez - Amazon Web Services

Track 4

14.05 to 14.45

Icaro project: Predicting Biosphere Behavior by using ML Cloud Engine

Moisés Martínez - Sngular

Inés Huertas - The Sideways Project

14.50 to 15.30

From euros to zero: using Probabilistic Data Structures to reduce costs

João Neves - Siemens

Carlos Rodrigues - Siemens

17.05 to 17.45

Operationalizing Data Science using the Azure stack

María Medina - Microsoft

Track 5

11.45 to 12.25

Detecting “things” with edge computing and the cloud, and all the stuff you don’t see

Joaquín Amat Rodrigo - CEPSA

Ramiro Manso Alarcón - Keepler

15.35 to 16.15

#oneJourneyWiser

Carlos Herrera - Cabify

THURSDAY

Track 1

16.55 to 17.35

Living Apps

Chema Alonso - Telefónica

Track 2

14.40 to 15.20

AI @ Scale

Pablo Peris - Microsoft

Carlos de Huerta - Microsoft

Track 3

10.55 to 11.35

Purpose Built Databases: How to Build Modern Apps

Antonio Álvarez - Amazon Web Services

13.55 to 14.35

Learning from 100M Users – The Evolution of Data Ingestion at Prezi

Ivan Santini - Prezi

Tamás Németh - Prezi

Track 4

12.25 to 13.05

Jupyter Notebooks on GCP (Development Best Practices/Tooling)

Viacheslav Kovalevskyi - Google

Mike Cheng - Google

Track 5

10.55 to 11.35

Developing a cloud-based pure real time streaming platform and use cases

Rubén Casado - Accenture Digital

11.40 to 12.20

Core Analytics platform in a Cloud

Andrés Macarrilla García - Paradigma Digital

Andrés Navidad León - Paradigma Digital

15.25 to 16.05

Safety Experience Engine (SEE). Content Qualification Cloud Tool

Pedro Ventura - PRISA

Lander Trapaga Corral - Minsait

16.10 to 16.50

AI-powered Automated Data Quality on Data Lakes

Aitor Murguzur - Microsoft