Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Sponsored sessions

The sponsored presentations listed below happen Wednesday through Thursday and are open to all attendees with a badge.

11:1511:55 Wednesday, 24 May 2017
Location: Capital Suite 2/3
Jan Willem Gehrels (IBM Corporation)
Big data is the new oil—an extremely valuable commodity—but how do you transform raw data into actionable insights, recommendations, and potential profits? Jan Willem Gehrels outlines the tangible value of applying advanced (predictive and prescriptive) analytics to business questions across several markets and industries. Read more.
11:1511:55 Wednesday, 24 May 2017
Location: Capital Suite 4
Darren Strange (Google)
Average rating: ***..
(3.50, 10 ratings)
Darren Strange explores Google's lifelong mission to organize the world's information and make it universally accessible and useful and shares lessons learned along the way. Darren explains how Google grew from thinking of itself as a data company to being a machine-learning company and offers a glimpse of the company's future. Read more.
12:0512:45 Wednesday, 24 May 2017
Location: Capital Suite 2/3
Martin Oberhuber (Think Big, a Teradata company)
Average rating: ****.
(4.00, 1 rating)
In today’s big data world, organizations are struggling to establish new capabilities, processes, and organization models to deliver advanced analytics solutions. Martin Oberhuber explores real-world use cases that illustrate the capabilities needed to develop, deploy, monitor, and maintain analytical processes to seamlessly go from insight to production. Read more.
12:0512:45 Wednesday, 24 May 2017
Location: Capital Suite 4
Eric Lotter (WANdisco)
Eric Lotter offers an overview of WANdisco's strongly consistent replication service for replicating between cloud object stores, HDFS, NFS, and other S3- and Hadoop-compatible filesystems. Read more.
14:0514:45 Wednesday, 24 May 2017
Location: Capital Suite 4
Shree Dandekar (Honeywell)
A digital twin is a virtual model of a product or service that allows analysis of data and monitoring of systems to avert problems before they even occur—and even plan for the future by using simulations. Shree Dandekar explores a new cloud-based service from the Honeywell Connected Plant that provides industrial users with around-the-clock monitoring of plant data and rigorous simulations. Read more.
14:5515:35 Wednesday, 24 May 2017
Location: Capital Suite 4
Cory Minton (Dell EMC)
Average rating: **...
(2.50, 4 ratings)
Cory Minton pulls back the covers on how big data applications impact underlying hardware based on real-world deployments and shares Dell EMC’s internal testing and benchmarking used to develop its architecture best practices. Along the way, Cory shows you how to get your architecture right the first time for optimal performance and scaling. Read more.
14:5515:35 Wednesday, 24 May 2017
Location: Capital Suite 2/3
Average rating: **...
(2.67, 3 ratings)
Adam Grzywaczewski offers an overview of the types of analytical problems that can be solved using AI and shares a set of heuristics that can be used to evaluate the feasibility of analytical AI projects. Adam then covers the computational requirements for the deep learning training process, leaving you with the key tools you need to initiate an analytical AI project. Read more.
11:1511:55 Thursday, 25 May 2017
Location: Capital Suite 2/3
Secondary topics:  Deep learning
Radhika Rangarajan explains how Intel works with its users to build deep learning-powered big data analytics applications (object detection, image recognition, NLP, etc.) using BigDL. Read more.
12:0512:45 Thursday, 25 May 2017
Location: Capital Suite 4
Neil Cullum (BMC Software), Alon Lebenthal (BMC Software)
Average rating: *....
(1.00, 1 rating)
Neil Cullum and Alon Lebenthal demonstrate how BMC can help automate every aspect of the big data journey with Control-M’s enterprise-grade automation capabilities and job-as-code approach, helping you deliver big data projects faster and better. Read more.
12:0512:45 Thursday, 25 May 2017
Location: Capital Suite 2/3
Alon Elishkov (Outbrain)
Migrating petabyte-scale Hadoop installations to a new cluster with hundreds of machines, several thousands of jobs daily, and countless ecosystem integrations while maintaining a stable production environment is a challenging task. Alon Elishkov discusses the techniques and tools Outbrain has developed to achieve this goal. Read more.
14:0514:45 Thursday, 25 May 2017
Location: Capital Suite 2/3
Pranav Rastogi (Microsoft)
Average rating: ****.
(4.00, 1 rating)
Pranav Rastogi explains how to simplify your big data solutions with Datameer, AtScale, Dataiku, and StreamSets on Microsoft’s Azure HDInsight, a cloud Spark and Hadoop service for the enterprise. Join in to learn practical information that will enable faster time to insights for you and your business. Read more.