Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Schedule: Sponsored keynote sessions

9:15am–9:25am Wednesday, 09/28/2016
Location: Javits North
Jack Norris (MapR Technologies)
Average rating: ***..
(3.24, 55 ratings)
During election season, we’re tasked with considering the next four years and comparing platforms across candidates. What’s good for the country is good for your data. Consider what the next four years will look like for your organization. How will you lower costs and deliver innovation? Jack Norris reviews the requirements for a winning data platform, such as speed, scale, and agility. Read more.
9:40am–9:45am Wednesday, 09/28/2016
Location: Javits North
Martin Hall (Intel)
Average rating: **...
(2.47, 17 ratings)
The power of artificial intelligence and advanced analytics emerges from the ability to analyze and compute large, disparate datasets from varied devices and locations, such as predictive medicine and automated cars, at lightning-fast speed. Martin Hall explains why collaboration and openness are the key elements driving innovation in AI. Read more.
9:45am–9:50am Wednesday, 09/28/2016
Location: Javits North
Ron Bodkin (Google)
Average rating: ***..
(3.56, 32 ratings)
There’s been much discussion on open source versus commercial; CIOs and CTOs are increasingly interested in solutions that blend the benefits of both worlds. Ron Bodkin explains how Teradata drives open source adoption inside enterprises through a range of initiatives: direct contributions to open source projects, building orchestration software, and providing technical expertise. Read more.
10:05am–10:10am Wednesday, 09/28/2016
Location: Javits North
Patricia Florissi (Dell EMC)
Average rating: ***..
(3.17, 36 ratings)
Data, your most precious commodity, is increasing at an alarming rate. At the same time, an emerging business imperative has made this data a component of your deepest insights, allowing you to focus on your business outcomes. Patricia Florissi explains why the recent formation of Dell EMC ensures that your analytics capabilities will be stronger than ever. Read more.
9:10am–9:20am Thursday, 09/29/2016
Location: Javits North
Joseph Sirosh (Microsoft)
Average rating: ****.
(4.53, 15 ratings)
Will machine learning give us better eyesight? Join Joseph Sirosh for a surprising story about how machine learning, population data, and the cloud are coming together to fundamentally reimagine eye care in one of the world’s most populous countries, India. Read more.
9:30am–9:35am Thursday, 09/29/2016
Location: Javits North
Tags: real-time, iot
Average rating: ****.
(4.00, 5 ratings)
The need to quickly acquire, process, prepare, store, and analyze data has never been greater. The need for performance crosses the big data ecosystem too—from the edge to the server to the analytics software, speed matters. Raghunath Nambiar shares a few use cases that have had significant organizational impact where performance was key. Read more.
9:35am–9:40am Thursday, 09/29/2016
Location: Javits North
Chad W. Jennings (Google)
Average rating: ***..
(3.50, 12 ratings)
Chad W. Jennings demonstrates the power of BigQuery through an exciting demo and announces several new features that will make BigQuery a better home for your enterprise big data workloads. Read more.
10:00am–10:05am Thursday, 09/29/2016
Location: Javits North
Average rating: ***..
(3.73, 15 ratings)
Data has long stopped being structured and flat, but the results of our analysis are still rendered as flat bar charts and scatter plots. We live in a 3D world, and we need to be able to enable data interaction from all perspectives. Robert Thomas offers an overview of Immersive Visualization—integrated with notebooks and powered by Spark—which helps bring insights to life. Read more.
10:20am–10:25am Thursday, 09/29/2016
Location: Javits North
Paul Kent (SAS)
Average rating: **...
(2.36, 11 ratings)
Hadoop and its ecosystem have changed analytics profoundly. Paul Kent offers an overview of SAS's participation in open platforms and introduces SAS Viya, a new unified and open analytics architecture that lets you scale analytics in the cloud and code as you choose. Read more.