Highlights from Strata + Hadoop World in New York 2016

Watch highlights covering data science, big data, data in the enterprise, and more. From Strata + Hadoop World in New York 2016.

By Mac Slocum
September 30, 2016
Strata + Hadoop World NY 2016 keynote stage Strata + Hadoop World NY 2016 keynote stage (source: O'Reilly Conferences via Flickr)

Experts from across the data world came together in New York for Strata + Hadoop World in New York 2016. Below you’ll find links to highlights from the event.

The new dynamics of big data

Mike Olson says a renewed approach focused on where, who, and why can lead to cutting edge data solutions.

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Decision 2016: What is your data platform?

What’s good for the country is good for your data. Jack Norris says organizations need to consider what their next four years will look like.

U.S. venture: Risk, values, founder outcomes

Susan Woodward discusses venture outcomes—what fraction make lots of money, which just barely return capital, and which fraction fail completely.

Collaboration and openness drive innovation in artificial intelligence

The power of AI and advanced analytics is realized from the ability to analyze and compute large data sets from varied devices and locations. Martin Hall says collaboration and openness are key elements driving this innovation.

Driving open source adoption within the enterprise

Ron Bodkin explains how Teradata spurs open source adoption inside enterprises through a range of initiatives.

Modern analytics with Dell EMC

With data increasing at an alarming rate, Patricia Florissi says it is essential that it be a component to your deepest insights.

Transforming health care through precision data science: Myths & facts

Sriram Vishwanath outlines areas where data science can have a significant impact on health care, and dispels myths where data science use contradicts realities within the health care ecosystem.

Hadoop in the cloud: A Nielsen use case

Cloudera CEO Tom Reilly and Nielsen Global CTO James Powell discuss the dynamics of Hadoop in the cloud, what to consider at the start of the journey, and how to implement a solution that delivers flexibility and meets enterprise requirements.

Inbox is the Trojan horse of AI

Alistair Croll looks at the sometimes surprising ways that machine learning is insinuating itself into our every day lives.

Connected eyes

Will machine learning give us better eyesight? Joseph Sirosh offers a surprising story about how machine learning, population data, and the cloud are coming together to reimagine eye care in India.

The tech behind the biggest journalism leak in history

Mar Cabra explains how technology made the Panama Papers investigation possible.

Business insights driven by speed

Todd Brannon says the need for performance crosses the big data ecosystem—from the edge, to the server, to the analytics software.

Google BigQuery for enterprise

Chad W. Jennings demonstrates BigQuery’s capabilities and announces several new features.

Data science: A view from the White House

DJ Patil and Lynn Overmann offer a look at how data science and open data are put to use by the White House.

Bring data to life with immersive visualization

We live in a 3D world and we need to enable data interaction from all perspectives. Robert Thomas says immersive visualization does just that.

From big data to human-level artificial intelligence

Gary Marcus asks: What explains the gap between what machines do well and what people do well? And what needs to happen before machines can match the flexibility and power of human cognition?

SAS: More open than you might think

Paul Kent offers an overview of SAS’s participation in open platforms and introduces a new open analytics architecture.

Post topics: AI & ML, Data

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