Keynotes from Strata + Hadoop World in San Jose 2016
Watch full keynotes covering data science, data tools, enterprise adoption and more. From Strata + Hadoop World in San Jose 2016.
Strata + Hadoop World keynote stage. (source: O'Reilly)
Experts from across the data world came together for Strata + Hadoop World in San Jose 2016. Below you’ll find links to full keynote presentations from the event.
Building practical AI systems
As a technical founder at Siri, Sentient, and Viv Labs, Adam Cheyer has helped design and develop a number of intelligent systems. Drawing on specific examples, Adam reveals techniques he uses to maximize the impact of the AI technologies he employs.
Learn faster. Dig deeper. See farther.
- Watch “Building practical AI systems.”
Apache Hadoop at 10
2016 marks the 10th anniversary of Apache Hadoop. This milestone provides us an opportunity to reflect on how we got here and where we are going.
- Watch “Apache Hadoop at 10.”
Using computer vision to understand big visual data
Alyosha Efros discusses using computer vision to understand big visual data.
Machine learning for human rights advocacy: Big benefits, serious consequences
The same machine learning methods used to learn about customers, improve speech recognition, and identify cat faces can also be applied to questions about conflict violence.
What’s next for BDAS (the Berkeley Data Analytics Stack)?
Michael Franklin offers an overview of the Berkeley Data Analytics Stack, outlines the current directions it’s taking, and settles once and for all how BDAS should be pronounced.
Nonsense science
Paula Poundstone offers a unique perspective on technology and data science.
- Watch “Nonsense science.”
Using commerce data to fuel innovation
Bruce Andrews from the U.S. Department of Commerce explains how commerce data can catalyze progress.
Summoning the demon: My perspective from the belly of the beast of AI
Jana Eggers has been in and around the field of artificial intelligence for more than 25 years, which gives her a unique perspective on what’s been accomplished in AI and what we’re still missing.
Driving the on-demand economy with predictive analytics
Eric Frenkiel explains how a trinity of real-time technologies—Kafka, Spark, MemSQL—is enabling Uber and others to power their companies with predictive apps and analytics.
Let’s get real: Acting on data in real time
Companies are differentiating themselves by acting on data in real time. But what does “real time” really mean? Jack Norris discusses the challenges of coordinating data flows, analysis, and integration at scale to shape business as it happens.
Delivering information in context
Ian Andrews explores why delivering information in context is the key to competitive differentiation in the digital economy.
- Watch “Delivering information in context.”
Apache Hadoop meets cybersecurity
Learn how organizations are turning toward the open source ecosystem to break down traditional cybersecurity analytics and data constraints.
- Watch “Apache Hadoop meets cybersecurity.”
Thinking like a Bayesian
Julia Galef outlines the most important principles of thinking like a Bayesian.
- Watch “Thinking like a Bayesian.”
Connected brains
Joseph Sirosh looks at how brains connected with sensors to the cloud and machine learning could revolutionize a field of medicine.
- Watch “Connected brains.”
Advanced analytics and the mystery of the missing jeans
Learn how different types of data, from cubes of structured data to live video streams from mobile systems, combine with analytical technology to inform the questions that can be answered.
Open by design, open for data
Open source software is a key source of innovation for companies, and the cloud is becoming the medium to enhance the benefits of open source.
- Watch “Open by design, open for data.”