Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK


18:00–19:30 Wednesday, 1/06/2016
Location: Auditorium
Average rating: ***..
(3.29, 14 ratings)


Ignite is back at Strata + Hadoop World in London on Wednesday, 1 June. The theme emphasizes the wonder and mysteries of big data and pervasive computing. Join us for a fun, high-energy evening of speed talks by the London data community, all aspiring to live up to the Ignite motto: Enlighten us, but make it quick.

Ignite is free and open to the publicregister here to attend. (Strata + Hadoop World attendees do not need to register separately for this event.)

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Tomorrow, feedback and serendipity are for the rich—Alistair Croll
When algorithms optimize everyone’s lives, only the wealthy will be able to afford to ignore their advice. Alistair explores what happens to art, creativity, and serendipity in a life too well optimized.

The amazing things you can learn about the American political process in 300 seconds—Lisa Langsdorf, MapD
Candidates in the US will spend more than $7 billion in the 2016 election cycle, the vast majority of it from individual donors. Lisa offers a visual tour of where it comes from, who gives what, what parts of the country lean toward what party, and some interesting secrets that you may not have known.

Unleash you imagination: Create art from your data!—Brian Hills, The Data Lab
Data science is an inherently creative process full of experiments and visual communication; however we spend most of our time locked to screens doing it. Brian argues that if we stepped away from our devices and tried a different type of experiment, taking our data and interpreting it through physical art such as drawing or painting, we could unleash our imagination and boost our creativity.

What I learn about architecture from running marathons—Ted Malaska, Cloudera
What do running and architecture have in common? Ted explains how long hours of training, blisters, and shin splints relate to life-changing lessons in software architecture.

From opera to big data, or their unexpected similarities—Anne Sophie Roessler, Dataiku
Anne Sophie describes her journey between these two supposedly very different universes and how the knowledge of the opera world can help a lot in understanding a data project—as well as how singing, big data projects, egos, and many different languages can be canalized by an agile and flexible framework.

There is no such thing as a smart city—Frank Cuypers, Destination Think
There are no smart cities; there are only smart citizens. Frank explains that the way we organize our society does not keep pace with the way technology develops. We are a bunch of Spartans that want to rule the Athenians.

Superhero GPS—Lukasz Bonenbeg, University of Nottingham
GPS is one of the most amazing technologies created by mankind, providing, by design, free positioning information for anybody on Earth. If this wasn’t enough, it can, alongside three subsequent systems, provide atomic accuracy time anywhere on the globe. Lukasz demonstrates how this hidden utility is making our civilization tick and grow further.

What is your fashion style?—Martina Pugliese, Mallzee
Martina explains how big data in fashion can help us understand what styles people relate to, what they prefer to wear, and how widespread the style of someone is across categories. Eventually, we can spot conformists and outliers, the latter of which will create new viral trends.

The first-digit rule—Mikael Dautrey, ISITIX
Consider a real-life dataset (the Fibonacci numbers or UK government spending between May and September 2010, for instance); then take the first digit of each point. Would you expect a uniform distribution, 11% of 1, 11% of 2. . .? Wrong intuition—there is a 30.1% chance the first digit is 1! That odd phenomenon is called Benford’s law. Mikael explores its multiple applications.

Confessions of an unlikely big data skeptic—Tim Berglund, DataStax
Tim offers a reminder that while big data is an incredibly powerful tool, it has not rewritten the rules of knowledge. Induction is still a dangerous game, even when it’s a really, really big induction.

There is no privacy in mobile data—Joerg Blumtritt, Datarella
On every smartphone, more than 20 sensors continuously monitor our movements, actions, and environment. The data produced draws a vivid picture, telling the story of our everyday lives. Joerg offers a glimpse of how creepy this can get with wearable technology like smart watches.

How to date (a film)—Dimitrios Mitsinikos, Gower Street Analytics
Film Dating is industry jargon for the selection process of a film’s cinema release date. It is a complex business process and an interesting data science problem too. A 5-minute case study behind the creation of bespoke predictive analytics tools that assist experienced executives in business critical decisions.